Jian Zhang, Xiaowen Zhang, Wentao Han, Xiao Fan, Yitao Wang, Dong Xu, Yan Zhang, Jian Ma, Chengwei Liang, Naihao Ye. Identification of genes under positive selection reveals evolutionary adaptation of Ulva mutabilis[J]. Acta Oceanologica Sinica, 2020, 39(10): 35-41. doi: 10.1007/s13131-020-1658-1
Citation: Jian Zhang, Xiaowen Zhang, Wentao Han, Xiao Fan, Yitao Wang, Dong Xu, Yan Zhang, Jian Ma, Chengwei Liang, Naihao Ye. Identification of genes under positive selection reveals evolutionary adaptation of Ulva mutabilis[J]. Acta Oceanologica Sinica, 2020, 39(10): 35-41. doi: 10.1007/s13131-020-1658-1

Identification of genes under positive selection reveals evolutionary adaptation of Ulva mutabilis

doi: 10.1007/s13131-020-1658-1
Funds:  The National Key Research and Development Program of China under contract No. 2016YFC1402102; the Central Public-interest Scientific Institution Basal Research Fund, CAFS under contract Nos 2020TD19 and 2020TD27; the Major Scientific and Technological Innovation Project of Shandong Provincial Key Research and Development Program under contract No. 2019JZZY020706; the National Natural Science Foundation of China under contract No. 31770393; the Earmarked Fund for China Agriculture Research System under contract No. CARS-50; the Taishan Scholars Funding of Shandong Province.
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  • Corresponding author: E-mail: liangchw117@126.comyenh@ysfri.ac.cn
  • Received Date: 2019-09-05
  • Accepted Date: 2020-04-20
  • Available Online: 2020-12-28
  • Publish Date: 2020-10-25
  • Ulvophytes are attractive model systems for understanding the evolution of growth, development, and environmental stress responses. They are untapped resources for food, fuel, and high-value compounds. The rapid and abundant growth of Ulva species makes them key contributors to coastal biogeochemical cycles, which can cause significant environmental problems in the form of green tides and biofouling. Until now, the Ulva mutabilis genome is the only Ulva genome to have been sequenced. To obtain further insights into the evolutionary forces driving divergence in Ulva species, we analyzed 3 905 single copy ortholog family from U. mutabilis, Chlamydomonas reinhardtii and Volvox carteri to identify genes under positive selection (GUPS) in U. mutabilis. We detected 63 orthologs in U. mutabilis that were considered to be under positive selection. Functional analyses revealed that several adaptive modifications in photosynthesis, amino acid and protein synthesis, signal transduction and stress-related processes might explain why this alga has evolved the ability to grow very rapidly and cope with the variable coastal ecosystem environments.
  • Green algae especially ulvophytes are attractive model systems for understanding growth, development, and evolution (Cocquyt et al., 2010), and are key to understand the evolution of multicellularity in the green lineage (Wichard et al., 2015). These algae are also key contributors to coastal biogeochemical cycles, especially to the marine sulfur cycles, because they produces high levels of dimethylsulfoniopropionate, the main precursor of volatile dimethyl sulfide (Van Alstyne, 2008). Their rapid and abundant growth makes them untapped resources for food, fuel, and high-value compounds, but they also lead to significant environmental consequences in the form of green tides and biofouling (Vesty et al., 2015; Smetacek and Zingone, 2013). In recent years, green tides have received increasing attention because of well-publicized blooms in China and France. Massive green tides caused mainly by Ulva prolifera have occurred successively for 13 years (2007–2019) in the Yellow Sea coastal region of China (Zhang et al., 2019). Blooms of Ulva species have occurred in Brittany, France since the 1980s where they accumulate to depths of up to one meter (Charlier et al., 2006).

    Unlike land plants and unicellular green algae, mechanism studies of growth and development at the molecular level in multicellular green seaweeds are currently very limited. Until now, only one Ulva genome, that of Ulva mutabilis, has been sequenced. Ulva mutabilis is a ubiquitous representative of class Ulvophyceae (De Clerck et al., 2018). The U. mutabilis genome sequence provides opportunities to understand the fundamental evolution of the Ulva green lineage.

    Detection of genes or genomic regions that have been targeted by positive selection can help to understand the processes of evolution and adaptation (Jensen and Bachtrog, 2010). In this study, we performed a genome-wide analysis to detect genes under positive selection (GUPS) in U. mutabilis. We used single-copy orthologous families (n=3 905) present in U. mutabilis, Chlamydomonas reinhardtii, and Volvox carteri. Chlamydomonas reinhardtii and V. carteri were used as out groups to identify signatures of positive selection in U. mutabilis. Our results shed light on the adaptive evolution of functional genes in Ulva species and revealed how they have diverged to thrive under various environmental conditions.

    To explore the role of positive selection in the adaptive patterns of U. mutabilis, protein-coding sequences were downloaded from the website https://bioinformatics.psb.ugent.be/orcae/overview/Ulvmu. We chose C. reinhardtii and V. carteri as the out groups and their coding sequences were acquired from JGI. We selected v5.6 version of C. reinhardtii and v2.1 of V. carteri among various versions.

    Furthermore, to define a set of conserved genes for cross-taxa comparison, we employed Orthofinder (v2.3.3) to search homologous genes of three species based on nucleotide sequence (Emms and Kelly, 2015). The lengths under 150 bp of sequences were discarded and stop codons were removed from the sequences prior to alignment.

    Alignment of these proteins was performed using mafft (v7) (Nakamura et al., 2018). Codon alignments were generated using the protein sequence alignments as a guide by PAL2NAL (Suyama et al., 2006). All gaps in alignment were cut off in order to alleviate the effect of ambiguous bases on the inference of positive selection, and all sequence alignment results were saved as PAML format (Suyama et al., 2006).

    The ratio of non-synonymous (dN) to synonymous (dS) nucleotide substitutions (dN/dS) ω provides information about the evolutionary forces operating on a gene (Biswas and Akey, 2006). If there is no environmental pressure, gene are in neutral selection by an ω=1. If dN is beneficial for organisms, genes are under positive selection which ω>1. On the contrary, genes are in purifying selection with ω<1 (Yang, 2007).

    Firstly, to calculate specific branch of each gene family in the three species’s evolutionary rates, the codeml program in the PAML (v4.9) package with the free-ratio model (M=1) was operated on each orthogroups (Yang, 2007). The user tree was assumed to be [(U. mutabilis), (C. reinhardtii, V. carteri)] for all genes. We filtered dS>3 or dN/dS>3 to eliminate the effect of outliers. Significance of the deviations from the median dN/dS ratio between three species branches were detected using Wilcoxon rank sum test. As free-ratio model calculates the values of different branches without test, we then used branch model (M=2) of Codeml program in the PAML package to calculate ω of the foreground branch U. mutabilis. The null model (M=0), in which one ω value was assumed for all branches, was used for likelihood ratio test (LRT) to identify genes of ω>1.

    However, for single copy genes, most of codon sites in the branch are supposed to be highly conserved to maintain protein function (Swift et al., 2016). So there must be a lot of sites that are less than 1. Therefore, we attempt to determine positive selection sites in each gene. We then used site-specific model which assumes that selection pattern varies among sites in the alignment but not among branches in the phylogeny. We used a pair of site model comparisons to test for positive selection (M7 vs. M8). LRT was performed to test which model fits the data best. We used chi-square test with the degrees of freedom of two to calculate twice the difference in log-likelihood values between the models. Using the p.adjust function in fdrtool R package, the FDR correction was applied to the P values with a significance level of 0.05 (Bakewell et al., 2007; R Development Core Team, 2014).

    Finally, to find positive selection evidence of specific sites in specific lineage, the improved branch-site model A (model=2, Nsites=2, fixed omega=0, omega=2) and null model (model=2, Nsites=2, fixed omega=1, omega=1) was used, which was proven to be more sensitive than branch model or site model (Yang and Reis, 2011). We selected the U. mutabilis branch as the foreground branch with the C. reinhardtii and V. carteri as background branches. All gaps in alignment were cut off in order to alleviate the effect of ambiguous bases on the inference of positive selection. Each single-copy gene family runs both model A and null models. Then based on the results of the two models, we used likelihood ratio test (LRT) with a chi square distribution in one degree of freedom to determine whether there are positive selections at a threshold of P<0.05. If model A fits adapts the data, then we used the paml data to find out whether there are positive selection sites and sites was significant or not.

    To identify the physiological processes involved by Genes Under Positive Selection of U. mutabilis, NCBI non-redundant protein (Nr), Protein family (Pfam) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways annotation was performed. The website https://www.genome.jp/tools/kaas/ was used to find KEGG pathways, and the KOBAS (v3.0) (Xie et al., 2011) was used to test the statistical enrichment of PSGs in KEGG pathways (Kanehisa and Goto, 2000).

    We found 5 252 homologous gene families in the genomes of U. mutabilis, C. reinhardtii, and V. carteri, and among them, 3 925 were single-copy homologous gene families. After discarding sequences <150 bp in length, the remaining sequences (n=3 905) were analyzed further. There were also 1 336 amplified gene families and 120, 410, and 482 species-specific expansion homologous gene families in U. mutabilis, C. reinhardtii, and V. carteri, respectively.

    We constructed a species phylogenetic tree and used it for the positive selection analysis of each single-copy homologous gene families. Under the branch model, we found that the ratio of non-synonymous (dN) to synonymous (dS) changes (dN/dS ratio) was mainly in the range 0–0.2 in all three species, suggesting strong purifying selection for the single-copy genes (Fig. 1). The median of the dN/dS ratio in U. mutabilis (0.378) was significantly higher than that in the other two species (0.127 and 0.161) (Fig. 1). The frequency distribution of dN/dS ratios clearly showed that U. mutabilis had more genes with high dN/dS ratios (dN/dS>0.4) than the other species (Fig. 2). We also compared the two-ratio and one-ratio models using the likelihood ratio test (LRT) and found that nine GUPS in U. mutabilis genes (Table 1).

    Figure  1.  Comparision of dN/dS among U. mutabilis, C. reinhardtii and V. carteri. Significance of the deviations was calculated by using Wilcoxon rank sum test.
    Figure  2.  Frequency distributions of ω among U. mutabilis, C. reinhardtii and V. carteri under free-radio model (M=1). The distribution of frequency is the ratio of the specified range numbers to the total numbers of ω.
    Table  1.  Statistics of genes under positive selection (GUPS)
    ComparisonU. mutabilisC. reinhardtiiV. carteri
    Branch model
    Free-radio model
    Mean ω0.3780.1270.161
    Two-radio model
    Number of GUPS (1<ω<3) 9
    Site model
    Number of GUPS242
    Number of GUPS (FDR<0.05)237
    Number of GUPS (PP>0.9) 30
    Branch-site model
    Number of GUPS67
    Number of GUPS (FDR<0.05)63
    Number of GUPS (PP>0.9)46
     | Show Table
    DownLoad: CSV

    The random-site model, which ignores ω variation among lineages, was used to identify sites in genes that were targets of positive selection. After the LRT analysis, we detected 242 orthologous GUPS. Then we used a false discovery rate (FDR) of 5% to exclude false positive selection, and finally obtained 236 candidate GUPS and 30 of them were prominent (posterior probability (PP) >0.9). We used KEGG pathways to annotate the genes and 53 of them were assigned to pathways. Three pathways were highly enriched, namely ribosome in genetic information processing (p=0.002), photosynthesis-antenna proteins in energy metabolism (p=0.01), and phagosome in transport and catabolism (p=0.045).

    Finally, we used the branch-site model to detect evidence of positive selection in U. mutabilis. A total of 67 GUPS were identified with chi-square distribution values higher than the critical value of 3.84. After the FDR correction, 63 genes were found to be significant. Then the Bayes empirical Bayes (BEB) approach was applied to calculate the posterior probabilities (PP) to identify significant GUPS with p<0.05 and PP>0.9, and a total of 46 genes were selected. Further, we determined proprietary positive selection sites and found 627 (PP>0.9) and 150 (PP>0.99) positively selected sites in the 46 genes. The distribution of KEGG classification of the 63 GUPS showed that three categories of pathways were common for all the genes (Table 2). Among them, metabolic processes were the most enriched, including amino acid metabolism (3), energy metabolism (2, photosynthesis), metabolism of cofactors and vitamins (2, ubiquinone and riboflavin biosynthesis), nucleotide metabolism (2, purine metabolism), metabolism of terpenoids and polyketides (2, chlorophyll an+++d carotenoid biosynthesis), carbohydrate metabolism (1), and lipid metabolism (1), followed by genetic information processing with nine GUPS that were mainly involved in ribosome biogenesis, translation, and folding. The third most enriched category had six GUPS that were mainly involved in environmental information processing (phosphatidylinositol signaling system and MAPK signaling pathway), signaling and cellular processes (chromosome and cytoskeleton proteins), and mineral absorption (copper transporter).

    Table  2.  Positive selected genes in U. mutabilis
    Protein IDχ2p-valueNrKEGG
    UM051_0030.13.6490320.049775photosystem I reaction center subunit VI-chloroplastic-likephotosynthesis
    UM041_0034.13.8667480.04925220S proteasome beta subunitproteasome
    UM025_0090.13.8751970.049005transcription factor Tfb4basal transcription factors
    UM020_0175.13.89080.048551cyclophilin-like protein
    UM017_0023.13.906560.048098type I inositol polyphosphate 5-phosphatase 1-like isoform X1
    UM061_0055.13.929710.04744spermatogenesis-associated protein 4
    UM020_0022.13.9433460.047057MATE efflux family
    UM011_0045.13.9528120.046793adenosine/AMP deaminase family proteinmetabolic pathways
    UM015_0094.13.965940.04643SET domain-containing protein
    UM002_0196.13.9863820.045869tetratricopeptide repeat protein
    UM059_0039.13.9881280.045822SET domain-containing protein
    UM005_0194.14.0295120.044711metallo-hydrolase oxidoreductase
    UM119_0020.14.0355820.04455dynein light chain, type 1
    UM110_0011.14.0768860.043474riboflavin biosynthesis chloroplasticriboflavin metabolism
    UM009_0042.14.0894560.043152flavo protein
    UM119_0008.14.0967260.042966indole-3-glycerol-phosphate synthase
    UM001_0277.14.1215020.042341la-related protein 1A-like
    UM003_0103.14.1759420.041002chlorophyll a-b binding protein of LHCIIphotosynthesis-antenna protein
    UM075_0040.14.1930480.04059Sac domain-containing phosphoinositide phosphatase
    UM020_0063.14.2717420.03875150S ribosomal protein L3-1, chloroplasticribosome
    UM101_0006.14.3183660.037703tubulin-tyrosine ligase
    UM002_0307.14.3570320.036856nucleotide-diphospho-sugar transferase domain
    UM033_0058.14.3993160.035953vacuolar fusion protein MON1 homolog isoform X2
    UM022_0088.14.4286820.03534DUF455 family
    UM004_0158.14.4484740.034932integral membrane protein TerC, riboswitch-linked
    UM001_0470.14.4590380.034717WD repeat-containing protein 6 isoform X1
    UM004_0249.14.519360.033513ABC transporter F family member-like
    UM095_0035.14.5197160.033506ubiquinone biosynthesis protein, partial
    UM019_0140.14.5525780.03286940S ribosomal protein S8ribosome
    UM100_0037.14.6161520.031672hypothetical protein
    UM133_0013.14.6190280.031619Reticulata-related chloroplastic-like
    UM077_0057.14.6433080.031175IMPACT isoform X1
    UM005_0088.14.644280.031157thylakoid lumenal protein
    UM005_0011.14.6477320.031095RNA polymerase II-associated factor 1-like protein
    UM007_0229.14.6713240.03067sorting nexin 2a
    UM035_0106.14.8618680.027457ribosome 60S biogenesis N-terminal-domain-containing protein
    UM098_0047.14.8800340.027169phospholipase A I-like isoform X2
    UM040_0040.14.9334320.026342CUE domain-containing protein
    UM057_0023.15.0002680.025343COMPASS-like H3K4 histone methylase component WDR5A
    UM085_0051.15.0808840.024191GPI inositol-deacylase PGAP1-like isoform B
    UM062_0033.15.2422240.022045argininosuccinate synthasealanine, aspartate metabolism
    UM014_0155.15.3999280.020138polysulfide reductase
    UM066_0033.15.463810.019414epsilon-COP
    UM020_0154.15.5386920.0186transcription factor bHLH34
    UM066_0060.15.5422580.018563L-isoaspartate(D-aspartate) O-methyltransferase
    UM041_0094.15.618810.017769prephenate dehydratasebiosynthesis of amino acids
    UM051_0040.15.6200240.017756centrosomal protein of 78 kDa
    UM047_0010.15.7628860.016368phosphatidate phosphatase PAH1 isoform X1glycerophospholipid metabolism
    UM002_0428.15.8800340.015314PREDICTED: nuclear-interacting partner of ALK isoform X1
    UM020_0144.16.0012380.014296kinesin light chain 3 isoform X1
    UM028_0126.16.0714720.013738glycine cleavage system H protein, mitochondrialglycine, serine and threonine metabolism
    UM023_0033.16.1193120.013371adenylyl cyclase class-3/4/guanylyl cyclasepurine metabolism
    to be continued
     | Show Table
    DownLoad: CSV

    Besides the single-copy gene families, we also conducted a positive selection analysis of the 120 U. mutabilis-specific amplified gene families (Table 3). Only two of these gene families were identified as under positive selection under the branch model, whereas 37 and 13 gene families were found under positive selection using the site and branch-site models respectively. These genes were annotated with KEGG pathways, including biosynthesis of amino acids, carbon fixation in photosynthesis, ubiquitin mediated proteolysis, peroxisome, pyrimidine metabolism, spliceosome, protein export, and protein processing in endoplasm. The specific function of these amplified gene families was listed by searching Nr and Pfam databases.

    Table  3.  Positive selected gene families that amplified in U. mutabilis
    ModelGene IDFunction description in Nr
    and Pfam database
    Gene IDFunction description in Nr
    and Pfam database
    Branch-model UM011_0230.1 p25-alpha UM068_0038.1 polyketide cyclase/dehydrase and lipid transport
    UM011_0231.1 UM094_0042.1
    Site-model UM031_0027.1 glucokinase UM005_0209.1 aminotransferase class I and II
    UM031_0028.1 UM005_0214.1
    UM146_0032.1 N2, N2-dimethylguanosine tRNA methyltranse UM008_0174.1 hypothetical protein
    UM146_0033.1 UM281_0004.1
    UM013_0057.1 Dor1-like family UM100_0006.1 chloroplastic isoform
    UM060_0118.1 UM100_0007.1
    UM049_0058.1 ubiquitin-conjugating enzyme UM018_0136.1 peptidase family M41
    UM058_0003.1 UM020_0045.1
    UM012_0017.1 protein kinase domain UM015_0045.1 protein tyrosine kinase
    UM149_0036.1 UM015_0046.1
    UM093_0008.1 recA bacterial DNA recombination protein UM001_0125.1 ubiquitin-specific protease
    UM093_0026.1 UM001_0129.1
    UM005_0351.1 cytochrome C biogenesis protein UM001_0491.1 FAD dependent oxidoreductase
    UM077_0032.1 UM001_0492.1
    UM010_0035.1 TCP-1/cpn60 chaperonin UM002_0402.1 DNL zinc finger
    UM011_0180.1 UM018_0127.1
    UM011_0077.1 hypothetical protein UM037_0017.1 protein of unknown function (DUF3250)
    UM011_0096.1 UM037_0018.1
    UM037_0056.1 no hit UM034_0001.1 FKBP-type peptidyl-prolyl cis-trans isomerase
    UM044_0086.1 UM034_0003.1
    UM009_0050.1 CobW/HypB/UreG, nucleotide-binding domain UM008_0173.1 WD domain, G-beta repeat
    UM092_0039.1 UM281_0003.1
    UM069_0030.1 carbamoyl-phosphate synthase small chain, CPSase domain UM015_0020.1 cation efflux family
    UM309_0004.1 UM026_0097.1
    UM043_0048.1 aminotransferase class I and II UM012_0077.1 no hit
    UM057_0008.1 UM131_0006.1
    UM001_0588.1 plasma-membrane choline transporter UM001_0573.1 Sec63 Brl domain
    UM001_0591.1 UM002_0245.1
    UM035_0019.1 TIP41-like family UM003_0004.1 ATP12 chaperone protein
    UM035_0020.1 UM047_0029.1
    UM010_0149.1 TspO/MBR UM007_0020.1 ABC transporter
    UM010_0150.1 UM139_0019.1
    UM012_0035.1 Hsp70 protein UM008_0176.1 enoyl-(acyl carrier protein) reductase
    UM012_0036.1 UM281_0001.1
    UM018_0002.1 RNA methyltransferase UM103_0009.1 no hit
    to be continued
     | Show Table
    DownLoad: CSV

    Orthologs are genes that have evolved from a common ancestral gene via speciation. To investigate the selective pressures at the branch level in U. mutabilis and related species, we estimated the substitution rates for each orthogroup. The median of the dN/dS ratio in U. mutabilis was significantly larger than that in C. reinhardtii and V. carteri, which strongly supported the accelerated evolution of U. mutabilis after splitting from its ancestral lineage (Fig. 1). The accelerated evolution of genes is often driven by positive selection or relaxed selection pressure. Green macroalgae mostly belong to class Ulvophyceae, the main multicellular branch of class Chlorophyceae, and constitute important primary producers of coastal ecosystems (Wichard et al., 2015). Fluctuating environmental conditions, characterized by intense stresses such as extreme temperatures, rapid salinity and nutrient changes, desiccation, and intense sunlight, are major inducers in the evolution of intertidal macroalgae (Kakinuma et al., 2006). We speculated that the high evolutionary rate in U. mutabilis is due mainly to positive selection rather than relaxed selection pressure.

    Photosynthesis genes have been fine-tuned over billions of years as a result of natural selection (Niinemets et al., 2017). Two genes related to the photosynthetic apparatus were identified to be under adaptive evolution, supporting the idea that Ulva species may have evolved to maintain photosynthetic efficiency under tidal environments. The thylakoid membrane-integral light-harvesting complex (LHC) antenna systems, which are encoded by a multigene family of LHC genes, play important roles in regulating energy flow to photosynthetic reaction centers (Neilson and Durnford, 2010). The LHC systems harvest and transfer excitation energy to drive photosynthesis. However, under excess light conditions, they undergo a conformational change and activate a quenching state to dissipate energy in order to protect the photosystem. In our analysis, an LHCII gene, encoding a light harvesting protein in photosystem II, was found to be under adaptive evolution in U. mutabilis. Evidence of adaptive evolution in U. mutabilis photosynthetic apparatus also was found in photosystem I reaction center subunit VI. This result is in accordance with a previous study that found that the Ulva photosystem I had higher tolerance to osmotic stress than photosystem II, and that PSI-driven cyclic electron flow allowed Ulva species to survive in desiccated conditions (Gao et al., 2014, 2011, 2015).

    Signatures of adaptive evolution were identified in antioxidant systems, including xanthophyll cycle (Xc) and photorespiration. The Xc involves violaxanthin de-epoxidase (VDE) and the zeaxanthin epoxidase (ZEP) and is one of the most rapid and efficient photoprotection mechanisms of plant and algae to high irradiance (Zhang et al., 2015; Xie et al., 2013). The photoprotection mechanism of non-photochemical quenching in Ulva linza was shown to be controlled to a great extent by Xc, which is more similarity to the mechanism in Arabidopsis than to that in Chlamydomonas (Zhang et al., 2015). In addition, VDE and ZEP were found to be permanently operating to maintain the dynamic between lipid and LHCII subunits under moderate light conditions in Ulva species (Xie et al., 2013). The retained Xc pigments regulated the fluidity of the thylakoid membrane, protected the thylakoid membrane from oxidative damage, and reduced potential production of reactive oxygen species (ROS) by consuming oxygen that is introduced into zeaxanthin by ZEP (Xie et al., 2013). The permanent cycling of Xc pigments in the regulation of membrane fluidity and reduction of the dioxygen level was found to be important for Ulva survival under both excess light and desiccation (Gao et al., 2015). The adaptive evolution of the ZEP gene in U. mutabilis found in our analysis further confirmed the essential function of Xc for the successful colonization in coastal ecosystems by Ulva species.

    Photorespiration is an important mechanism that protects cells from photooxidative damage by regulating energy demand and oxygen consumption (Wingler et al., 2000). In addition, photorespiratory glycine facilitates the accumulation of glutathione to protect the photosynthetic components (Noctor et al., 1999). We found one gene encoding mitochondrial glycine cleavage system H protein that participates in photorespiration was under adaptive evolution. This result indicates that photorespiration may be enhanced in Ulva species to minimize production of ROS in the chloroplasts and mitigate oxidative damage under costal stress conditions.

    Ulva species are known for their rapid growth, proliferation, and phenotypic plasticity. In our study, evidence of positive selection was found in genes associated with chlorophyll, purine, cellulose, amino acid, and protein biosynthesis processes that may be related to the proliferation of Ulva species. Besides the light harvesting LHCII, the gene encoding geranylgeranyl reductase, which is involved in chlorophyll synthesis, was under positive selection in U. mutabilis. Both these two genes play essential roles in photosynthesis and therefore growth. However, fast growth can be achieved only if the photosynthetic production of ATP, NADPH, and organic carbon is in balance with anabolism (Teng et al., 2017). The presence of GUPS associated with nucleic acid, protein, and cell wall polysaccharide biosynthesis suggested that selection also affected the speed at which photosynthetic products were transformed into biomass. Genes encoding adenosine deaminase and adenylyl cyclase class-3/4/guanylyl cyclase participate in purine metabolism and the latter also can generate cGMP, which is an important secondary messenger in signal transduction systems. Besides, the GUPS encoding RNA polymerase II-associated factor and La-related protein participate in RNA synthesis. Among these genes, we detected a gene that encodes the nucleotide-diphospho-sugar transferase domain, which is the catalytic subunit of cellulose synthase that functions in cell wall synthesis. The signatures of adaptive evolution were found in several genes involved in rRNA processing (ribosomal proteins), translation (transcription factors, tubulin-tyrosine ligase), folding (cyclophilin), and transport (clathrin light chain, vacuolar fusion protein, sorting nexin), indicating that adaptive evolution was associated with the regulation of protein synthesis. Ribosomes are essential for protein synthesis in all living cells and play a distinct role in photosynthesis, plant development, and stress tolerance (Zhang et al., 2016).

    Inositol phospholipids have long been known to have an important regulatory role in cell physiology. Besides classical signal transduction at the cell surface, they also regulate membrane traffic, the cytoskeleton, nuclear events, and the permeability and transport functions of membranes (Di Paolo and De Camilli, 2006). Three genes encoding inositol polyphosphate 5-phosphatase, phospholipase A, and phosphoinositide phosphatase, which participate in the phosphatidylinositol signaling system, were found to be under adaptive evolution in U. mutabilis. We propose that the phosphatidylinositol signaling system may play important roles in the stress adaptation, complex morphology formation, and rapid growth of Ulva species.

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