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- Source title: Transcriptome analysis provides insights into candidate genetic regulators of birch response to salt stress
- Author(s): Zhi Li, Qingjing Huang, Liangju Li, Lixiu Yan, Bangmeng Zhou, Cheng Jie
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# 1 Transcriptome analysis provides insights into candidate genetic 2 regulators of birch response to salt stress


3 Zhi LI &#91;1&#93;, Qingjing HUANG &#91;2&#93;, Liangju LI &#91;2&#93;, Lixiu YAN &#91;2,*&#93;, Bangmeng ZHOU &#91;2&#93;, Jie CHENG &#91;1,*&#93;


4 _¹Key Laboratory of Meat Processing of Sichuan Province, College of Food and Biological Engineering,_

5 _Chengdu University, Chengdu 610106, China_


6 _²Chongqing Academy of Metrology and Quality Inspection, Chongqing 401123, China_


7 Correspondence: Lixiu YAN (cqjcylx@163.com); Jie CHENG (chengjie@cdu.edu.cn)


8 ORCID: Zhi LI (https://orcid.org/0009-0002-6679-3827); Qingjing HUANG (https://orcid.org/0009-0008-1752
9 9978); Liangju LI (https://orcid.org/0009-0005-7301-4731); Lixiu YAN (https://orcid.org/0009-0001-6016
10 319X); Bangmeng ZHOU (https://orcid.org/0009-0005-5233-0110); Jie CHENG (https://orcid.org/0000-0002
11 0500-4233)


12


1


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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
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## 13 Abstract


14 **Background:** Soil salinization is a worldwide matter of concern and can result in a series of


15 agricultural and ecological problems. Previous transcriptome data have shown genetic


16 regulatory mechanisms of salt stress response in _a salt-tolerant species of Betula halophila_


17 _and a salt-sensitive species of B. platyphylla_, but comparative analysis of transcriptional


18 changes in the the two species remains limited.


19 **Aims:** We compared gene expression in leaves of _B. halophila_ and leaves and roots of _B._


20 _platyphylla_ .


21 **Methods:** Differentially expressed genes (DEGs) were identified after 24 h of salt stress,


22 followed by Gene Ontology enrichment and gene regulatory network (GRN) construction.


23 Selected DEGs were examined by quantitative real-time PCR (RT-qPCR).


24 **Results:** Compared with 0 h, 956 DEGs were found in _B. halophila_ leaves (BHLeaf), 2,955 in


25 _B. platyphylla_ leaves (BPLeaf), and 3,827 in _B. platyphylla_ roots (BPRoot). BHLeaf DEG


26 expression patterns were similar to those of BPRoot. DEGs from BHLeaf and BPRoot were


27 enriched in cell wall organization or biogenesis, whereas hormone biosynthesis and signaling


28 genes were altered mainly in _B. platyphylla_ . RT-qPCR showed that selected DEGs were


29 induced by 200 mM NaCl for 24 h in _B. platyphylla_ .


30 **Conclusions:** Our work uncovered genetic mechanisms of salt stress response commonly and


31 uniquely occurring in two birch species and provides resources for breeding salt-tolerant


32 birch.

## 33 Highlights


34  - Salt stress altered the expression of 956, 2,955 and 3,827 genes in the two birch species.


35  - BHLeaf expression patterns were similar to those of BPRoot.


36  - The expression changes of nine selected DEGs were examined by RT-qPCR in _B._


37 _platyphylla._


2


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38 **Keywords:** birch; halophytes; glycophytes; transcriptome; salt stress; genetic control


39 **Abbreviations:** BHLeaf, leaves of _B. halophila_ treated with 200 mM NaCl for 24 h; BPLeaf,


40 leaves of _B. platyphylla_ treated with 200 mM NaCl for 24 h; BPRoot, roots of _B. platyphylla_


41 treated with 200 mM NaCl for 24 h; DEG, differentially expressed gene; FDR, false


42 discovery rate; FPKM, fragments per kilobase per million mapped reads; GO, Gene


43 Ontology; GRN, gene regulatory network; NAA, naphthalene acetic acid; ROS, reactive


44 oxygen species; RT-qPCR, reverse transcription quantitative PCR; SRA, Sequence Read


45 Archive; STEM, Short Time-series Expression Miner; TF, transcription factor; WPM, woody


46 plant medium.


47 **Acknowledgements:** The authors thank the investigators who generated and made publicly


48 available the transcriptome datasets used in this study, as well as the developers of the open

49 source bioinformatics tools used for data analysis. The authors also thank their institutions for


50 providing research facilities and support. No specific funding was received for this study.


51 **Author contributions:** Zhi LI: Conceptualization, Data curation, Formal analysis,


52 Investigation, Methodology, Software, Visualization, Writing—original draft. Qingjing


53 HUANG: Data curation, Formal analysis, Investigation, Validation. Liangju LI: Data


54 curation, Formal analysis, Investigation, Validation. Lixiu YAN: Conceptualization, Project


55 administration, Resources, Supervision, Writing—review and editing. Bangmeng ZHOU:


56 Data curation, Formal analysis, Software, Validation, Visualization. Jie CHENG:


57 Conceptualization, Project administration, Resources, Supervision, Writing—review and


58 editing. All authors read and approved the final manuscript.


59 **Data and materials availability:** The datasets generated and analyzed during the present


60 study are available from the corresponding author on reasonable request.


61 **Declaration of ethical and legal standards compliance:** Not applicable.


62 **Conflict of interest:** The authors declare that they have no conflict of interest.


3


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## 63 Introduction


64 More than 20% of the world’s irrigated lands are threatened by high salinity, which is


65 dramatically increasing every year due to climate change and unsustainable irrigation


66 management (Velasco et al. 2018; Singh 2021). High salinity is one of the environmental


67 stressors that severely affects all aspects of plant growth and development (Xiao and Zhou


68 2023). To cope with stress problems in salt-affected problematic soils, plants have evolved


69 diverse physiological and molecular mechanisms during the long period of evolution (Zhao et


70 al. 2020b; Rahman et al. 2022; Thinn et al. 2025). Owing to the degree of tolerance to salt


71 stress, land plants can be mainly divided into glycophytes and halophytes (Flowers et al.


72 2015). For glycophytes, the general limit of external salt concentrations above which plant


73 yield is severely reduced is approximately 86 mM sodium chloride (NaCl) (Chapman 1942),


74 while halophytes are only observed for their yield penalties when the external salt


75 concentrations exceed 200 mM NaCl (Flowers and Colmer 2008; Santos et al. 2016). The


76 halophytic plants which grow in salt-alkalinized habitats are truly salt-tolerant plants, which


77 are provided with the capability of excluding, excreting, and accumulating salts into/from


78 their cells, organelles, and tissues (Shabala 2013; Flowers et al. 2015; Percey et al. 2016).


79 Moreover, external salt concentrations ranged from 40 to 100 mM NaCl severely inhibit


80 photosynthesis in glycophytes (Munns and Tester 2008), while many halophytes are capable


81 of maintaining or improving photosynthesis at these salt concentrations (Stepien and Johnson


82 2009). According to the salt-tolerant characteristics of halophytes mentioned earlier, it is


83 reasonable for us to select them as ideal models to elucidate the mechanisms that underlie


84 salinity tolerance (Fan 2020).


85 In the past decades, it has been well document that plants responding to salt stress involve a


86 variety of biological processes regulated by different functional components, mainly


87 including osmoregulation, ionic homeostasis, oxidation-reduction regulation, antioxidant


4


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88 enzyme activation, as well as the biosynthesis of hormone and compatible solutes (Munns and


89 Tester 2008; Velasco et al. 2018; Zhao et al. 2020b; Singh 2021). However, the elucidation of


90 contrasting mechanisms underlying salt stress response between halophytes and glycophytes


91 are far from being completely understood. Therefore, it is necessary for us to screen the salt


92 tolerant gene alleles and transform them for the purpose of obtaining salinity-resistant plants


93 with strong acclimation and adaptation to extreme saline environments (Fang et al. 2021).


94 Birch trees ( _Betula spp._ ), widely distributed across Europe and parts of Asia, can thrive in a


95 wide range of habitats from boreal forests to temperate woodlands (Jonczak et al. 2020). The


96 ecological, economic, and evolutionary values of birch trees (Gang et al. 2019), together with


97 their roles in scientific researches, underscore the need for thorough and systematic studies


98 into their growth and developmental properties under normal and stressful conditions. _Betula_


99 _halophila_, a critically endangered halophytic species, is first discovered in a swamp co

100 occurred with extremely high salinity located in Xinjiang province in 1956 (Shao et al.


101 2018b). _B. platyphylla_, a pioneer hardwood tree species, has exceptional cold tolerance and


102 weak salt resistance (Liu et al. 1998; Chen et al. 2021a). In the present study, we compared


103 the expression alterations of genes across leaves and roots of _B. platyphylla_ as well as leaves


104 of _B. halophila_ . Based on the analysis of differentially expressed genes (DEGs), we proposed


105 the gene regulatory networks (GRNs) to observe how birch seedlings responded to high saline


106 conditions. Furthermore, we randomly selected nine genes from our constructed GRNs and


107 confirmed their expression levels using quantitative real-time polymerase chain reaction (RT

108 qPCR) assay. Our transcriptome analysis explored the genetic regulatory mechanisms


109 involved in salt stress response and discovered a total of potential genes for enhancing salt


110 tolerance in birch, which could lay the foundation for decoding distinct adaptation


111 mechanisms of glycophytes to saline-alkali lands.


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## 112 Materials and methods


113 **Transcriptome data collection**


114 To understand the transcriptional dynamics of birch seedlings in response to salt stress, we


115 respectively downloaded the transcriptome data of _B. halophila_ (Shao et al. 2018a) and _B._


116 _platyphylla_ (Jia et al. 2022) from Sequence Read Archive (SRA) data on the National Center


117 for Biotechnology Information (NCBI) website. Of which, the leaves from _B. halophila_ as


118 well as the leaves and roots from _B. platyphylla_ were all subjected to 0 mM NaCl for 0 h and


119 200 mM NaCl for 24 h. Three biological replicates were conducted. In our analysis, the leaves


120 under 200 mM NaCl of _B. halophila_ were designated as BHLeaf. The leaves and roots under


121 200 mM NaCl of _B. platyphylla_ were respectively designated as BPLeaf and BPRoot.


122 **Transcriptome data analysis**


123 We firstly discarded the adaptor sequences and reads with unknown or low-quality bases from


124 raw reads using fastp v0.23.2 (Chen et al. 2018) to obtain clean reads. Clean reads were then


125 mapped to the genome of _B. pendula subsp. pendula_ v.1.2 (Salojärvi et al. 2017) using


126 HISAT2 v2.2.1 (Kim et al. 2019). The transcripts assembly and quantitation were evaluated


127 using StringTie v2.1.3b (Pertea et al. 2016). The gene expression levels were calculated by


128 fragments per kilo-bases per million mapped reads (FPKM) values. We used DESeq2


129 package (Love et al. 2014) to acquire the differentially expressed genes (DEGs). The criterion


130 of false discovery rate (FDR)-corrected P value of 0.05 and an expression value of log � |fold


131 change|&gt;1 was used for judging the significance of expression differences (Benjamini and


132 Yekutieli 2001). Classical Venn diagram was constructed using EVenn online software (Chen


133 et al. 2021b). Heatmaps of gene expression patterns were carried out by pheatmap package


134 v1.0.12 (https://cran.r-project.org/package=pheatmap). Transcription factors (TFs) were


135 annotated and classified by the iTAK online software (Zheng et al. 2016).


6


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136 **The construction of gene regulatory networks (GRNs)**


137 In our work, genes differentially expressed at one or more tissues from two species were


138 regarded as a gene set. Based on the Short Time-series Expression Miner (STEM) clustering


139 method, clusters were divided by STEM software v1.3.13 (Ernst and Bar-Joseph 2006) with


140 default parameters. Further, we employed the GEne Network Inference with Ensemble of


141 trees (GENIE3) package to construct the potential GRNs related to salt stress. After that, the


142 GRNs were visualized using Cytoscape v.3.10.2 (Shannon et al. 2003).


143 **Gene ontology (GO) enrichment analysis of DEGs**


144 Through homolog searches, we conducted the functional annotation of genes in birch genome.


145 The BLASTP v2.7.1 program was used for searching the Uniprot/SwissProt Release 2021_01


146 (10-Feb-2021) database with parameters including -evalue 1e-5, -num_alignments 1, and 

147 outfmt 6. The BLASTP hits with a percentage of identical matches lower than 60% and an


148 alignment length shorter than 70 bp were filtered out. The unique functional annotation of


149 these filtered BLASTP results was regarded as the non-redundant functional annotation


150 database. GO enrichment analysis was carried out using the clusterProfiler package v3.18.0


151 (Yu et al. 2012).


152 **The prediction of homologous genes related to salt stress in birch**


153 Genome files from _Arabidopsis thaliana_ (TAIR10) were downloaded from the Phytozome


154 v13 online website (Goodstein et al. 2012). Genome files of _B. pendula_ v1.2 scaffolds


155 (Salojärvi et al. 2017) were retrieved from the CoGe comparative genomics platform


156 (https://genomevolution.org/CoGe). After that, we performed the OrthoFinder v2.2.7 software


157 (Emms and Kelly 2015) to identify homology relationships between birch and _Arabidopsis_


158 proteins. In combination with the information of _Arabidopsis_ genes related to salt stress


159 signaling, response, and tolerance reported in public articles, we predicted the birch candidate


160 genes involved in salt stress response.


7


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161 **Expression patterns of candidate genes related to salt stress response using RT-qPCR**


162 **assay**


163 Micro-propagated plants of _B. platyphylla_ were grown on 6‰ agar-solidified woody plant


164 medium (WPM) with 3.0% sucrose under the pH=5.8. The roots of seedlings were created by


165 WPM medium with the supplement of 1.0 mg/L naphthalene acetic acid (NAA) for 30 d. The


166 culture room parameters were set as follows: 25°C, 16 h of light per day, and light density of


167 approximately 5000 lux. After that, the rooted seedlings were cultivated in the substrates


168 mixed with soils, vermiculites, and perlites for two months under the standard greenhouse


169 conditions. Young seedlings were subjected to 200 mM NaCl solutions for 0 and 24 h. At


170 every time-point, roots and the third leaves close to the apical buds were respectively


171 harvested. Six biological replicates were conducted.


172 RNA extraction and reverse transcription assays were completed according to the protocols


173 described previously (Bian et al. 2025). We randomly selected nine candidate genes related to


174 salt stress response and examined the expression levels of these genes using quantitative real

175 time polymerase chain reaction (RT-qPCR) assay. RT-qPCR assay was accomplished by the


176 PrimerScript RT Reagent Kit (Perfect Real Time, Takara) on a LightCycler &#91;®&#93; 480 II


177 instrument (Roche Diagnostics, Indianapolis, USA). _18S rRNA_ (GenBank Accession #:


178 FJ228477.1) was used as a housekeeping gene. The specific primers of genes used for RT

179 qPCR assay were listed in Table 1. Relative expression levels were calculated using the 2 &#91;−&#93; &#91;ΔΔ&#93; &#91;Ct&#93;


180 method (Schmittgen and Livak 2008). Three replicates were performed for each sample.

## 181 Results


182 **Analysis of genes differentially expressed in** _**B. halophila**_ **and** _**B. platyphylla**_


183 To study the transcriptional dynamics under salt stress in birch, we downloaded and analyzed


184 the transcriptome data reported by previous studies (Shao et al. 2018a; Jia et al. 2022).


185 Compared to 0 h, there were 339 up-regulated genes and 617 down-regulated genes in


8


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186 BHLeaf after salt stress for 24 h, 1784 up-regulated genes and 1171 down-regulated genes in


187 BPLeaf after salt stress for 24 h, and 2320 up-regulated genes and 1507 down-regulated genes


188 in BPRoot after salt stress for 24 h (Fig. 1a). These results suggested that after salt treatment,


189 the number of genes differentially expressed in the leaves of _B. halophila_ was similar to that


190 of roots in _B. platyphylla_, while the number of genes with altered expression levels from


191 leaves of two birch species were greatly differed.


192 **Genes related to cell wall organization or biogenesis occurred in leaves of B. halophila**


193 **and roots of** _**B. platyphylla**_


194 GO enrichment analysis showed that many DEGs from BHLeaf were significantly enriched in


195 cell wall organization or biogenesis (GO:0071554), cell wall organization (GO:0071555),


196 polysaccharide catabolic process (GO:0000272), external encapsulating structure organization


197 (GO:0045229), and pectin catabolic process (GO:0045490) ( _q-value_ &lt;0.05) (Fig. 1b). Many


198 DEGs from BPLeaf were significantly involved in defense response to other organism


199 (GO:0098542) and response to bacterium (GO:0009617) ( _q-value_ &lt;0.05) (Fig. 1b). Many


200 DEGs from BPRoot were significantly related to cell wall organization or biogenesis


201 (GO:0071554), polysaccharide metabolic process (GO:0005976), ion transport


202 (GO:0006811), external encapsulating structure organization (GO:0045229), cell wall


203 organization (GO:0071555), response to inorganic substance (GO:0010035), small molecule


204 biosynthetic process (GO:0044283), cellular carbohydrate metabolic process (GO:0044262),


205 organic acid biosynthetic process (GO:0016053), and carboxylic acid biosynthetic process


206 (GO:0046394) ( _q-value_ &lt;0.05) (Fig. 1b). Accordingly, it seemed that the cell wall


207 organization or biogenesis was a common biological process in the leaves of _B. halophila_ and


208 roots of _B. platyphylla_ exposed to 200 mM NaCl solutions.


209 To further study the DEGs significantly enriched in cell wall organization or biogenesis, we


210 performed the observation on the enzymatic products generated by these DEGs. In our study,


9


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211 these genes could be classified into two groups (Fig. 1c). Specifically, genes encoding the


212 cellulose synthase, cellulose synthase-like protein, pectin lyase-like protein, pectin


213 methylesterase, pectinesterase, and plant invertase/pectin methylesterase inhibitor protein


214 were associated with the cell wall biosynthesis. Genes encoding leucine-rich repeat/extension,


215 expansin, fasciclin-like arabinogalactan-protein, and galactosyl transferase were in relation to


216 cell wall-localized glycoproteins. In most cases, the expressions of these genes mentioned


217 earlier showed a decrease in leaves of _B. halophila_, while there was an increased expressions


218 of these genes in leaves and roots of _B. platyphylla_ . As a result, it appeared that the opposite


219 expression levels of genes involved in cell wall organization or biogenesis were present in


220 two birch species.


221 **Expression profiles of genes from leaves of B. halophila shared similarity to roots of** _**B.**_


222 _**platyphylla**_


223 In the present study, a series of DEGs detected at one or more tissues of two birch species


224 were regarded as a dataset, which was further grouped into 10 clusters by STEM software


225 using the STEM clustering method algorithm (Fig. 2). Among them, the expression profiles of


226 genes from cluster 3, 4, 5, 6, and 9 reached the significant difference ( _p_ &lt; 0.05). Genes from


227 cluster 9 were up-regulated in all tissues of two species, and the expression folds of these


228 genes were increased in leaves and roots of _B. platyphylla_ when compared to the leaves of _B._


229 _halophila_ . With regards to cluster 3, 5, and 6, the expression levels of genes from leaves of _B._


230 _halophila_ showed similarity to that of roots of _B. platyphylla_ . Besides, genes from cluster 4


231 exhibited the opposite expression patterns between the tissues of two birch species. Therefore,


232 we proposed that the expression profiles of genes in leaves of _B. halophila_ were similar to


233 that of the roots of _B. platyphylla_, while the expression profiles of genes from leaves of two


234 birch species were greatly differed.


235 To further understand the genes from a certain cluster which biological processes participated


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236 in, we performed GO enrichment analysis (Table 2). In our work, genes from the cluster 3


237 were mainly involved in cell wall organization or biogenesis ( _q-value_ &lt; 0.05). Genes from the


238 cluster 5 were mainly implicated in ribosome biogenesis, response to wounding, as well as


239 defense response to other organism and fungus ( _q-value_ &lt; 0.05). Genes from the cluster 6


240 were mainly related to plastid organization, chloroplast organization, and chloroplast RNA


241 processing ( _q-value_ &lt; 0.05). Genes from the cluster 9 were mainly in relation to


242 photosynthesis, oxylipin biosynthetic and metabolic process, abscisic acid (ABA) response,


243 inorganic substance, and water deprivation ( _q-value_ &lt; 0.05).


244 **Genes responsible for hormone biosynthesis and signaling showed altered expression in**


245 _**B. platyphylla**_ **different from** _**B. halophila**_


246 On account of the _Arabidopsis_ genes associated with salt stress response, signaling, and


247 tolerance reported in public articles, we found 485 homologous genes from birch genome and


248 224 genes displayed altered expression in one or more tissues of two species after salt stress


249 for 24 h when compared to 0 h (Table 3 and Fig. 3). These results might imply the functional


250 roles of these homologous genes in controlling salt stress response in birch plants. Based on


251 the expression patterns of these genes in two species, we tended to observe whether specific


252 biological processes occurred during salt stress.


253 Of which, nine DEGs (four up-regulated genes and five down-regulated genes), 73 DEGs (52


254 up-regulated genes and 21 down-regulated genes), and 84 DEGs (53 up-regulated genes and


255 31 down-regulated genes) were uniquely present in BHLeaf, BPLeaf, and BPRoot,


256 respectively. Furthermore, nine DEGs from BHLeaf were mainly involved in ABA signaling


257 and response, cytokinin signaling, ionic homeostasis, cell wall integrity, nitrate allocation, and


258 reactive oxygen species (ROS) homeostasis (Table 3 and Fig. 3). 21 DEGs from BPLeaf were


259 mainly involved in cytokinin signaling, auxin signaling and transport, ABA biosynthesis,


260 signaling and response, ionic homeostasis, ROS homeostasis, antioxidant defense, immune


11


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261 system, peptide transport, cell wall integrity, and ethylene signaling (Table 3 and Fig. 3). 84


262 DEGs from BPRoot were mainly involved in cytokinin signaling, ABA biosynthesis, ABA


263 signaling, ABA response, ionic homeostasis, ROS homeostasis, antioxidant defense, and


264 immune system, peptide transport, cell wall integrity, and gibberellins (GAs) biosynthesis and


265 signaling (Table 3 and Fig. 3). As a result, we thought that the hormone biosynthesis,


266 signaling, and response in most cases was altered in _B. platyphylla_ instead of _B. halophila_ .


267 **Inference of the unique molecular regulatory mechanisms responsible for salt stress**


268 **response in two birch species**


269 We further analyzed the DEGs between two birch species using a Venn diagram (Fig. 4). In


270 our work, 121 DEGs were shared in BHLeaf, BPLeaf, and BPRoot. There were 444, 1877,


271 and 2668 DEGs uniquely present in BHLeaf, BPLeaf, and BPRoot. These results possibly


272 indicated a remarkable difference occurred in different tissues of two birch species subjected


273 to salt treatment.


274 To uncover the candidate genes governing salt stress response in birch, we analyzed the up

275 regulated and down-regulated DEGs uniquely present in BHLeaf, BPLeaf, and BPRoot. Of


276 which, we respectively found 299 (67.34%) down-regulated genes and 145 (32.66%) up

277 regulated genes present in BHLeaf, 848 (45.18%) down-regulated genes and 1029 (54.82%)


278 up-regulated genes present in BPLeaf, as well as 1150 (43.10%) down-regulated genes and


279 1518 (56.90%) up-regulated genes present in BPRoot (Fig. 5a).


280 GO enrichment analysis showed that DEGs uniquely present in BHLeaf were significantly


281 involved in cellular response to phosphate starvation (GO:0016036), cellular response to


282 starvation (GO:0009267), response to nutrient levels (GO:0031667), cellular response to


283 nutrient levels (GO:0031669), response to starvation (GO:0042594), response to extracellular


284 stimulus (GO:0009991), and cellular response to extracellular stimulus (GO:0031668) ( _q-_


285 _value_ &lt; 0.05); DEGs uniquely present in BPLeaf were significantly related to ribosome


12


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286 biogenesis (GO:0042254) and ribonucleoprotein complex biogenesis (GO:0022613) ( _q-value_


287 &lt; 0.05); and DEGs uniquely present in BPRoot were significantly involved in cell wall


288 organization or biogenesis (GO:0071554), polysaccharide metabolic process (GO:0005976),


289 external encapsulating structure organization (GO:0045229), cell wall organization


290 (GO:0071555), cellular carbohydrate metabolic process (GO:0044262), carbohydrate


291 biosynthetic process (GO:0016051), cellular polysaccharide metabolic process


292 (GO:0044264), plant-type cell wall organization or biogenesis (GO:0071669), cell wall


293 biogenesis (GO:0042546), and carbohydrate catabolic process (GO:0016052) ( _q-value_ &lt; 0.05)


294 (Fig. 5b).


295 Gene regulatory networks (GRNs) are powerful abstractions of biological systems (Huynh

296 Thu and Sanguinetti 2019). In this study, we adopted the GENIE3 software to construct the


297 GRNs relevant for salt stress response with the parameters of weight values above 0.01 in two


298 birch species (Fig. 5c, Table 4). The GRN of leaves from _B. halophila_ was consisted of 444


299 genes. Among them, 9 genes showed the closest homology to _Arabidopsis_ genes associated


300 with salt stress response, signaling, and tolerance (Table 3), which included


301 _Bpev01.c0000.g0141_ ( _SnRK2.6/OST1, Sucrose non-fermenting 1 (SNF1)-related protein_


302 _kinase 2.6/Open stomata 1_ ), _Bpev01.c0052.g0003_ ( _HAK5, High affinity K_ _&#91;+&#93;_ _transporter 5_ ),


303 _Bpev01.c0055.g0015_ ( _NPF7.3/NRT1.5, Peptide transporter family 7.3/Nitrate transporter_


304 _1.5_ ), _Bpev01.c0136.g0009_ ( _NDL1, N-MYC downregulated-like 1_ ), _Bpev01.c0263.g0010_


305 ( _ANN4, ANNEXIN 4_ ), _Bpev01.c0479.g0012_ ( _SnRK2.6/OST1_ ), _Bpev01.c0497.g0021_ ( _ARR12,_


306 _Arabidopsis response regulator 12_ ), _Bpev01.c1067.g000_ 7 ( _CIPK21, Calcineurin B-like_


307 _protein (CBL)-interacting protein kinase 21_ ), and _Bpev01.c1159.g0015_ ( _LRX4, Leucine-rich_


308 _repeat extensin 4_ ). These results implied that genes discovered from our GRN of _B. halophila_


309 probably acted as potential factors in regulating salt tolerance of birch trees.


310 Compared to _B. halophila_, only a few genes were identified from the GRNs of _B. platyphylla_


13


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311 (Fig. 5c, Table 5 and S6). Based on the homologous information of _Arabidopsis_ genes


312 associated with salt stress response, signaling, and tolerance reported in public articles (Table


313 3), we found a gene ( _Bpev01.c1966.g0003_ ) encoding UDP-d-xylose 4-epimerase 1/MURUS4


314 (UXE1/MUR4) from the GRN of BPLeaf and a gene ( _Bpev01.c0022.g0007_ ) encoding


315 Histone H1-3 (HIS1-3) from the GRN of BPRoot. These results indicated that the genes


316 identified from our GRNs were possibly capable of salt stress regulation in _B. platyphylla_ .


317 **Prediction of shared genetic regulatory mechanisms controlling salt stress response in**


318 **two birch species**


319 We studied the expression patterns of 121 shared DEGs in two birch species (Fig. 6a). Of


320 which, compared to 0 h, 59 up-regulated genes and 62 down-regulated genes were detected in


321 BHLeaf, 69 up-regulated genes and 52 down-regulated genes in BPLeaf, and 76 up-regulated


322 genes and 45 down-regulated genes in BPRoot. Moreover, in any tissues of two birch species,


323 40 DEGs had decreased expression levels, 25 DEGs showed increased or decreased


324 expression levels, and 56 DEGs exhibited increased expression levels.


325 Further, based on the expression profiles of shared DEGs under the parameter of probability


326 threshold above 0.01, we inferred a common GRN related to salt stress response between two


327 birch species (Fig. 6b, Table 7). Analysis of this shared GRN showed that three TFs,


328 including _Bpev01.c0162.g0014_, _Bpev01.c0088.g0098_, _and Bpev01.c0278.g0038_, were closely


329 homologous to _responsive to desiccation 26_ ( _RD26_ ), _Arabidopsis_ _NAC domain containing_


330 _protein 2_ ( _ANAC2_ ), and _heat shock transcription factor B2B_ ( _HSFB2B_ ). Additionally, six


331 genes, including _Bpev01.c1292.g0002_, _Bpev01.c0480.g0073_, _Bpev01.c1938.g0005_,


332 _Bpev01.c1798.g0004_, _Bpev01.c0294.g0006_, and _Bpev01.c0452.g0015_, were respectively


333 highly homologous to _EID1-like 3_ ( _EDL3_ ), _domain of unknown function_ ( _DUF23_ ) ( _GALS1_ ),


334 _K_ _&#91;+&#93;_ _efflux antiporter 6_ ( _KEA6_ ), _mitogen-activated protein (MAP) kinase kinase 9_ ( _MKK9_ ),


335 _nine-cis-epoxy-carotenoid dioxygenase 3_ ( _NCED3_ ), and _plant U-box 19_ ( _PUB19_ ).


14


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336 Accordingly, we suggested that these nine genes might play a critical role in response to salt


337 stress in birch seedlings.


338 **The expression profiles of candidate genes related to salt stress response in birch**


339 To further examine the accuracy of these constructed GRNs responsible for the regulation of


340 salt stress response, we randomly selected nine genes and performed the RT-qPCR assay (Fig.


341 7). In our study, contrary to 0 h, the expression of _Bpev01.c0162.g0014_ ( _RD26_ ),


342 _Bpev01.c0088.g0098_ ( _ANAC2_ ), _Bpev01.c0278.g0038_ ( _HSFB2B_ ), and _Bpev01.c1292.g0002_


343 ( _EDL3_ ) was activated in roots and leaves treated by 200 mM NaCl for 24 h. Compared to 0 h,


344 the expression of _Bpev01.c0480.g0073_ ( _GALS1_ ) and _Bpev01.c1938.g0005_ ( _KEA6_ ) was


345 inhibited in roots and leaves subjected to 200 mM NaCl for 24 h. After salt treatment for 24 h,


346 _Bpev01.c1798.g0004_ ( _MKK9_ ), _Bpev01.c1966.g0003_ ( _UXE1/MUR4_ ), and


347 _Bpev01.c0022.g0007_ ( _HIS1-3_ ) were weakly expressed in roots and strongly expressed in


348 leaves, as compared to 0 h. Accordingly, we suggested that the genes identified from our


349 GRNs were definitely induced by 200 mM NaCl solutions, involving the involvement of these


350 genes in affecting salt stress response in birch.

## 351 Discussion


352 Salinity is one of the rising problems causing plant yield losses that happens all over the


353 world, especially in arid and semiarid regions (Hassani et al. 2021). To deal with salt damage,


354 it is definitely urgent for us to create salinity-resistant plant varieties through effective genetic


355 engineering strategies. Thus, screening for salt-tolerant gene alleles from halophytes and


356 transforming them into glycophytes grown well in saline soils are of great significance (Yuan


357 et al. 2020). Birch is a pioneer hardwood tree species with ecological, economic, and


358 evolutionary importance due to the presence of strong adaptation to environmental stimuli,


359 outstanding phenotypic characteristics, wood properties, and medicinal uses (Chen et al.


360 2021a). Understanding the interplay between environmental stimuli and genetic factors in


15


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361 birch plants can allow us to accelerate the genetic improvement of forestry species strongly


362 adapted to salt-affected areas.


363 A series of physiological and molecular mechanisms can be triggered when plants are


364 exposed to high saline solutions (Ding et al. 2024). Unraveling these mechanisms and


365 identifying critical genes involved in salt response are crucial for developing salt-tolerant


366 varieties (Xiao and Zhou 2023). In this study, the number of DEGs discovered in leaves of _B._


367 _halophila_ showed a decrease as compared to leaves and roots of _B. platyphylla_ . Due to the


368 fact that halophytes are naturally grown in high saline soils, halophytes probably have


369 stronger adaptability to salt stress than glycophytes (Chen and Wang 2024). Once the


370 halophytes are supplemented by high concentrations of NaCl solutions, halophytes enable


371 themselves to maintain the intracellular steady-state level in vivo regardless of dramatic


372 transcriptional changes (Barros et al. 2021). These specific coping strategies to survive salt


373 stress might be the consequence of halophytes and glycophytes having been adapted to


374 distinct natural habitats over a long period of evolution (Acosta-Motos et al. 2017).


375 Meanwhile, the number of down-regulated genes was more than that of up-regulated genes in


376 _B. halophila_, which was probably attributed to halophytes’ ability to homeostasis


377 maintenance at transcriptional levels (Barros et al. 2021). The increased expression folds of


378 genes found in glycophytes as a result of salt stress may be more flexible for them to respond


379 to salt stress than halophytes ( İ brahimova et al. 2021).


380 Salt stress is a major threat to plant growth and developmental activities, which compels


381 plants to initiate multiple salt responsive strategies to promote their survival rates under high


382 saline conditions (Xiao and Zhou 2023; Goudarzi et al. 2024). In our study, the expression


383 profiles of DEGs detected in leaves of _B. halophila_ showed a high similarity to that of roots in


384 _B. platyphylla_, which might be explained by the possibility of their needs to adopt similar


385 responsive mechanisms to overcome salt damage in two birch species. For instance, both of


16


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386 the halophytes’ leaves and glycophytes’ roots take actions to up-regulate salt stress-related


387 genes to reduce intracellular osmotic potential and maintain water balance, further driving the


388 force to synthesize and accumulate osmoregulatory substances (Cheeseman 2015). Beside,


389 salt stress can disrupt ion homeostasis within plant cells. In order to maintain ion homeostasis,


390 genes related to ion channels and transporters in the leaves of halophytes and the roots of


391 glycophytes can be activated (Bian et al. 2025) Moreover, salt stress can induce a large


392 amounts of ROS accumulation through oxidative stresses (Lodeyro and Carrillo 2015). To


393 address this challenge, the leaves of halophytes and the roots of glycophytes enhanced the


394 activity of antioxidant enzymes and activated the expression of related genes to remove ROS


395 (Rahman et al. 2021).


396 Cell wall is a dynamic and complex structure that surrounds every cell of a plant, which


397 provides both physical support and a means of cell-to-cell communication (Zhang et al.


398 2021a). The composition and structure of cell walls should be tightly regulated to ensure


399 dynamic changes upon encountering environmental stimuli or to meet the needs of the rapidly


400 growing cells (Shao et al. 2018a; Zhang et al. 2021b). High salinity can disrupt cell wall


401 integrity, normal signaling, and nutritional functions (Dabravolski and Isayenkov 2023). In


402 the present study, some DEGs were significantly enriched in cell wall organization or


403 biogenesis in two birch species. Such results might support the viewpoint that plant cell wall


404 is the first line of defense against salt stimulus (Zhang et al. 2021a) and its status is constantly


405 monitored to optimize plant growth and development through influencing a series of stress


406 response mechanisms (Rui and Dinneny 2020). Moreover, we respectively found many genes


407 related to cell wall biosynthesis and encoding cell wall-localized glycoproteins down

408 regulated in _B. halophila_ and up-regulated in _B. platyphylla_, suggesting the occurrence of a


409 decreased cell wall biosynthesis in _B. halophila_ under salt stress. Previous study indicates that


410 a decreased cell wall biosynthesis may be a way for plants to adjust themselves to salt


17


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411 adaptation (Vaahtera et al. 2019; Ahmad et al. 2023). The defective cell wall biosynthesis


412 makes plants sensitive to salt stress (Zhang et al. 2020; Dabravolski and Isayenkov 2023),


413 which was opposite to our findings of leaves of _B. halophila_ with the supplement of 200 mM


414 NaCl solutions. It is assumed that halophytes and glycophytes probably have developed


415 independent molecular mechanisms to alleviate or eliminate the negative effects of salt stress


416 during the long-term evolutionary process.


417 Accumulating evidences indicate that phytohormones not only control plant growth,


418 development, and productivity under normal conditions but also mediate the sophisticated


419 crosstalk between salinity signals and plant growth adaptation (Yu et al. 2020). Unlike _B._


420 _halophila_, we found some genes relevant for hormone biosynthesis and signaling displaying


421 altered expressions in _B. platyphylla_, which was likely to imply the presence of postponed


422 hormonal biosynthesis and signaling pathways in leaves of _B. halophila_ supplemented by


423 high saline solutions. Generally speaking, plant hormone-related pathways activated at late


424 stage are beneficial for plants to assess the degree of salt tolerance and optimize resource


425 allocation (Verma et al. 2016). Halophytes can alleviate the detrimental effects caused by salt


426 exposure or re-schedule salt-sensitive developmental stages by the activation of hormonal


427 pathways at late stage (Zhao et al. 2020a). These findings indicated the abnormal hormone


428 biosynthesis and signaling could confer seedlings of _B. halophila_ to have strong adaptability


429 and plasticity in response to salt stress.


430 It is well documented that a wide range of genetic drivers governing salt stress signaling and


431 tolerance have been extensively studied in woody plants (Zhang et al. 2021b), we employed a


432 random forests algorithm to construct several GRNs responsible for decoding the molecular


433 mechanisms underpinning salt stress response of two birch species. In this shared GRN


434 between two birch species, we found nine genes homologous to _Arabidopsis_ genes associated


435 with salt stress response, signaling, and tolerance (Table 3), including _RD26_, _ANAC2_,


18


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436 _HSFB2B_, _EDL3_, _GALS1_, _KEA6_, _MKK9_, _NCED3_, and _PUB19_ . Researchers have


437 demonstrated that SRM1 ( _Salt-Related MYB1_ ) is a MYB-like transcription factor and plays a


438 negative role in seed germination under saline conditions by regulating the expression levels


439 of _RD26_ in _Arabidopsis_ (Wang et al. 2015). _ANAC2_ is well known as its function in


440 incorporating the salinity stimuli into plant lateral root developmental processes via ethylene


441 and auxin signaling pathways (He et al. 2005). In _Arabidopsis_, _HSFB2B_ represses a morning


442 clock gene _PSEUDO-RESPONSE REGULATOR 7_ ( _PRR7_ ), which functions as a key factor in


443 sustaining the circadian rhythm under high saline conditions (Kolmos et al. 2014). _EDL3_ is


444 presumed to act as a component of an ubiquitin ligase complex that specifically directs


445 negatively acting factors in ABA signaling to degradation via the proteasome, thereby


446 integrating hormone signal transduction towards salt injury (Koops et al. 2011). Galactan


447 synthesized by GALS1 can form the side chains of pectic rhamnogalacturonan I. The


448 excessive accumulation of galactan contributes to the improvement of _Arabidopsis_ plants’ salt


449 tolerance (Yan et al. 2023). In _Arabidopsis_, _histone deacetylase 15_ ( _HDA15_ ) over-expressed


450 transgenic plants exhibit strong salt tolerance by activating an ABA biosynthetic gene _NCED3_


451 (Truong et al. 2021). Under salt stress, one plant U-box armadillo repeat protein, _PUB19_, can


452 work together with _PUB18_ to inhibit seed germination in _Arabidopsis_ (Bergler and Hoth


453 2011). Expression of active _MKK9_ protein enhances the sensitivity of transgenic seedlings to


454 salt stress, whereas loss of _MKK9_ activity enhances salt tolerance (Xu et al. 2008), indicating


455 a role for _MKK9_ in mediating salt stress response (Xu et al. 2008; Shen et al. 2019; Liu et al.


456 2020). _KEA6_, belongs to _KEA_ family, works coordinately with KEA4, KEA5, _Na_ _&#91;+&#93;_ _/H_ _&#91;+&#93;_


457 _exchanger 5_ ( _NHX5_ ), and _NHX6_ to facilitate endosomal pH homeostasis and salt tolerance


458 (Zhu et al. 2018). In the present study, we randomly selected several genes and performed the


459 RT-qPCR assay to study their expression profiles under salt stress for 0 and 24 h. According


460 to the RT-qPCR results, _RD26_, _ANAC2_, _HSFB2B_, _EDL3_, and _GALS1_ could be activated or


19


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461 inhibited by 200 mM NaCl solutions in _B. platyphylla_ . We therefore proposed this shared


462 GRN relevant for unraveling how birch plants reacted to salt stress. Although ecological,


463 physiological, and genetic variations occurred between halophytes and glycophytes, they


464 appeared to share a set of genetic elements to alleviate and endure salt-induced phytotoxicity


465 in birch.


466 Under salt stress, halophytes can activate the expression levels of a large number of genes to


467 maintain the cellular and ionic homeostasis, which is inconsistent with glycophytes (Kumar et


468 al. 2024). In the GRN of _B. halophila_, seven genes were closely homologously to _Arabidopsis_


469 genes associated with salt stress response, signaling, and tolerance (Table 3), namely


470 _SnRK2.6/OST1_, _HAK5_, _NDL1_, _ANN4_, _ARR12_, _CIPK21_, and _LRX4_ . Given the importance of


471 these genes mentioned above in salt stress control in _Arabidopsis_ (Pandey et al. 2015; Kawa


472 et al. 2020; Zhao et al. 2020a; Gupta et al. 2021; Yan et al. 2021; Liu et al. 2023), it was


473 reasonably thought that our GRN was reliable for addressing the molecular mechanisms


474 underlying salt stress response in _B. halophila_ . Moreover, analysis of the GRNs constructed in


475 _B. platyphylla_ showed that two genes coding for _UXE1_ / _MUR4_ and _HIS1-3_ . Under high salt


476 conditions, _UXE1_ / _MUR4_ has a positive influence on UDP-arabinopyranose biosynthesis


477 during root development (Zhao et al. 2019). The disruption of one linker histone variant


478 _HIS1-3_ can enhance plants’ salt tolerance, leading to the benefits of regulating the


479 transcriptional levels of SOS (salt overly sensitive) genes (Wu et al. 2022). RT-qPCR results


480 showed that these two genes identified from our GRNs could be induced by 200 mM NaCl


481 solutions in _B. platyphylla_ . We therefore suggested that our GRNs in _B. platyphylla_ could


482 make a contribution to explaining the distinctive mechanisms of salt stress response from _B._


483 _halophila_ . These results further confirmed that during the long-term evolution, halophytes


484 have built diverse regulatory mechanisms to accommodate saline environments by


485 orchestrating the synthesis, signaling, and metabolism of various substances via multiple


20


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486 pathways (Volkov and Amtmann 2006; Cheeseman 2015; Zhao et al. 2021; Rahman et al.


487 2022; Wang et al. 2023), which exhibited the specific genetic features present in a halophytic


488 species in comparison with a closely related glycophytic species.

## 489 Conclusions


490 One important feature of halophytes is endowed with special morphological, anatomical, and


491 physiological characteristics as well as genetic regulatory networks to well grow and


492 reproduce in high saline soils. Accordingly, halophytes can be selected as a desirable model to


493 uncover the molecular mechanisms underlying salinity tolerance. In our study, the expression


494 patterns of genes in leaves of _B. halophila_ showed a similarity to roots of _B. platyphylla_ .


495 Genes significantly enriched in cell wall organization or biogenesis were detected in leaves of


496 _B. halophila_ and roots of _B. platyphylla_ . Genes related to hormone biosynthesis and signaling


497 were expressed at differential levels in _B. platyphylla_ . Moreover, we respectively revealed the


498 potential molecular mechanisms of salt stress response commonly and uniquely occurring in


499 two species. Our results could explain the salt-resistant variations at the molecular level


500 between _B. halophila_ and _B. platyphylla_, which can provide insights into the genetic control


501 of birch response to salt stress and offer some informative clues to the genetic improvement


502 of glycophytes’ salt tolerance.


21


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728

## 729 Table


730 Table 1 Primer sequences used for RT-qPCR assay.


731 Table 2 GO enrichment analysis of genes in each cluster divided by STEM software.


732 Table 3 Genes related to salt stress response differentially expressed in _B. halophila_ and _B._


733 _platyphylla_ .


734 Table 4 One inferred GRN relevant for salt stress response uniquely present in leaves of _B. halophila_ .


735 Table 5 One inferred GRN relevant for salt stress response uniquely present in leaves of _B._


736 _platyphylla_ .


737 Table 6 One inferred GRN relevant for salt stress response uniquely present in roots of _B. platyphylla._


738 Table 7 One inferred GRN relevant for salt stress response shared in different tissues of _B. halophila_


739 and _B. platyphylla_ .


740


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## 741 Figure legends


742 Fig. 1 Analysis of DEGs in _B. halophila_ and _B. platyphylla_ . a, Number of up-regulated and down

743 regulated genes in BHLeaf, BPLeaf, and BPRoot. b, GO enrichment analysis of DEGs in BHLeaf,


744 BPLeaf, and BPRoot. The 10 most represented GO terms are shown. c, Expression patterns of DEGs


745 significantly enriched in cell wall organization or biogenesis.


746 Fig. 2 Cluster analysis of DEGs detected in one or more tissues of _B. halophila_ and _B. platyphylla_ . The


747 expression levels were represented by log 2 FC.


748 Fig. 3 Analysis of DEGs uniquely identified in different tissues of _B. halophila_ and _B. platyphylla_ .


749 Details of these genes are listed in Table S3.


750 Fig. 4 Venn diagram analysis of DEGs among different tissues of two birch species.


751 Fig. 5 Analysis of DEGs uniquely present in _B. halophila_ or _B. platyphylla_ . a, Number of up-regulated


752 and down-regulated genes uniquely present in BHLeaf, BPLeaf, and BPRoot. b, GO enrichment of


753 DEGs uniquely present in BHLeaf, BPLeaf, and BPRoot. The 10 most represented GO terms are


754 shown. c, Inferred GRNs involved in salt stress response of two birch species. The connectivity of


755 gene to gene was screened by the threshold of weight values more than 0.01. The red circles


756 represented birch genes showing the closest homology to _Arabidopsis_ genes related to salt stress


757 reported in public articles. The black squares represented TFs.


758 Fig. 6 Analysis of shared DEGs between _B. halophila_ and _B. platyphylla_ . a, Expression patterns of


759 shared DEGs among BHLeaf, BPLeaf, and BPRoot. HD-ZIP, Homeodomain-leucine zipper


760 transcription factor; NAC, Petunia no apical meristem and ATAF1, ATAF2, and CUC2; ERF,


761 Ethylene response factor; bZIP, Basic region/leucine zipper motif transcription factor; Dof, DNA


762 binding with one finger transcription factor; MYB, Myeloblastosis; C2H2, Cys2His2-type zinc-finger


763 transcription factor; HSF, Heat shock transcription factor. b, Inferred GRN involved in salt stress


764 response commonly present in _B. halophila_ and _B. platyphylla_ . Genes homologous to _Arabidopsis_


765 genes related to salt stress signaling and tolerance were marked in blue.


766 Fig. 7 Expression profiles of candidate genes related to salt stress response in birch using RT-qPCR


767 assay.


768


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## 769 Tables 1-7 in supplementary materials


**Table 1 Primer sequences used for RT-qPCR assay.**


Gene ID (Gene name) Primer sequences (5'~3')


F: GTAAGCCTCAACTCGGTGC
_Bpev01.c0162.g0014 (RD26)_
R: CGAGTTATCGATCCGCTGAG


F: CGTGTACTTCGACACGTCGG
_Bpev01.c0088.g0098 (ANAC2)_
R: GGGCTTCTGCATGTACATGAAC


F: GGTGGCGGTGCACCGG
_Bpev01.c0278.g0038 (HSFB2B)_
R: GTACAGAAGCTCCGGTACCG


F: GACGGCAGGTAGCGCTGG
_Bpev01.c1292.g0002 (EDL3)_
R: CAATCACGCCGACCCCACC


F: CGCCGCCGCTCTGTTCGT
_Bpev01.c0480.g0073 (GALS1)_
R: CAGGGAAGGTGCAGTTGAC


F: GATCTCCGTCGTCGGAGC
_Bpev01.c1938.g0005 (KEA6)_
R: CACTGTTATTGAAGCCTCCAGC


F: GGCAGTTGTTCGAGAACGG
_Bpev01.c1798.g0004 (MKK9)_
R: CATAGAAAGCGCTGGTGCGC


F: GCTAAATTTTGGCAGGTCCAG
_Bpev01.c1966.g0003 (UXE1/MUR4)_
R: CCAATATAGCCAGCACCTCCTG


F: CGTACAAGCTCTCCCTGGTG
_Bpev01.c0022.g0007 (Histone H1-3)_
R: CGTACTCGCCTTCCTCTTCG


F: ATCTTGGGTTGGGCAGATCG



_FJ228477.1 (18S rRNA)_



R: CATTACTCCGATCCCGAAGG


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770


771 Fig. 1


&#91;bioRxiv preprint doi: https://doi.org/10.64898/2026.10.29.762967; this version posted November 2, 2026. The copyright holder for this preprint&#93;(https://doi.org/10.64898/2026.10.29.762967)

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


772


773 Fig. 2


774


&#91;bioRxiv preprint doi: https://doi.org/10.64898/2026.10.29.762967; this version posted November 2, 2026. The copyright holder for this preprint&#93;(https://doi.org/10.64898/2026.10.29.762967)

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


775


776 Fig. 3


777


&#91;bioRxiv preprint doi: https://doi.org/10.64898/2026.10.29.762967; this version posted November 2, 2026. The copyright holder for this preprint&#93;(https://doi.org/10.64898/2026.10.29.762967)

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


778


779 Fig. 4


780


&#91;bioRxiv preprint doi: https://doi.org/10.64898/2026.10.29.762967; this version posted November 2, 2026. The copyright holder for this preprint&#93;(https://doi.org/10.64898/2026.10.29.762967)

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


781


782 Fig. 5


783


&#91;bioRxiv preprint doi: https://doi.org/10.64898/2026.10.29.762967; this version posted November 2, 2026. The copyright holder for this preprint&#93;(https://doi.org/10.64898/2026.10.29.762967)

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


784


785 Fig. 6


786


&#91;bioRxiv preprint doi: https://doi.org/10.64898/2026.10.29.762967; this version posted November 2, 2026. The copyright holder for this preprint&#93;(https://doi.org/10.64898/2026.10.29.762967)

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


787


788 Fig. 7


