# Source paper archive

- Source title: NRT2.2 is essential for nitrate uptake and carbon-nitrogen balance in Nannochloropsis oceanica
- Author(s): Santin, A., Verdesca, L., Bellan, A., Minio, M., Gerotto, c., Morosinotto, T., Perin, G., Alboresi, A.
- Source landing URL: https://www.biorxiv.org/content/10.64898/2026.11.02.763162v1
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1 **TITLE**


2 NRT2.2 is essential for nitrate uptake and carbon-nitrogen balance in _Nannochloropsis oceanica_


3


4 **AUTHOR NAMES AND AFFILIATIONS**


5 Anna Santin &#91;1,a&#93;, Laura Verdesca &#91;1,b&#93;, Alessandra Bellan &#91;1&#93;, Miles Minio &#91;2&#93;, Caterina Gerotto &#91;2&#93;, Tomas


6 Morosinotto &#91;1&#93;, Giorgio Perin &#91;1&#93;, Alessandro Alboresi &#91;1 &#93;


7


8 1 Department of Biology, University of Padova, 35131, Padova, Italy


9 2 Department of Life and Environmental Sciences, Marche Polytechnic University, 60131 Ancona,


10 Italy


11


12 a present address: UMR7141- Photobiology and Physiology of Plastids and Microalgae (P3M),


13 CNRS, Sorbonne University, 75005, Paris, France


14 b present address: Stazione Zoologica Anton Dohrn, Villa Comunale, 80121, Naples, Italy


15


16 - Corresponding author: Alessandro Alboresi. Department of Biology, University of Padova, Italy.


17 &#91;Email: alessandro.alboresi@unipd.it&#93;(mailto:alessandro.alboresi@unipd.it)


18


19


20 **Running head:** NRT2.2 and nitrate uptake in _Nannochloropsis_


21


22


23 **ORCID**


24 &#91;Anna Santin: https://orcid.org/0000-0002-2950-7046; Laura Verdesca: https://orcid.org/0009-0001-&#93;(https://orcid.org/0000-0002-2950-7046)


25 &#91;6220-9972;&#93;(https://orcid.org/0009-0001-6220-9972) Alessandra Bellan: &#91;https://orcid.org/0009-0008-2346-5560;&#93;(https://orcid.org/0009-0008-2346-5560) Miles Minio:


26 &#91;https://orcid.org/0009-0002-8522-2368; Caterina Gerotto:&#93;(https://orcid.org/0009-0002-8522-2368) &#91;https://orcid.org/0000-0001-7142-3535;&#93;(https://orcid.org/0000-0001-7142-3535)


27 &#91;Tomas Morosinotto: https://orcid.org/0000-0002-0803-7591; Giorgio Perin: https://orcid.org/0000-&#93;(https://orcid.org/0000-0002-0803-7591)


28 &#91;0002-9204-4080; Alessandro Alboresi: https://orcid.org/0000-0003-4818-7778&#93;(https://orcid.org/0000-0002-9204-4080)


29


1


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30 **ABSTRACT**


31 Nitrate is the dominant nitrogen source for marine microalgae, yet how it is taken up remains poorly


32 understood in many ecologically and biotechnologically relevant species. Here we show that


33 NITRATE TRANSPORTER 2.2 (NRT2.2) is the principal nitrate transporter of the oleaginous


34 marine microalga _Nannochloropsis oceanica_ . _N. oceanica_ encodes only two NRT2 proteins and,


35 unlike land plants and green algae, lacks a recognizable homolog of NITRATE ASSIMILATION

36 RELATED 2 (NAR2), the partner protein that green-lineage NRT2s require for activity and plasma


37 membrane targeting. CRISPR knock-outs and confocal imaging showed that NRT2.2 is located at the


38 plasma membrane and is required for nitrate uptake, whereas its paralog NRT2.1 cannot compensate


39 for its loss. When nitrate was resupplied after nitrogen starvation, _nrt2.2_ mutants did not take up


40 nitrate and did not resume growth, while they recovered normally with ammonium. Their


41 photosystem II efficiency fell below that of fully nitrogen-starved wild-type cells, and chlorophyll


42 content was reduced, while total protein remained stable. Fixed carbon was redirected into storage,


43 with lipids and carbohydrates accumulating above the levels of all strains after 3 days of nitrogen


44 starvation. Loss of NRT2.2 therefore mimics a prolonged nitrogen starvation, even though nitrate is


45 available. Because nitrate was present but could not be used, recovery from starvation depends on the


46 capacity to take up nitrate, not only on its availability. In the ocean, where nitrate is depleted for long


47 periods and resupplied episodically, NRT2.2 is thus likely to set how quickly _Nannochloropsis_ can


48 use new nitrate inputs and resume growth.


49


50 **KEYWORDS**


51 Nitrate transporters; nitrogen starvation; carbon-nitrogen balance; lipid accumulation; marine


52 microalgae; _Nannochloropsis oceanica_ ; NRT2


53


2


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54 **INTRODUCTION**


55 Nitrogen (N) is an essential macronutrient for all photosynthetic organisms, required for the synthesis


56 of proteins, nucleic acids, chlorophylls and numerous metabolic cofactors. Its availability therefore


57 directly determines growth and productivity, as its assimilation is tightly coordinated with carbon


58 fixation and energy metabolism (Simionato et al., 2013; Santin et al., 2026). While the molecular


59 networks controlling N uptake and signaling are well established in land plants (Wang et al., 2018;


60 Maghiaoui et al., 2020; Cassan et al., 2023), the mechanisms of N transport in marine microalgae


61 remain poorly understood (McCarthy et al., 2017; Busseni et al., 2019; Smith et al., 2019) .


62 Marine phytoplankton can use a variety of inorganic and organic N sources, including nitrate (NO 3 &#91;-&#93;


63 ), ammonium (NH 4 &#91;+&#93; ), nitrite and, in several taxa, urea and amino acids. The relative contribution of


64 these sources depends on the species, their environmental availability and the energetic cost of their


65 assimilation (Glibert, 2016). Although NH 4 &#91;+&#93; is energetically cheaper to assimilate, its concentration


66 in seawater is very low, from ~0.3 µM in the euphotic zone to ~0.01 µM below it, whereas NO 3 &#91;-&#93;,


67 although often below 1 µM in surface water, is the largest pool of bioavailable N in the ocean (Gruber,


68 2008; Sanz-Luque et al., 2015). In both cases, concentrations are lower and more variable than in


69 soil, where they can reach the millimolar range (Kabala et al., 2017). Marine microalgae must


70 therefore acquire NO 3 &#91;-&#93; efficiently even at very low concentrations, which makes membrane transport


71 a critical step in N acquisition, storage and assimilation.


72 NO 3 &#91;-&#93; transport across biological membranes relies on proton-coupled active transporters of the major


73 facilitator superfamily (MFS), which are predicted to contain twelve transmembrane helices (von


74 Wittgenstein et al., 2014; Rogato et al., 2015). Within the MFS, NO 3 &#91;-&#93; transport is primarily mediated


75 by members of two evolutionarily distinct families: the low-affinity NITRATE TRANSPORTER


76 1/PEPTIDE TRANSPORTER FAMILY (NRT1/NPF) and the high-affinity NITRATE


77 TRANSPORTER 2 (NRT2) family. The two families differ in their transport properties and


78 physiological roles. NRT1/NPF proteins generally mediate NO 3 &#91;-&#93; uptake at higher external


79 concentrations and have diversified to transport a broad range of substrates, including peptides,


80 hormones and secondary metabolites in addition to NO 3 &#91;-&#93; (Fan et al., 2017; Santin et al., 2021; Santin


81 et al., 2024). NRT2 proteins, in contrast, are primarily associated with high-affinity NO 3 &#91;-&#93; uptake in


82 plants and green algae (Fernandez and Galvan, 2008; Xu et al., 2024), making them particularly


83 important when NO 3 &#91;-&#93; is scarce. In land plants and in the freshwater alga _Chlamydomonas reinhardtii_,


84 high-affinity NO 3 &#91;-&#93; uptake by NRT2 requires the accessory protein NITRATE ASSIMILATION

85 RELATED 2 (NAR2, also known as NRT3) (Zhou et al., 2000; Rexach et al., 2002). In contrast,


86 NAR2 homologs are absent from algae with secondary plastids (Rogato et al., 2015), suggesting that


87 NRT2-mediated NO 3 &#91;-&#93; transport operates differently in these lineages. However, NRT2 mutants have


3


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&#91;perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.&#93;(http://creativecommons.org/licenses/by-nc-nd/4.0/)


88 not yet been characterized in any secondary endosymbiont, so how NRT2 proteins work in these


89 organisms is still unclear.


90 _Nannochloropsis_ is a genus of marine microalgae with a secondary red plastid, widely studied for its


91 high lipid productivity and as a model for marine photosynthesis and N metabolism (Simionato et al.,


92 2013; Fattore et al., 2021). Hereafter, _Nannochloropsis_ refers to the genus in the broad sense,


93 including _Microchloropsis_ (formerly _N. gaditana_ and _N. salina_ ). In _Nannochloropsis_, N deprivation


94 induces extensive metabolic and structural changes, including reorganization of the photosynthetic


95 apparatus and the accumulation of storage lipids, highlighting the central role of N availability in


96 controlling cellular physiology (Simionato et al., 2013; Fattore et al., 2021). Genomic and


97 transcriptomic analyses have identified candidate genes for NO 3 &#91;-&#93; assimilation in _Nannochloropsis_,


98 including NRT2 transporters (Radakovits et al., 2012), but their function and subcellular localization


99 are unknown, so it is still unclear how NO 3 &#91;-&#93; enters the cell.


100 Here, we characterized the two NRT2 transporters of _N. oceanica_ and showed that NRT2.2 is located


101 at the plasma membrane and mediates NO 3 &#91;-&#93; uptake from the medium. Loss of NRT2.2 prevents cells


102 from resuming growth on NO 3 &#91;-&#93; after N starvation, establishing a direct link between NRT2-dependent


103 NO 3 &#91;-&#93; uptake and recovery from N limitation. Cells lacking NRT2.2 behave as if N-starved even


104 though NO 3 &#91;-&#93; is available: they lose chlorophyll and photosynthetic efficiency and store the fixed C as


105 lipids and carbohydrates.


106


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107 **MATERIALS AND METHODS**


108 **Identification of** _**Nannochloropsis oceanica**_ **NRT2 sequences**


109 _N. oceanica_ NRT2 sequences were identified by tBLASTn searches in NanDeSyn


110 (https://nandesyn.single-cell.cn/), using the six NRT2 proteins of _Phaeodactylum tricornutum_ as


111 queries against the _N. oceanica_ IMET1 genome (Wang et al., 2014); redundant hits were then


112 removed. The retrieved sequences were analyzed with TMHMM 2.0


113 (https://services.healthtech.dtu.dk/services/TMHMM-2.0/) to verify the presence of the 10-12


114 transmembrane helices (TMHs) typical of NRT2 transporters. Genomic and coding sequences were


115 confirmed by PCR amplification and sequencing (Table S1 and Data Set S1). The number of NRT2


116 genes was further verified by BLASTp against all gene models and tBLASTn against the genome


117 assembly of _N. oceanica_ CCMP1779 (JGI PhycoCosm, https://phycocosm.jgi.doe.gov/), which


118 retrieved only _NRT2.1_ and _NRT2.2_ .


119 To search for NAR2/NRT3 partner proteins, _Arabidopsis thaliana_ (AtNAR2.1 ID AT5G50200.1 and


120 AtNAR2.2 ID AT4G24730.1) and _Chlamydomonas reinhardtii_ (Cre09.g410900) proteins were used


121 as queries for BLASTp against all available _Nannochloropsis_ proteomes. NRT2.1 and NRT2.2,


122 retrieved at 100% identity, served as positive controls of the proteome search.


123 **Phylogenetic analysis of NRT2 proteins**


124 NRT2 homologs were retrieved by tBLASTn searches with default parameters and an E-value


125 threshold of 1 × 10 &#91;-5&#93;, using the NRT2 amino acid sequences of _N. oceanica_ and diatoms as queries,


126 against NCBI (https://blast.ncbi.nlm.nih.gov/), the JGI Genome Portal


127 (https://genome.jgi.doe.gov/portal/), Ensembl Protists (https://protists.ensembl.org/index.html) and


128 PLAZA Diatoms 1.0 (https://bioinformatics.psb.ugent.be/plaza/versions/plaza_diatoms_01/). To


129 cover all major eukaryotic lineages, this dataset was complemented with NRT2 sequences from


130 UniProt (prasinophytes, trebouxiophytes, Chlorophyceae, red algae, haptophytes and cryptophytes)


131 and from the JGI PhycoCosm genomes of _Microchloropsis gaditana_ CCMP1894 and _Vischeria_ sp.


132 C74, the closest relatives of _Nannochloropsis_ with sequenced genomes. The _Tribonema minus_


133 sequence A0A835YPG2 was excluded because of a probable annotation error (an internal tandem


134 duplication of about 30 residues). The final dataset included 94 NRT2 sequences (Supplementary


135 Data Set S2).


136 Sequences were aligned with MAFFT v.7 using the L-INS-i algorithm (Katoh and Standley, 2013),


137 and gap-rich, poorly aligned positions were removed with ClipKIT in gappy mode (gap threshold 0.4;


138 (Steenwyk et al., 2020), yielding 469 amino acid positions, 435 of which were parsimony

139 informative. A maximum likelihood (ML) tree was inferred with IQ-TREE v.2.0.7 (Minh et al., 2020)


5


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preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
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140 under the LG+F+R7 model, selected as the best-fitting model by ModelFinder according to the


141 Bayesian information criterion (Kalyaanamoorthy et al., 2017). Branch support was assessed with


142 1000 ultrafast bootstrap replicates (Hoang et al., 2018) and 1000 replicates of the SH-like


143 approximate likelihood ratio test (SH-aLRT; Guindon _et al._, 2010). The tree was rooted at the


144 midpoint. Alternative hypotheses on the origin of the two _N. oceanica_ NRT2s (a duplication specific


145 to _Nannochloropsis_ _versus_ a duplication before the divergence of _Nannochloropsis_ and


146 _Microchloropsis_ ) were compared with the approximately unbiased (AU) test (Shimodaira, 2002)


147 implemented in IQ-TREE.


148 **Structural prediction of** _**N. oceanica**_ **NRT2s**


149 As no experimental structure of an NRT2 transporter is available, structural models of _N. oceanica_


150 NRT2s were built with Phyre v.2.2 (Powell et al., 2025), using as template the crystal structure of the


151 major facilitator superfamily (MFS) glycerol-3-phosphate transporter GlpT of _Escherichia coli_


152 (SCOP domain: d1pw4a; PDB: 1PW4). Models were visualized with UCSF ChimeraX (Goddard et


153 al., 2018). To identify residues putatively involved in NO 3 &#91;−&#93; binding, the _N. oceanica_ NRT2s were


154 aligned with _Aspergillus nidulans_ NrtA (formerly CrnA), whose key residues have been characterized


155 by mutagenesis (Unkles et al., 2004), using the MUSCLE algorithm (Edgar, 2004) implemented in


156 MEGA v.11.0.11 (Tamura et al., 2021).


157 _**N. oceanica**_ **strain and culture**


158 An axenic culture of _Nannochloropsis oceanica_ strain IMET1 was obtained from the Provasoli

159 Guillard National Center for Marine Algae and Microbiota (www.bigelow.org). Cultures were


160 maintained in F/2 medium (Guillard, 1975), prepared with 0.22 μm-filtered and autoclaved seawater,


161 at 21 °C and 100 rpm, under continuous white fluorescent light (90 μmol photons m &#91;−2&#93; s &#91;−1&#93; ). Light


162 intensity was measured with a LI-250A light meter (LI-COR, Lincoln, NE, USA).


163 **Generation and screening of** _**N. oceanica**_ _**nrt2**_ **knock-out and NRT2.2-mVenus lines**


164 Guide RNAs (gRNAs) targeting _N. oceanica_ _NRT2.1_ and _NRT2.2_ for Cpf1 (Cas12a) genome editing


165 were designed with CRISPOR (http://crispor.tefor.net/crispor.py) on the _N. oceanica_ IMET1


166 reference genome. Three crRNAs were selected for each gene, targeting regions predicted to encode


167 TMHs to increase the likelihood of disrupting NRT2 function (the complete list of gRNAs is given


168 in Table S1). The gRNAs were purchased from IDT (https://eu.idtdna.com/pages) and co-transformed


169 with a linearized antibiotic resistance cassette, following the protocol of Perin _et al._ (2015). For


170 selection, the _Aph7_ gene from _Streptomyces hygroscopicus_ (kindly provided by Prof. Krishna K.


171 Niyogi (Vieler et al., 2012), conferring resistance to hygromycin B, was used under the control of the


6


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preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
&#91;perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.&#93;(http://creativecommons.org/licenses/by-nc-nd/4.0/)


172 endogenous LDSP_E (Lipid Droplet Surface Protein E) promoter and the 35S terminator (Berthold


173 et al., 2002; Vieler et al., 2012).


174 To generate NRT2.2-mVenus lines, _N. oceanica_ IMET1 was co-transformed by electroporation with


175 two cassettes: one for hygromycin resistance (Berthold et al., 2002; Vieler et al., 2012) required for


176 selection, and one for NRT2.2-mVenus expression. The NRT2.2-mVenus plasmid was generated by


177 Gibson Assembly (Gibson et al., 2009). In this plasmid, the NRT2.2 coding sequence was fused at


178 its 3’ end to mVenus, followed by a His-tag, under the control of the endogenous _LDSP_E_ promoter


179 (Berthold et al., 2002; Vieler et al., 2012). Cloning primers are listed in Table S1. Both cassettes were


180 excised from their plasmids and purified on a 0.8% (w/v) agarose gel. Transformation followed the


181 protocol of Perin _et al._ (2015). Resistant colonies were picked after 4-5 weeks and screened by PCR


182 with the primers listed in Table S1.


183 **Subcellular localization of NRT2.2**


184 Cells were imaged with a Zeiss LSM 700 confocal laser scanning microscope (Carl Zeiss, Jena,


185 Germany) equipped with a Plan-Apochromat 63x/1.40 Oil DIC M27 objective. mVenus was excited


186 at 488 nm and detected at 524-536 nm, and chlorophyll _a_ autofluorescence was excited at 640 nm


187 and detected at 655-667 nm. Laser power, detector gain and offset were identical for all acquisitions.


188 Single optical sections were acquired with ZEN Blue v.3.14 software (Carl Zeiss) at 1024 × 1024


189 pixels (0.099 µm pixel &#91;-1&#93; ; WT and line #11) or 512 × 512 pixels (0.198 µm pixel &#91;-1&#93; ; line #9).


190 Fluorescence distribution was quantified on the original 16-bit images with custom R scripts (image


191 quantification) and Python scripts (profile analysis and figure assembly). In each image, the median


192 background was subtracted from both channels and intensities were divided by the pixel dwell time


193 (counts µs &#91;-1&#93; ), so that images acquired with different settings could be compared. Bleed-through of


194 chlorophyll _a_ autofluorescence into the mVenus channel was estimated on WT cells, which do not


195 express mVenus, as a constant fraction of the chlorophyll signal (4.1%), and subtracted from the


196 mVenus channel of all images. In total, 32 cells from 15 independent fields were analyzed (WT, n =


197 10; NRT2.2-mVenus #9, n = 9; NRT2.2-mVenus #11, n = 13). In cells showing a peripheral mVenus


198 ring, the cell center and ring diameter were determined by fitting a circle to the ring. Intensity profiles


199 of mVenus and chlorophyll _a_ were extracted along 18 diameters through the cell center and averaged


200 for each cell. Peripheral enrichment was calculated as the ratio between the mean mVenus intensity


201 within ±0.3 µm of the ring radius and that within the inner half of the radius. Co-localization of


202 mVenus with chlorophyll _a_ was assessed with Pearson’s correlation coefficient calculated on the


203 bleed-through-corrected images.


7


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204 **Growth under different N sources and concentrations**


205 _N. oceanica_ wild-type (WT) and knock-out (KO) lines were maintained in autoclaved filtered F/2


206 medium (Guillard, 1975) enriched in NH 4 &#91;+&#93; (and 882 µM NH 4 Cl) in addition to the standard addition


207 of 882 µM NaNO 3 . After three days (mid-exponential phase), cells were transferred to N-free F/2


208 medium for 72 h to deplete residual N. After 72 h of N starvation, cells were diluted to 1 × 10 &#91;7&#93; cells


209 mL &#91;-1&#93; in F/2 medium supplemented with 882 μM NaNO 3, 250 μM NaNO 3 or 882 μM NH 4 Cl. The


210 experiment was performed first in 20 mL Erlenmeyer flasks and then in 80 mL tubes in a Multi

211 Cultivator MC 1000-OD (Photon Systems Instruments, Drásov, Czech Republic), under atmospheric


212 CO 2 and continuous white light (35 and 80 μmol photons m &#91;-2&#93; s &#91;-1&#93;, respectively). Each condition was


213 tested in at least three biological replicates.


214 Growth was monitored as optical density at 750 nm (OD 750 ) with a Spark multimode microplate


215 reader (Tecan, Männedorf, Switzerland) and confirmed by cell counting with an automated cell


216 counter (Cellometer Auto X4, Nexcelom Bioscience, Lawrence, MA, USA). In the Multi-Cultivator,


217 OD 680 was recorded automatically every hour.


218 To measure extracellular NO 3 &#91;−&#93; consumption, 1 mL of culture was filtered by vacuum filtration onto


219 glass microfiber Whatman GF/F filters with nominal pore size 0.7 µm (Sigma-Aldrich, St. Louis,


220 MO, USA), and the absorbance of the filtrate was measured at 220 nm with a Cary 60 UV-Vis


221 spectrophotometer (Agilent Technologies, Santa Clara, CA, USA). NO 3 &#91;−&#93; concentrations were


222 calculated from a standard curve (10 μM to 1 mM NO 3 &#91;−&#93; in N-free F/2 medium), according to


223 McCarthy _et al._ (2017).


224 Data are presented as mean ± SD of independent biological replicates. Differences between each KO


225 line and the WT were tested with an unpaired two-tailed Student’s t-test (for growth and NO 3 &#91;−&#93; uptake,


226 at day 4). Statistical analyses were performed with Python (SciPy).


227 **Pigments and protein extraction and quantification**


228 Chlorophylls _a_ (Chl _a_ ) and total carotenoids (Car) were extracted in the dark from culture samples


229 with 100% N,N-dimethylformamide (DMF) (Sigma-Aldrich, St. Louis, MO, USA), following Liistro


230 _et al._ (2026). Pigments in the extracts were quantified with an Agilent Cary 60 spectrophotometer


231 (Agilent Technologies, Santa Clara, CA, US) using specific extinction coefficients (Moran, 1982).


232 Absorbance at 750 nm was subtracted from all readings to correct for light scattering, and pigment


233 content was expressed per cell using the cell concentration of each culture.


234 A total of 2 × 10 &#91;8&#93; cells were harvested from each culture, washed twice, and resuspended in 180 µL


235 B1 buffer (20 mM Tris-KOH, pH 7.8, 400 mM NaCl, 2 mM MgCl 2, 3 mM benzamidine, 1 mM


236 PMSF). Cells were disrupted with acid-washed 150-212 µm glass beads (Sigma-Aldrich, St. Louis,


8


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237 MO, USA) using a Bullet Blender Storm Pro (Next Advance, Inc., Troy, NY, USA) for four cycles


238 of 30 sec at 3500 rpm, with 3 min on ice between cycles. Subsequently, 80 µL of 3X sample buffer


239 (45 mM Tris-HCl, pH 6.8, 30 mM DTT, 3% SDS, 10% glycerol) were added, followed by an


240 additional 30 sec disruption step.


241 After extraction, proteins were precipitated with 4 volumes of cold 100% acetone for 1 h at -20 °C.


242 Samples were centrifuged for 10 min at 15000 g at 4°C. The pellet was dried and then resuspended


243 in 80 µl of B1 buffer (without protease inhibitors). Protein quantification was performed using a


244 Bradford assay. For each sample, 33 µl were added to 1 ml of Bradford Reagent (Sigma-Aldrich, St.


245 Louis, MO, USA) and incubated for 10 min at room temperature in the dark. Absorbance was


246 measured at 595 nm. Protein concentrations were calculated from a bovine serum albumin (BSA)


247 standard curve and expressed per cell, based on the 2 × 10 &#91;8&#93; cells extracted per sample.


248 **Determination of photosynthetic efficiency**


249 Chlorophyll fluorescence was measured _in vivo_ with a Dual-PAM-100 fluorometer (Heinz Walz,


250 Effeltrich, Germany). After 25 min of dark adaptation, the maximum quantum yield of Photosystem


251 II (PSII) was calculated as F v /F m = (F m −F 0 )/F m (Maxwell and Johnson, 2000), where F 0 is the


252 minimum fluorescence of dark-adapted cells and F m the maximum fluorescence measured during a


253 saturating light pulse (~7000 μmol photons m &#91;−2&#93; s &#91;−1&#93;, 600 ms).


254 **Quantification of intracellular neutral lipids**


255 Intracellular neutral lipids were quantified by Nile Red staining (Sigma-Aldrich, St. Louis, MO,


256 USA). 1 × 10 &#91;7&#93; cells were collected, resuspended in 200 µL of F/2 medium and then stained with 0.625


257 µg mL &#91;−1&#93; Nile Red (DMSO stock solution) for 15 min at 37 °C in the dark with shaking (100 rpm).


258 Fluorescence was measured with the Tecan microplate reader described above (excitation 485 nm,


259 emission 580 nm) and corrected for background fluorescence using unstained samples and water


260 blanks.


261 **Elemental C and N composition**


262 For C and N quantification, cell pellets were washed three times with an isosmotic ammonium


263 formate solution (0.5 M) and freeze-dried. Capsules containing 0.8-1.2 mg of dried sample were


264 analyzed with a CHN elemental analyzer (ECS 4010, Costech, Italy) coupled to an ID Micro EA


265 isotope ratio mass spectrometer (Compact Science Systems, Newcastle-under-Lyme, UK) to


266 determine C and N content as a percentage of sample dry weight. Urea was used as the analytical


267 standard.


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268 In the _nrt2.2_ KO lines grown with NO 3 &#91;−&#93;, N was below the detection limit of 4% N/DW in all but one


269 replicate; as the single measurable value was itself above the detection limit, these samples were


270 reported as having %N below this threshold (Fig. 3C). Because N could not be detected, the


271 instrument software did not calculate %C for these samples. %C was therefore calculated from the C


272 peak areas as follows, after verifying that this calculation reproduced the values automatically


273 reported for the samples in which %C had been provided:


274 C sample = C urea × (A sample / A urea ) / (A ref,sample / A ref,urea )


275 %C sample = C sample × 100 / DW


276 **Fourier-transform infrared (FTIR) spectroscopy**


277 About 1 mg of dried cells, previously washed three times with the isosmotic ammonium formate


278 solution, was weighed and resuspended in 110 μL of grade 1 water; 50 μL of the suspension were


279 placed on a silicon disk and dried at 80 °C. FTIR spectra of whole cells were acquired in a range from


280 400 to 4000 cm &#91;−1&#93;, sampling every 1.93 cm &#91;−1&#93; with a Tensor 27 FTIR spectrometer (Bruker Optics


281 GmbH, Ettlingen, Germany). FTIR bands were assigned to cellular pools of proteins, carbohydrates,


282 and lipids as described in Giordano _et al._ (2001). The band at about 1656 cm &#91;-1&#93; was assigned to protein,


283 the one at about 1740 cm &#91;-1&#93; to lipids and the ones in the range 1160-1030 cm &#91;-1&#93; to carbohydrates. Band


284 integrals of the deconvolved spectra were obtained using the OPUS v.6.5 software (Bruker Optics


285 GmbH, Ettlingen, Germany) and used to calculate the relative abundances of proteins, carbohydrates


286 and lipids. For each strain and condition, three biological replicates were analyzed in technical


287 duplicates, and technical duplicates were averaged before statistical analysis.


288


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289 **RESULTS**


290 **1.** **Identification, evolution and structure of** _**N. oceanica**_ **NRT2 transporters**


291 tBLASTn searches against the _N._ _oceanica_ IMET1 genome (Wang et al., 2014) identified two NRT2


292 sequences, NO30G01230 and NO14G02450, hereafter referred to as NRT2.1 and NRT2.2


293 respectively (Data Set S1). Both gene models were supported by available transcriptomic data and


294 confirmed by PCR.


295 To place the _N. oceanica_ NRT2 proteins in an evolutionary context, we reconstructed a maximum

296 likelihood phylogeny of 94 NRT2 proteins from stramenopiles, the green lineage, red algae,


297 haptophytes, cryptophytes and fungi (Fig. 1A; Supplementary Data Set S2). The tree resolved two


298 strongly supported groups: one comprised sequences from land plants and green algae together with


299 those of haptophytes, red algae and cryptophytes, whereas the other included stramenopiles and fungi


300 (Fig. 1A). In the tree, NRT2.2 groups with the single NRT2 of _Microchloropsis_, whereas NRT2.1


301 branches outside this pair (Fig. 1A). Together with an AU test rejecting a duplication within


302 _Nannochloropsis_ (p = 0.002), this suggests that the two _N. oceanica_ NRT2s arose from a duplication


303 that occurred before the divergence of _Nannochloropsis_ and _Microchloropsis_, followed by the loss


304 of NRT2.1 in _Microchloropsis_ .


305 We generated structural models of _N. oceanica_ NRT2.1 and NRT2.2 using Phyre2.2 (template:


306 bacterial MFS transporter d1pw4a, PDB: 1PW4). Both models predicted 12 transmembrane helices


307 (TMHs), with the N- and C-termini in the cytoplasm (Fig. 1B). Since the two models were highly


308 similar, NRT2.2 is shown as representative (Fig. 1B), and the corresponding NRT2.1 residues are


309 reported in Fig. S1. Mutagenesis studies of _Aspergillus nidulans_ NrtA (previously CrnA) (Unkles et


310 al., 2004) identified key residues required for NO 3 &#91;-&#93; binding. Two positively charged arginine residues,


311 R86 in TMH2 and R302 in TMH8, are conserved in NRT2.2 and correspond to residues required for


312 NO 3 &#91;-&#93; binding in NrtA (Fig. 1B; Fig. S1 for NRT2.1). Three further conserved residues were identified


313 in the same putative binding site: N167 in TMH4, which may contribute to substrate stabilization;


314 E265, whose negative charge may balance the positive charges of R86 and R302 through a salt bridge;


315 and N390, likely involved in positioning NO 3 &#91;-&#93; or maintaining the conformation of the translocation


316 pathway (Fig. 1B) (Unkles et al., 2004). All five residues are also conserved in NRT2.1 (Fig. S1).


317 The conservation of the complete binding-site architecture in both paralogs indicates that both


318 proteins could, in principle, transport NO 3 &#91;-&#93; .


319


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320


321 **Figure 1. Phylogeny and predicted structure of** _**Nannochloropsis**_ _**oceanica**_ **NRT2s.** A) Maximum322 likelihood phylogeny of 94 NRT2 proteins from 50 photosynthetic and non-photosynthetic
323 eukaryotes. Filled and open circles indicate nodes with ultrafast bootstrap (UFBoot) support ≥ 95%
324 and 70-94%, respectively; SH-aLRT/UFBoot values are shown for the eustigmatophyte clade and for
325 the NoNRT2.2- _Microchloropsis_ clade. Colors indicate taxonomic groups; _N. oceanica_ NRT2.1 and
326 NRT2.2 are in orange. Sequences and accession numbers are listed in Supplementary Data Set S1.
327 B) Predicted structural model of _N. oceanica_ NRT2.2 with 12 transmembrane helices and, in the
328 zoomed view, the putative NO 3 &#91;-&#93; binding site: R86 and R302 (green), E265 (magenta), and N167 and
329 N390 (blue).
330


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331 **2.** **Loss of NRT2.2 abolishes NO** **3** **&#91;-&#93;** **uptake in** _**N. oceanica**_


332 To dissect the functional role of the two NRT2 transporters, we generated _N. oceanica_ _nrt2.1_ and


333 _nrt2.2_ knock-out (KO) mutants using a CRISPR-Cpf1 genome editing approach, targeting each gene


334 with three different gRNAs (Fig. S2). Amplification and sequencing of the target loci confirmed the


335 mutations (Fig. S2). In the _nrt2.1_ KO lines #1 and #2, the hygromycin resistance cassette was


336 integrated at the target locus. _nrt2.2_ KO line #1 carries the cassette in the antisense orientation relative


337 to NRT2.2, whereas line #2 carries the cassette in the sense orientation (Fig. S2). RT-PCR analysis


338 confirmed the absence of detectable _NRT2.1_ or _NRT2.2_ transcripts in two independent KO lines per


339 gene (Fig. 2A), which were selected for phenotypic characterization.


340 The KO lines were isolated and maintained in medium containing both NO 3 &#91;-&#93; and NH 4 &#91;+&#93;, in which


341 _nrt2.1_ and _nrt2.2_ KO strains grew similarly to the wild type (WT) (data not shown), as NH 4 &#91;+&#93; can


342 sustain growth independently of NO 3 &#91;-&#93; transport. To test NO 3 &#91;-&#93; utilization specifically, cells were


343 starved of N for 3 days to deplete intracellular N reserves and then resupplied with either NO 3 &#91;-&#93; or


344 NH 4 &#91;+&#93; as the sole N source (Fig. 2B). Upon resupply of 882 µM NO 3 &#91;-&#93;, extracellular NO 3 &#91;-&#93; progressively


345 decreased in WT and _nrt2.1_ KO cultures, to &lt;100 µM after 4 days, whereas it remained unchanged


346 in both _nrt2.2_ KO lines, demonstrating a complete loss of NO 3 &#91;-&#93; uptake (Fig. 2C). In WT cultures


347 ~20% of the NO 3 &#91;-&#93; was already taken up after 1 day, before any increase in cell number (Fig. 2C,D),


348 indicating that the lack of NO 3 &#91;-&#93; uptake in _nrt2.2_ KO lines is not a consequence of impaired growth.


349 Accordingly, WT and _nrt2.1_ KO cultures resumed growth, tripling cell density within 4 days, whereas


350 both _nrt2.2_ KO lines showed no increase in cell number (Fig. 2D). The same phenotype was observed


351 at a lower NO 3 &#91;-&#93; concentration (250 µM): _nrt2.2_ KO lines neither took up NO 3 &#91;-&#93; nor grew, whereas WT


352 and _nrt2.1_ KO cells reduced extracellular NO 3 &#91;-&#93; by ~70% within 4 days (Fig. S3A,B).


353 In contrast, when NH 4 &#91;+&#93; was resupplied as the sole N source, _nrt2.2_ KO strains recovered similarly to


354 WT and _nrt2.1_ KO (Fig. 2E,F), indicating that their growth defect is specific to NO 3 &#91;-&#93; and is not a


355 general effect of the mutations. These findings identify NRT2.2 as an essential component of the


356 NO 3 &#91;-&#93; uptake machinery in _N. oceanica_, required for NO 3 &#91;-&#93; acquisition and NO 3 &#91;-&#93; -dependent growth.


13


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357


358 **Figure 2. Impaired growth and nitrate uptake in** _**Nannochloropsis oceanica**_ _**nrt2.2**_ **KO mutants.**
359 A) RT-PCR of NRT2.1 and NRT2.2 transcripts in the wild type (WT) and in two _nrt2.1_ and two
360 _nrt2.2_ knock-out (KO) lines (#1, #2); ACT (actin), reference transcript. Primers are listed in Table
361 S1. B) Experimental setup. Cells were grown under atmospheric CO 2 (400 ppm) and continuous white
362 light (35 µmol photons m &#91;-2&#93; s &#91;-1&#93; ) in 882 µM nitrate (NO 3 &#91;-&#93; ) and 882 µM ammonium (NH 4 &#91;+&#93; ) until
363 exponential phase, starved of N for 3 days and then resupplied with NO 3 &#91;-&#93; or NH 4 &#91;+&#93; . C) Residual NO 3 &#91;-&#93;
364 in the medium and D) cell concentration during 4 days in 882 µM NO 3 &#91;-&#93; . E) Cell concentration in 882
365 µM NH 4 &#91;+&#93; (control). F) Cultures after 4 days of NO 3 &#91;-&#93; or NH 4 &#91;+&#93; repletion. Data are mean ± SD of at
366 least three biological replicates. Asterisks: unpaired two-tailed Student's t-test vs WT at day 4; * p &lt;
367 0.05, ** p &lt; 0.01, *** p &lt; 0.001.
368


369 **3.** **Intracellular C and N partitioning following loss of NRT2.2**


370 To understand the consequences of the loss of NO 3 &#91;-&#93; uptake on cell physiology, we characterized the


371 C and N composition, storage metabolism and photosynthetic performance of WT, _nrt2.1_ KO and


372 _nrt2.2_ KO strains. To obtain enough biomass, cells were grown in a Multi-Cultivator photobioreactor


14


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373 under the same starvation-repletion regime and sampled at the end of the 3-day N depletion (hereafter


374 -N) and after 4 days of repletion with NH 4 &#91;+&#93; or NO 3 &#91;-&#93; (hereafter +NH 4 &#91;+&#93; and +NO 3 &#91;-&#93; ), the same time point


375 used in flasks, when WT cultures had consumed most of the NO 3 &#91;-&#93; (Fig. 2C). As in flasks, _nrt2.2_ KO


376 lines neither grew (Figs. 3A and S3C,D) nor consumed NO 3 &#91;-&#93; (Fig. S4) in +NO 3 &#91;-&#93;, whereas all strains


377 behaved like WT in -N and +NH 4 &#91;+&#93; (Fig. S4). Since _nrt2.2_ KO cells cannot use NO 3 &#91;-&#93;, at the end of the


378 +NO 3 &#91;-&#93; treatment they had been without an available N source for 7 days (3 days of depletion followed


379 by 4 days of repletion), compared with 3 days for -N samples.


380 The lack of NO 3 &#91;-&#93; uptake caused a strong intracellular N deficiency. In +NO 3 &#91;-&#93;, _nrt2.2_ KO cells showed


381 a slight increase in total carbon (C) content relative to WT and _nrt2.1_ KO (Fig. 3B) and a strong


382 reduction in N content, with five of six samples falling below the detection limit of the assay (Fig.


383 3C), yielding a sharply elevated C/N ratio (Fig. S5). Since most cellular N is allocated to proteins, we


384 then quantified total protein content, which was unaffected across genotypes and conditions (Figs.


385 3D and S6). _nrt2.2_ KO cells therefore maintained their protein content per cell while accumulating


386 C. Since N is expressed per dry weight, its decrease largely reflects dilution by C-rich compounds. In


387 parallel, maximum PSII efficiency (F v /F m ) was strongly reduced in _nrt2.2_ KO cells in +NO 3 &#91;-&#93; (0.43

388 0.49 _vs_ 0.65 in WT; Fig. 3E), well below the values of all strains in -N (~0.61) and +NH 4 &#91;+&#93; (Fig. S6),


389 without an available N source (7 vs 3 days). Chlorophyll, a major N sink of the photosynthetic


390 apparatus, was reduced by up to ~50% in _nrt2.2_ KO cells, to levels similar to −N (Figs. 3F and S7),


391 and the overall pigment composition shifted (Fig. 3G). The decrease in F v /F m in _nrt2.2_ KO cells was


392 thus accompanied by a loss of chlorophyll, while total protein per cell was maintained.


15


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393


394 **Figure 3. Altered intracellular N content and photosynthetic performance in** _**Nannochloropsis**_
395 _**oceanica**_ _**nrt2.2**_ **knock-out mutants.** Wild-type (WT), two _nrt2.1_ and two _nrt2.2_ knock-out (KO)
396 lines were grown in the Multi-Cultivator system under atmospheric CO 2 (400 ppm) and continuous
397 white light (80 µmol photons m &#91;-2&#93; s &#91;-1&#93; ) and analyzed after 4 days of repletion with 882 µM nitrate (NO 3 &#91;-&#93;
398 ); growth curves are shown in Figure S3 and the control conditions, nitrogen (N) deprivation and
399 NH 4 &#91;+&#93; repletion, in Figures S4-S7. A) Biomass production. B) Carbon (C) and C) N content, as
400 percentage of dry weight. The detection limit for N is 4% of dry weight (grey area): N was not
401 detected (n.d.) in five of six _nrt2.2_ KO samples, and the only measurable sample ( _nrt2.2_ KO #2) is
402 shown. D) Total protein content. E) Maximum photosynthetic efficiency, expressed as F v /F m, and F)
403 chlorophyll content. G) Relative pigment composition (% chlorophyll and total carotenoids). Data
404 are mean ± SD of at least three biological replicates. Asterisks: unpaired two-tailed Student’s t-test
405 vs WT; * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001.
406


407 We next asked where the excess C was stored. To answer this, whole cells were analyzed by Fourier


408 transform infrared (FTIR) spectroscopy, which measures the absorption of the main functional groups


409 of cellular macromolecules: the amide I band of proteins (~1650 cm &#91;-1&#93; ), the ester C=O band of lipids


410 (~1740 cm &#91;-1&#93; ) and the C-O-C bands of carbohydrates (950-1200 cm &#91;-1&#93; ) (Fig. 4A-C). Because total


411 protein content was stable across strains and conditions (Figs. 3D and S6), spectra were normalized


412 to the amide I band, and lipid/protein and carbohydrate/protein ratios were quantified by fitting the


413 spectra with Lorentzian bands (Fig. 4D,E). After 3 days of N depletion, all strains accumulated lipids,


414 with a lipid/protein ratio about twice that in +NH 4 &#91;+&#93;, while the carbohydrate/protein ratio did not


415 increase (Fig. 4A,B,D,E). In both conditions, the ratios of _nrt2.2_ KO lines were similar to WT; the


416 only differences, in single _nrt2.1_ KO lines, were not confirmed in the second line (Fig. 4D,E). In


16


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417 +NO 3 &#91;-&#93;, by contrast, _nrt2.2_ KO spectra diverged from all other strains, with a clear increase in both


418 bands (Fig. 4C). The lipid/protein ratio of _nrt2.2_ KO lines was ~3.7-fold higher than in WT (Fig. 4D),


419 and the carbohydrate/protein ratio ~1.4-fold higher (Fig. 4E).


420 Neutral lipids were also measured independently by Nile Red staining, a fluorescent dye that binds


421 neutral lipids such as triacylglycerols in intact cells. In all strains, Nile Red fluorescence was ~2.5

422 fold higher after N depletion than in +NH 4 &#91;+&#93; (Fig. 4F). In +NO 3 &#91;-&#93;, _nrt2.2_ KO lines showed ~3-fold


423 higher fluorescence than WT, reaching or slightly exceeding N-depleted levels (Fig. 4F). C fixation


424 therefore continues in _nrt2.2_ KO cells, but in the absence of NO 3 &#91;-&#93; uptake fixed C cannot be


425 incorporated into N-containing compounds and is redirected into lipid and carbohydrate storage: an


426 N-starvation signature, although NO 3 &#91;-&#93; is available in the medium.


427


428 **Figure 4. Increased lipid and carbohydrate content in** _**Nannochloropsis oceanica**_ _**nrt2.2**_ **knock-**
429 **out mutants.** Fourier Transform Infrared (FTIR) spectra of _N. oceanica_ wild-type (WT), two _nrt2.1_
430 and two _nrt2.2_ knock-out (KO) lines grown in the Multi-Cultivator system, under atmospheric CO 2
431 (400 ppm) and continuous white light (80 µmol photons m &#91;-2&#93; s &#91;-1&#93; ) A) after 3 days of nitrogen (N)
432 depletion, B) after 4 days of repletion with 882 µM ammonium (NH 4 &#91;+&#93; ), and C) after 4 days of
433 repletion with 882 µM nitrate (NO 3 &#91;-&#93; ). Spectra are normalized to the protein amide I peak at ~1650
434 cm-1; total protein did not differ between strains (Fig. S6). Shaded areas mark the spectral regions of
435 the fitted bands used for quantification: lipid ester C=O (1770-1710 cm &#91;-1&#93; ) and carbohydrate C-O-C
436 (1200-950 cm &#91;-1&#93; ); colored asterisks refer to the band ratios in D and E. D) Lipid (ester C=O) and E)
437 carbohydrate (C-O-C) band areas relative to the protein amide I band (~1656 cm &#91;-1&#93; ), obtained by fitting


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438 the spectra with Lorentzian bands (lipids: ester C=O band at ~1740 cm &#91;-1&#93; ; carbohydrates: sum of the
439 bands between ~1030 and ~1160 cm &#91;-1&#93; ). F) Neutral lipids, measured as Nile Red fluorescence, in the
440 same conditions. Data are mean ± SD of at least three biological replicates (FTIR technical duplicates
441 were averaged). Asterisks: unpaired two-tailed Student’s t-test vs WT; * p &lt; 0.05, ** p &lt; 0.01, *** p
442 &lt; 0.001.

443


444 **4.** **Subcellular localization of NRT2.2 on the plasma membrane**


445 Since loss of NRT2.2 caused the strongest phenotype under NO 3 &#91;-&#93; supply, we focused on this


446 transporter and determined its subcellular localization. We generated stable lines expressing NRT2.2


447 fused at its C-terminus to mVenus (NRT2.2-mVenus) (Fig. 5A). After transformation, independent


448 lines were screened by PCR for integration of the construct (Fig. 5B), and two positive lines (#9 and


449 #11) were selected for confocal microscopy.


450 In both lines, mVenus formed a ring at the cell periphery, flanking the chlorophyll signal (Fig. 5C,D).


451 mVenus fluorescence at the cell edge was 3.9 ± 1.2-fold (line #9, n = 4 cells) and 4.3 ± 0.9-fold (line


452 #11, n = 5 cells) higher than in the cell interior, and the diameter of the fluorescent ring (3.1 ± 0.4 and


453 3.4 ± 0.5 µm, respectively) was consistent with the size of _N. oceanica_ cells. In addition, the


454 correlation between mVenus and chlorophyll signals within each cell was close to zero or slightly


455 negative (mean Pearson’s r = −0.13 in both lines; Fig. 5E), indicating that the fusion protein is


456 excluded from the chloroplast. Together, these data localize NRT2.2 to the plasma membrane, at the


457 interface between the cell and the external medium, consistent with its role in NO 3 &#91;-&#93; uptake from


458 seawater in _N. oceanica_ .


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459


460 **Figure 5. Subcellular localization of** _**Nannochloropsis oceanica**_ **NRT2.2 to the plasma**
461 **membrane.** A) Expression construct: NRT2.2 coding sequence fused at its 3’ end to the yellow
462 fluorescent protein mVenus, co-transformed with a hygromycin resistance cassette. B) Genomic PCR
463 confirming the integration of the construct (1834 bp amplicon, primers for/rev in A) in lines #9 and
464 #11; WT, wild-type parental strain; C+, transformation plasmid. C) Confocal images of WT and
465 NRT2.2-mVenus cells: bright field (BF), chlorophyll _a_ autofluorescence (magenta), mVenus (green)
466 and merge. mVenus is corrected for chlorophyll bleed-through and shown with the same intensity
467 range in all lines. Scale bars = 5 μm. D) Mean intensity profiles (± SD) of mVenus (green) and
468 chlorophyll _a_ (magenta, normalized to the maximum of each profile) across the cell (18 diameters
469 per cell; position normalized to the ring radius, ring at ±1; WT scaled by the mean ring radius, 1.63
470 µm), in WT cells (n = 10) and in NRT2.2-mVenus cells with a peripheral ring (#9: n = 4; #11: n = 5);
471 mVenus is on a separate scale for each line. E) Pearson’s correlation between mVenus and
472 chlorophyll _a_ signals after bleed-through correction in the NRT2.2-mVenus lines #9 and #11; each
473 dot is one cell, bars are means.
474


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475 **DISCUSSION**


476 N availability in marine environments fluctuates in time and space, and N is often the primary limiting


477 nutrient for marine primary production (Gruber, 2008; Sanz-Luque et al., 2015). Here we identified


478 NRT2.2 as the plasma membrane transporter that mediates NO 3 &#91;-&#93; uptake in _N. oceanica_ . NRT2.2 is


479 required for NO 3 &#91;-&#93; -dependent growth, and its loss disrupts the balance between C and N metabolism,


480 driving cells into a physiological state that resembles prolonged N starvation, even though NO 3 &#91;-&#93; is


481 available.


482 **NRT2.2 is the main gateway for nitrate acquisition in** _**N. oceanica**_


483 _N. oceanica_ possesses only two _NRT2_ genes, _NRT2.1_ and _NRT2.2_, whereas the closely related


484 _Microchloropsis_ species carry a single one (Radakovits et al., 2012), although annotation


485 inconsistencies in these genomes call for caution when estimating gene number (Fig. 1A). The single


486 NRT2 retained in _Microchloropsis_ is the ortholog of NRT2.2 (Fig. 1A), suggesting that the


487 duplication occurred before the split between the two genera and was followed by the loss of NRT2.1


488 in _Microchloropsis_ . This is consistent with NRT2.2 representing the core NO 3 &#91;-&#93; transporter of the


489 lineage, and NRT2.1 an accessory paralog. However, NRT2 sequences cluster mainly by taxonomic


490 lineage (Rogato et al., 2015; Busseni et al., 2019), so phylogenetic position alone cannot predict the


491 function of each paralog. This compact organization contrasts with that of land plants and green algae,


492 in which NO 3 &#91;-&#93; uptake relies on multiple, partially redundant NRT2 members with distinct regulatory


493 profiles, such as AtNRT2.1 and AtNRT2.2, the major components of the high-affinity NO 3 &#91;-&#93; transport


494 system in _Arabidopsis thaliana_ (Filleur et al., 2001; Li et al., 2007; Kotur et al., 2012), and the


495 multiple, differentially regulated NRT2 homologs of _Chlamydomonas reinhardtii_ (Fernandez and


496 Galvan, 2008).


497 In land plants and _C. reinhardtii_, high-affinity NO 3 &#91;-&#93; uptake by NRT2 requires the partner protein


498 NAR2 (Zhou et al., 2000; Rexach et al., 2002), which is absent from _N. oceanica_ and from other


499 algae with secondary plastids (Rogato et al., 2015). The complete loss of NO 3 &#91;-&#93; uptake in the _nrt2.2_


500 KO lines (Fig. 2C) shows that NRT2.2 is functional _in vivo_ without NAR2, either alone, like the


501 fungal transporter NrtA, or with a partner protein not yet identified. However, whether NRT2.2


502 operates as a high-affinity transporter remains to be tested: the uptake assays used here were


503 performed at 250-882 µM NO 3 &#91;-&#93;, well above typical seawater concentrations, and kinetic


504 measurements at low micromolar NO 3 &#91;-&#93; will be needed to determine its affinity. Beyond copy number,


505 NRT2 proteins are conserved across eukaryotic lineages, and this conservation extends to the


506 structural level. Although no eukaryotic NRT2 structure has been experimentally resolved, the


507 predicted models of _N. oceanica_ NRT2 showed the typical 12-TMH architecture and the conservation


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508 of charged and polar residues, suggesting that the molecular determinants required for NO 3 &#91;-&#93;


509 recognition and membrane transport remain highly conserved (Fig. 1B).


510 The knock-out mutants showed that one of the two copies has the main role: loss of NRT2.2


511 completely abolished NO 3 &#91;-&#93; uptake (Fig. 2C) and growth on NO 3 &#91;-&#93; (Fig. 2D), whereas growth on NH 4 &#91;+&#93;


512 was comparable to the WT (Fig. 2E). The defect is therefore specific to NO 3 &#91;-&#93; acquisition and identifies


513 NRT2.2 as the major gateway for extracellular NO 3 &#91;-&#93; in this species. The absence of compensation by


514 NRT2.1 indicates that, unlike in plants and green algae, NO 3 &#91;-&#93; acquisition in _N. oceanica_ relies on a


515 single dominant transporter rather than on partially redundant family members. This specialization


516 may reflect the ecological conditions of marine microalgae: unlike land plants, which face NO 3 &#91;-&#93;


517 gradients largely determined by soil properties and root architecture (Kabala et al., 2017), marine


518 phytoplankton experience rapidly changing nutrient conditions, where NO 3 &#91;-&#93; can shift from complete


519 depletion in stratified, nutrient-poor waters to sudden enrichment after upwelling or mixing (Gruber,


520 2008; Sanz-Luque et al., 2015). In this setting, because NRT2.2 controls NO 3 &#91;-&#93; entry, its capacity may


521 determine how quickly _N. oceanica_ resumes growth when NO 3 &#91;-&#93; becomes available again.


522 No clear phenotype was found in the _nrt2.1_ KO lines, and three explanations are possible. First,


523 NRT2.2 may fully compensate for the loss of NRT2.1 (but not vice versa), as documented for NRT2


524 paralogs in vascular plants (Xu et al., 2024; Berman et al., 2026). Second, the two transporters may


525 differ in affinity or kinetic properties (Liu et al., 1999). The NO 3 &#91;-&#93; concentrations tested here (250-882


526 µM, much higher than in seawater), set by the resolution of the assay, may not have captured the


527 activity range of NRT2.1. Third, the expression of _N. oceanica_ NO 3 &#91;-&#93; transporters responds to


528 environmental conditions, including timing of N starvation (Li et al., 2014), light and C supply (Wei


529 et al., 2019), so NRT2.1 may become relevant only under conditions not examined here.


530 Finally, the plasma membrane localization of NRT2.2 (Fig. 5) places it at the interface between the


531 cell and its environment, consistent with its role in the uptake of extracellular NO 3 &#91;-&#93; .


532 **Loss of NRT2.2 disrupts the C/N balance and triggers a starvation-like metabolic state**


533 The consequences of impaired NO 3 &#91;-&#93; uptake extended beyond growth inhibition and highlighted a


534 central role of NRT2.2 in maintaining cellular metabolic homeostasis. Disrupting the main NO 3 &#91;-&#93; entry


535 point produces an internal N deficit in cells that remain surrounded by NO 3 &#91;-&#93;, and the resulting


536 phenotype can be read as the metabolic signature of N starvation, imposed here genetically rather


537 than environmentally.


538 The most direct consequence of NRT2.2 disruption was the decrease of chlorophyll content and


539 photosynthetic performance (Figs. 3F,G and 6), indicating that N limitation primarily affected the


540 abundance and functional capacity of the photosynthetic apparatus. Chlorophyll is an N-rich


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541 molecule, and the light-harvesting complexes bind it in large amounts. Reducing pigment content


542 could therefore represent a direct way to lower N demand without dismantling the protein scaffold of


543 the photosystems (Wang et al., 2024). This is consistent with N deprivation triggering chloroplast


544 remodeling, degradation of photosynthetic pigments and reduction of photosystem activity in


545 microalgae (Bender et al., 2014; Fattore et al., 2021). In N-starved WT _Nannochloropsis_, this


546 remodeling is an acclimation response: photosynthesis remains operational and supplies energy and


547 reducing power for cell maintenance and lipid synthesis (Simionato et al., 2013; Wang et al., 2024).


548 The _nrt2.2_ KO lines instead face a permanent block of NO 3 &#91;-&#93; uptake, and their phenotype reflects a


549 chronic N deficiency that parallels, but does not necessarily reproduce, the response of WT cells to


550 N starvation.


551 In _N. oceanica_, long-term N deprivation drives a global down-regulation of protein expression, with


552 the induction of N-scavenging enzymes, proteases and proteasome components to recycle N from


553 existing cellular components, and autophagy of plastids (Dong et al., 2013; Simionato et al., 2013).


554 In the _nrt2.2_ KO, by contrast, total protein content remained stable (Figs. 3D and 6): these lines


555 reproduce chlorosis and reduced photosynthetic performance, but not the proteome-wide N recycling


556 of N-starved cells, which in WT cells appears only after longer starvation. The sharp decrease in N


557 content despite stable protein levels reflects the different normalization of the two measurements: N


558 is expressed per dry weight and protein per cell, so the accumulation of C-rich lipids and


559 carbohydrates (Fig. 4) increases cell dry weight and dilutes N, while non-protein N pools such as


560 chlorophyll also decrease (Fig. 3F). Two non-exclusive interpretations can be proposed. First, N


561 allocation may follow a hierarchy in which pigments are sacrificed before the protein pool, preserving


562 the core cellular machinery. Second, the absence of bulk protein remobilization may indicate that


563 _nrt2.2_ KO cells do not fully engage the canonical N-recycling program of N-starved cells (Dong et


564 al., 2013; Wang et al., 2024), so that the chronic deficit is not buffered by protein degradation. This


565 makes the _nrt2.2_ KO a useful tool to dissect which components of the starvation response depend on


566 the perception of external N and which on the internal N deficit.


567 Another metabolic consequence of NRT2.2 loss was the accumulation of C-rich storage compounds,


568 including neutral lipids and carbohydrates (Figs. 4 and 6). This matches the classical response to N


569 deficiency and reflects the metabolic coupling between C and N. The reduction of NO 3 &#91;-&#93; to NH 4 &#91;+&#93; and


570 its subsequent incorporation into amino acids through the GS-GOGAT cycle consume C skeletons


571 (2-oxoglutarate), ATP and reducing power from photosynthesis. In the _nrt2.2_ KO, NO 3 &#91;-&#93; cannot enter


572 the cell and none of these demands arises, while light-driven C fixation continues, albeit probably at


573 a reduced capacity (Figs. 3C and 6) (Santin et al., 2026). The fixed C and reducing power that would


574 normally feed amino acid synthesis are therefore redirected (McCarthy et al., 2017; Smith et al., 2019)


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575 toward storage compounds (Simionato et al., 2013; Fattore et al., 2021). This response is shared by


576 the _nrt2.2_ KO and by N-starved WT cells even though the two states differ in their pigment and


577 protein responses, suggesting that C storage is a robust consequence of N deficiency irrespective of


578 how the deficiency is imposed. Triacylglycerols (TAG) allow cells to store excess C in an osmotically


579 neutral form (Goncalves et al., 2016).


580 Carbohydrates also increased in the _nrt2.2_ KO lines (Fig. 4E). Carbohydrate accumulation is a


581 common response to N limitation in microalgae (Pancha and Imamura, 2026). _Nannochloropsis_,


582 however, stores C as β-1,3-glucan rather than starch (Vogler et al., 2018), and typically favors lipid


583 over carbohydrate accumulation during N stress (Recht et al., 2012). The simultaneous increase of


584 both pools in _nrt2.2_ KO strains therefore suggests that the C surplus exceeded what the lipid pathway


585 alone could absorb, or that the chronic _nrt2.2_ block, with no demand for C and reducing power for


586 NO 3 &#91;-&#93; assimilation from the start, used both sinks. The two pools may also play distinct roles:


587 carbohydrate synthesis is a rapid, low-cost sink for fixed C, whereas TAG synthesis requires more


588 ATP and reducing power and represents a more reduced, long-term store (Valledor et al., 2014; Wang


589 et al., 2024). Time-resolved measurements of both pools would clarify whether carbohydrates act as


590 an early sink that is progressively complemented by lipids. Overall, the strong accumulation of both


591 compounds indicates that the disruption of NO 3 &#91;-&#93; uptake places cells in a prolonged C-rich, N-deficient


592 metabolic state that cannot be relieved just by NO 3 &#91;-&#93; supply (Fig. 2).


593


594


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595 **Figure 6. Model of NRT2.2-mediated NO** **3** **&#91;−&#93;** **uptake in** _**Nannochloropsis**_ _**oceanica**_ **and**
596 **consequences of its loss.** A) Wild type (WT). NO 3 &#91;−&#93; enters through the plasma-membrane transporter
597 NRT2.2, is reduced to NO 2 &#91;−&#93; by nitrate reductase (NR) in the cytosol and to NH 4 &#91;+&#93; by nitrite reductase
598 (NiR) in the chloroplast, where it is assimilated into amino acids (GS/GOGAT) using carbon
599 skeletons from the Calvin-Benson-Bassham (CBB) cycle. Amino acids sustain protein synthesis.
600 NRT2.1 (grey) is not required for NO 3 &#91;−&#93; uptake under these conditions. B) _nrt2.2_ knock-out (KO).
601 Without NRT2.2, NO 3 &#91;−&#93; is not taken up and remains in the medium, and cells become N-limited
602 although NO 3 &#91;−&#93; is available: chlorophyll _a_ decreases (paler thylakoids) together with F v /F m, cell
603 division stops and fixed carbon is diverted to storage lipids and carbohydrates (Fig. 4), increasing the
604 C/N ratio; protein content per cell is unaffected. NH 4 &#91;+&#93;, taken up independently of NRT2.2 (AMT,
605 ammonium transporter), restores growth. Black arrows, unchanged; thick red arrows, increased;
606 dashed blue arrows, decreased; grey, absent or no phenotype. The areas of the lipid droplets (yellow)
607 and carbohydrate symbols (hexagons) are proportional to the FTIR ratios in +NO 3 &#91;-&#93; (Fig. 4D,E). ATP
608 and NADPH supply to the CBB cycle was not measured (question mark). The outermost chloroplast
609 membrane (dashed) is continuous with the endoplasmic reticulum.


610 **NRT2.2 at the interface between the ocean and the cell**


611 NRT2.2 is the plasma membrane gateway for NO 3 &#91;-&#93; in _N. oceanica_ . From a physiological perspective,


612 these findings place NO 3 &#91;-&#93; uptake upstream of the coordination between C and N metabolism. By


613 controlling NO 3 &#91;-&#93; entry, it determines whether fixed C is channelled into growth or diverted into


614 storage, placing it at the core of the metabolic response to N availability (Fig. 6). Because _N. oceanica_


615 relies on a single dominant transporter, its metabolism has little buffering against the loss of this


616 uptake system.


617 This tight coupling also has ecological implications. In the ocean, NO 3 &#91;-&#93; is the largest pool of


618 bioavailable N, yet it is depleted for long periods in surface waters and resupplied episodically


619 (Gruber, 2008). Under these conditions, the capacity to acquire NO 3 &#91;-&#93; can strongly limit primary


620 productivity, and the dependence of _N. oceanica_ on a single dominant transporter makes NRT2.2 a


621 strong candidate to determine how this alga uses transient NO 3 &#91;-&#93; inputs and how it then allocates C


622 between growth and storage, consequently affecting the whole community. Moreover,


623 macromolecular composition determines cell density and, in non-motile phytoplankton, sinking:


624 carbohydrates and proteins increase density, whereas lipids lower it (Liefer et al., 2019; Wu et al.,


625 2025). In nutrient-depleted surface waters, protein and carbohydrate ballast has been proposed to help


626 cells sink toward deeper, nutrient-rich layers (Wu et al., 2025). The concurrent accumulation of


627 carbohydrates and lipids in the _nrt2.2_ KO lines may therefore alter buoyancy, thus impairing sinking


628 behaviour. By linking nutrient supply to the allocation of fixed C, NRT2.2 connects the chemistry of


629 seawater to the biochemical composition of the cell, with potential consequences for the C:N


630 stoichiometry of the organic matter produced in the ocean (Liefer et al., 2019).


631 Together, these results show that NRT2.2 is the gateway through which NO 3 &#91;-&#93; enters the cell and sets


632 the balance between growth and C storage, providing a mechanistic link between the N supply of the


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633 ocean and the metabolism of phytoplankton in a fluctuating environment. Defining how this gateway


634 is regulated and how widely it is shared among lineages will be key to predicting how phytoplankton


635 cope with a variable N supply and, given the biotechnological relevance of _Nannochloropsis_, to


636 redirect C partitioning toward storage compounds such as lipids.


637


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preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
&#91;perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.&#93;(http://creativecommons.org/licenses/by-nc-nd/4.0/)


638 **COMPETING INTERESTS**


639 The authors declare no competing interests.


640


641 **DATA AVAILABILITY STATEMENT**


642 All data have been deposited in the Research Data UniPD repository under the following accession


643 &#91;ID: https://researchdata.cab.unipd.it/id/eprint/1961.&#93;(https://researchdata.cab.unipd.it/id/eprint/1961)


644


645 **FUNDING**


646 AA and CG acknowledge funding from MUR PRIN22 Project “INPHOMARE” (2022KT9X3S). GP


647 acknowledges the Department of Biology of the University of Padova for the BIRD2023 Project


648 ‘ORGANISM’, the MUR for the PRIN2022 Project 2022CWZNZC_002 and the PRIN-PN22 Project


649 P2022WL8TS_003.


650


651 **ACKNOWLEDGEMENTS**


652 The authors wish to thank the Imaging Light Microscopy Facility and the Plant Genome Editing and


653 Phenotyping Facility of the Biology Department of the University of Padova (Italy). AI was used to


654 assist with figure assembly and the scripts used to plot the data without altering the image data, and


655 to revise the English language of the manuscript without changing its scientific content.


656


657 **AUTHOR CONTRIBUTIONS**


658 Anna Santin: Conceptualization, Data curation, Formal analysis, Investigation, Methodology,


659 Visualization, Writing - original draft, Writing - review &amp; editing


660 Laura Verdesca: Formal analysis, Investigation, Methodology, Writing - review &amp; editing


661 Alessandra Bellan: Formal analysis, Investigation, Methodology, Writing - review &amp; editing


662 Miles Minio: Data curation, Formal analysis, Investigation, Methodology, Visualization, Writing 

663 review &amp; editing


664 Caterina Gerotto: Data curation, Funding acquisition, Investigation, Resources, Supervision,


665 Validation, Writing - review &amp; editing


666 Tomas Morosinotto: Funding acquisition, Supervision, Writing - review &amp; editing


667 Giorgio Perin: Funding acquisition, Supervision, Writing - review &amp; editing


668 Alessandro Alboresi: Conceptualization, Data curation, Funding acquisition, Investigation, Project


669 administration, Resources, Supervision, Validation, Writing - review &amp; editing


670


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preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
&#91;perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.&#93;(http://creativecommons.org/licenses/by-nc-nd/4.0/)


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837

838


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preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
&#91;perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.&#93;(http://creativecommons.org/licenses/by-nc-nd/4.0/)


839 **FIGURE LEGENDS**


840
841 **Figure 1. Phylogeny and predicted structure of** _**Nannochloropsis**_ _**oceanica**_ **NRT2s.** A) Maximum842 likelihood phylogeny of 94 NRT2 proteins from 50 photosynthetic and non-photosynthetic
843 eukaryotes. Filled and open circles indicate nodes with ultrafast bootstrap (UFBoot) support ≥ 95%
844 and 70-94%, respectively; SH-aLRT/UFBoot values are shown for the eustigmatophyte clade and for
845 the NoNRT2.2- _Microchloropsis_ clade. Colors indicate taxonomic groups; _N. oceanica_ NRT2.1 and
846 NRT2.2 are in orange. Sequences and accession numbers are listed in Supplementary Data Set S1.
847 B) Predicted structural model of _N. oceanica_ NRT2.2 with 12 transmembrane helices and, in the
848 zoomed view, the putative NO 3 &#91;-&#93; binding site: R86 and R302 (green), E265 (magenta), and N167 and
849 N390 (blue).
850 ALT TEXT: Phylogenetic tree of NRT2 transporters and predicted 3D structure of _Nannochloropsis_
851 NRT2.2.

852
853 **Figure 2. Impaired growth and nitrate uptake in** _**Nannochloropsis oceanica**_ _**nrt2.2**_ **KO mutants.**
854 A) RT-PCR of NRT2.1 and NRT2.2 transcripts in the wild type (WT) and in two _nrt2.1_ and two
855 _nrt2.2_ knock-out (KO) lines (#1, #2); ACT (actin), reference transcript. Primers are listed in Table
856 S1. B) Experimental setup. Cells were grown under atmospheric CO 2 (400 ppm) and continuous white
857 light (35 µmol photons m &#91;-2&#93; s &#91;-1&#93; ) in 882 µM nitrate (NO 3 &#91;-&#93; ) and 882 µM ammonium (NH 4 &#91;+&#93; ) until
858 exponential phase, starved of N for 3 days and then resupplied with NO 3 &#91;-&#93; or NH 4 &#91;+&#93; . C) Residual NO 3 &#91;-&#93;
859 in the medium and D) cell concentration during 4 days in 882 µM NO 3 &#91;-&#93; . E) Cell concentration in 882
860 µM NH 4 &#91;+&#93; (control). F) Cultures after 4 days of NO 3 &#91;-&#93; or NH 4 &#91;+&#93; repletion. Data are mean ± SD of at
861 least three biological replicates. Asterisks: unpaired two-tailed Student's t-test vs WT at day 4; * p &lt;
862 0.05, ** p &lt; 0.01, *** p &lt; 0.001.
863 ALT TEXT: Gel, scheme and growth curves showing that _nrt2_ .2 knock-out lines do not take up nitrate
864 and do not grow on it.
865
866 **Figure 3. Altered intracellular N content and photosynthetic performance in** _**Nannochloropsis**_
867 _**oceanica**_ _**nrt2.2**_ **knock-out mutants.** Wild-type (WT), two _nrt2.1_ and two _nrt2.2_ knock-out (KO)
868 lines were grown in the Multi-Cultivator system under atmospheric CO 2 (400 ppm) and continuous
869 white light (80 µmol photons m &#91;-2&#93; s &#91;-1&#93; ) and analyzed after 4 days of repletion with 882 µM nitrate (NO 3 &#91;-&#93;
870 ); growth curves are shown in Figure S3 and the control conditions, nitrogen (N) deprivation and
871 NH 4 &#91;+&#93; repletion, in Figures S4-S7. A) Biomass production. B) Carbon (C) and C) N content, as
872 percentage of dry weight. The detection limit for N is 4% of dry weight (grey area): N was not
873 detected (n.d.) in five of six _nrt2.2_ KO samples, and the only measurable sample ( _nrt2.2_ KO #2) is
874 shown. D) Total protein content. E) Maximum photosynthetic efficiency, expressed as F v /F m, and F)
875 chlorophyll content. G) Relative pigment composition (% chlorophyll and total carotenoids). Data
876 are mean ± SD of at least three biological replicates. Asterisks: unpaired two-tailed Student’s t-test
877 vs WT; * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001.
878 ALT TEXT: Graphs showing higher C/N and lower photosynthetic efficiency in _nrt2.2_ knock-out
879 lines.

880
881 **Figure 4. Increased lipid and carbohydrate content in** _**Nannochloropsis oceanica**_ _**nrt2.2**_ **knock-**
882 **out mutants.** Fourier Transform Infrared (FTIR) spectra of _N. oceanica_ wild-type (WT), two _nrt2.1_
883 and two _nrt2.2_ knock-out (KO) lines grown in the Multi-Cultivator system, under atmospheric CO 2
884 (400 ppm) and continuous white light (80 µmol photons m &#91;-2&#93; s &#91;-1&#93; ) A) after 3 days of nitrogen (N)
885 depletion, B) after 4 days of repletion with 882 µM ammonium (NH 4 &#91;+&#93; ), and C) after 4 days of
886 repletion with 882 µM nitrate (NO 3 &#91;-&#93; ). Spectra are normalized to the protein amide I peak at ~1650
887 cm-1; total protein did not differ between strains (Fig. S6). Shaded areas mark the spectral regions of
888 the fitted bands used for quantification: lipid ester C=O (1770-1710 cm &#91;-1&#93; ) and carbohydrate C-O-C


32


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preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
&#91;perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.&#93;(http://creativecommons.org/licenses/by-nc-nd/4.0/)


889 (1200-950 cm &#91;-1&#93; ); colored asterisks refer to the band ratios in D and E. D) Lipid (ester C=O) and E)
890 carbohydrate (C-O-C) band areas relative to the protein amide I band (~1656 cm &#91;-1&#93; ), obtained by fitting
891 the spectra with Lorentzian bands (lipids: ester C=O band at ~1740 cm &#91;-1&#93; ; carbohydrates: sum of the
892 bands between ~1030 and ~1160 cm &#91;-1&#93; ). F) Neutral lipids, measured as Nile Red fluorescence, in the
893 same conditions. Data are mean ± SD of at least three biological replicates (FTIR technical duplicates
894 were averaged). Asterisks: unpaired two-tailed Student’s t-test vs WT; * p &lt; 0.05, ** p &lt; 0.01, *** p
895 &lt; 0.001.
896 ALT TEXT: FTIR spectra and plots showing more lipids and carbohydrates in _nrt2.2_ knock-out lines.
897
898 **Figure 5. Subcellular localization of** _**Nannochloropsis oceanica**_ **NRT2.2 to the plasma**
899 **membrane.** A) Expression construct: NRT2.2 coding sequence fused at its 3’ end to the yellow
900 fluorescent protein mVenus, co-transformed with a hygromycin resistance cassette. B) Genomic PCR
901 confirming the integration of the construct (1834 bp amplicon, primers for/rev in A) in lines #9 and
902 #11; WT, wild-type parental strain; C+, transformation plasmid. C) Confocal images of WT and
903 NRT2.2-mVenus cells: bright field (BF), chlorophyll _a_ autofluorescence (magenta), mVenus (green)
904 and merge. mVenus is corrected for chlorophyll bleed-through and shown with the same intensity
905 range in all lines. Scale bars = 5 μm. D) Mean intensity profiles (± SD) of mVenus (green) and
906 chlorophyll _a_ (magenta, normalized to the maximum of each profile) across the cell (18 diameters
907 per cell; position normalized to the ring radius, ring at ±1; WT scaled by the mean ring radius, 1.63
908 µm), in WT cells (n = 10) and in NRT2.2-mVenus cells with a peripheral ring (#9: n = 4; #11: n = 5);
909 mVenus is on a separate scale for each line. E) Pearson’s correlation between mVenus and
910 chlorophyll _a_ signals after bleed-through correction in the NRT2.2-mVenus lines #9 and #11; each
911 dot is one cell, bars are means.
912 ALT TEXT: Confocal images showing NRT2.2-mVenus at the cell periphery.
913
914 **Figure 6. Model of NRT2.2-mediated NO** **3** **&#91;−&#93;** **uptake in** _**Nannochloropsis**_ _**oceanica**_ **and**
915 **consequences of its loss.** A) Wild type (WT). NO 3 &#91;−&#93; enters through the plasma-membrane transporter
916 NRT2.2, is reduced to NO 2 &#91;−&#93; by nitrate reductase (NR) in the cytosol and to NH 4 &#91;+&#93; by nitrite reductase
917 (NiR) in the chloroplast, where it is assimilated into amino acids (GS/GOGAT) using carbon
918 skeletons from the Calvin-Benson-Bassham (CBB) cycle. Amino acids sustain protein synthesis.
919 NRT2.1 (grey) is not required for NO 3 &#91;−&#93; uptake under these conditions. B) _nrt2.2_ knock-out (KO).
920 Without NRT2.2, NO 3 &#91;−&#93; is not taken up and remains in the medium, and cells become N-limited
921 although NO 3 &#91;−&#93; is available: chlorophyll _a_ decreases (paler thylakoids) together with F v /F m, cell
922 division stops and fixed carbon is diverted to storage lipids and carbohydrates (Fig. 4), increasing the
923 C/N ratio; protein content per cell is unaffected. NH 4 &#91;+&#93;, taken up independently of NRT2.2 (AMT,
924 ammonium transporter), restores growth. Black arrows, unchanged; thick red arrows, increased;
925 dashed blue arrows, decreased; grey, absent or no phenotype. The areas of the lipid droplets (yellow)
926 and carbohydrate symbols (hexagons) are proportional to the FTIR ratios in +NO 3 &#91;-&#93; (Fig. 4D,E). ATP
927 and NADPH supply to the CBB cycle was not measured (question mark). The outermost chloroplast
928 membrane (dashed) is continuous with the endoplasmic reticulum.
929 ALT TEXT: Model comparing carbon and nitrogen metabolism in wild-type and _nrt2.2_ knock-out
930 cells.

931


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