宽叶苔草WRKY家族成员生物信息学分析与耐旱基因挖掘

doi:10.3969/j.issn.1004-1524.20241128

浙江农业学报 ›› 2025, Vol. 37 ›› Issue (10): 2087-2103.DOI: 10.3969/j.issn.1004-1524.20241128

宽叶苔草WRKY家族成员生物信息学分析与耐旱基因挖掘

崔博文(), 张思懿, 王佳玲, 王竞红, 蔺吉祥, 杨青杰()

东北林业大学园林学院,黑龙江哈尔滨 150040

收稿日期:2024-12-30 出版日期:2025-10-25 发布日期:2025-11-13
作者简介:崔博文(1999—),男,黑龙江哈尔滨人,硕士,研究方向为园林植物栽培育种。E-mail:cuibowen1999@163.com
通讯作者: *杨青杰,E-mail:qingjieyang@nefu.edu.cn
基金资助:
国家自然科学基金(32072666);国家重点研发计划青年科学家项目(2023YFF1305800)

Bioinformatics analysis and drought-tolerant gene mining of WRKY family members in Carex siderosticta

CUI Bowen(), ZHANG Siyi, WANG Jialing, WANG Jinghong, LIN Jixiang, YANG Qingjie()

College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China

Received:2024-12-30 Online:2025-10-25 Published:2025-11-13

摘要/Abstract

摘要： 为深入研究WRKY转录因子在干旱和丛枝菌根(AM)处理下的生物学功能,本研究对接种AM真菌和干旱胁迫的宽叶苔草(Carex siderosticta)进行转录组学测序,鉴定宽叶苔草WRKY(CsWRKY)基因家族成员,分析其理化性质、蛋白质二级结构、保守基序与表达模式等,结合qRT-PCR验证,挖掘与干旱胁迫相关的候选WRKY基因。结果表明,共获得41个CsWRKY基因家族成员,划分为3类,组1有7个,组2有24个,组3有10个。CsWRKY基因家族成员的氨基酸数为99~1 052,理论等电点为4.83~9.84,亲水性系数均为负值,表明均为亲水蛋白。GO注释富集于转录调控、代谢过程调控、生物合成过程调控3大类功能。KEGG通路主要富集于植物MAPK信号通路、植物-病原互作、转录因子3个通路。接种AM后,26个CsWRKY基因表达上调,12个下调。结合转录组数据与同源比对,筛选出13个可能参与干旱响应的CsWRKY候选基因。qRT-PCR分析表明,10个候选基因受干旱胁迫诱导,可能发挥正调控作用;另3个候选基因受干旱胁迫抑制,可能发挥负调控作用。本研究为解析宽叶苔草抗旱机制提供了候选基因资源与理论依据。

关键词: 宽叶苔草, WRKY基因家族, 生物信息学, 干旱胁迫, 丛枝菌根

Abstract:

To explore the biological functions of WRKY transcription factor under drought stress and arbuscular mycorrhizal (AM) fungal influence, transcriptome sequencing was performed on Carex siderosticta inoculated with AM fungi and simultaneously subjected to drought stress. Members of the C. siderosticta WRKY (CsWRKY) gene family were identified, and their physicochemical properties, protein secondary structures, conserved motifs and expression patterns were analysed; candidate genes related to drought stress were screened and verified by qRT-PCR. In total, 41 CsWRKY genes were obtained and classified into three groups: group 1 had 7 members, group 2 had 24 members, and group 3 had 10 members. The encoded proteins contained 99-1 052 amino acids, with theoretical isoelectric points of 4.83-9.84; all members were hydrophilic proteins with negative hydrophilicity values. Gene Ontology (GO) annotation showed enrichment in three major biological functions: transcriptional regulation, regulation of metabolic processes, and regulation of biosynthetic processes. KEGG pathway analysis revealed significant enrichment in the plant MAPK signaling pathway, plant-pathogen interaction, and transcription factors related pathways. After AM fungal inoculation, 26 CsWRKY genes were up-regulated and 12 were down-regulated. By integrating transcriptomic data and homologous alignment, 13 CsWRKY genes were selected as potential participants in drought response. qRT-PCR demonstrated that 10 of these candidates were induced by drought, suggesting positive regulatory roles, whereas three were repressed, implying negative regulatory roles. This study provides valuable candidate genes and a theoretical basis for further investigation of drought-tolerance mechanisms in C. siderosticta.

Key words: Carex siderosticta, WRKY gene family, bioinformatics, drought stress, arbuscular mycorrhizal

中图分类号:

S688.4

崔博文, 张思懿, 王佳玲, 王竞红, 蔺吉祥, 杨青杰. 宽叶苔草WRKY家族成员生物信息学分析与耐旱基因挖掘[J]. 浙江农业学报, 2025, 37(10): 2087-2103.

CUI Bowen, ZHANG Siyi, WANG Jialing, WANG Jinghong, LIN Jixiang, YANG Qingjie. Bioinformatics analysis and drought-tolerant gene mining of WRKY family members in Carex siderosticta[J]. Acta Agriculturae Zhejiangensis, 2025, 37(10): 2087-2103.

图/表 13

参考文献 43

[1]	HUANG J P, YU H P, DAI A G, et al. Drylands face potential threat under 2 ℃ global warming target[J]. Nature Climate Change, 2017, 7(6): 417-422.
[2]	马住国, 符淙斌, 杨庆, 等. 关于我国北方干旱化及其转折性变化[J]. 大气科学, 2018, 42(4): 951-961.
	MA Z G, FU C B, YANG Q, et al. Drying trend in Northern China and its shift during 1951-2016[J]. Chinese Journal of Atmospheric Sciences, 2018, 42(4): 951-961.
[3]	陈兰兰, 王丽, 吴亚娟, 等. 植物响应干旱胁迫的分子和微生态机制[J/OL]. 分子植物育种, 2023: 1-15. [2024-12-10]. https://kns.cnki.net/kcms/detail/46.1068.S.20230406.1634.006.html.
	CHEN L L, WANG L, WU Y J, et al. Molecular and microecological mechanisms of plant responses to drought stress[J/OL]. Molecular Plant Breeding, 2023: 1-15. [2024-12-10]. https://kns.cnki.net/kcms/detail/46.1068.S.20230406.1634.006.html. (in Chinese with English abstract)
[4]	刘晨, 徐浩博, 斯钰阳, 等. 基于转录组学的植物响应盐胁迫调控机制研究进展[J]. 浙江农业学报, 2022, 34(4): 870-878.
	LIU C, XU H B, SI Y Y, et al. Research progress on regulation mechanism of plant response to salt stress based on transcriptomics[J]. Acta Agriculturae Zhejiangensis, 2022, 34(4): 870-878. (in Chinese with English abstract)
[5]	陈丽飞, 李嘉峻, 刘云怡慧, 等. 干旱胁迫下大苞萱草WRKY基因家族成员鉴定及生物信息学分析[J]. 河南农业科学, 2023, 52(2): 113-123.
	CHEN L F, LI J J, LIU Y, et al. Identification and bioinformatics analysis of WRKY gene family members in Hemerocallis middendorffii under drought stress[J]. Journal of Henan Agricultural Sciences, 2023, 52(2): 113-123. (in Chinese with English abstract)
[6]	WU K L. The WRKY family of transcription factors in rice and Arabidopsis and their origins[J]. DNA Research, 2005, 12(1): 9-26.
[7]	EULGEM T, RUSHTON P J, ROBATZEK S, et al. The WRKY superfamily of plant transcription factors[J]. Trends in Plant Science, 2000, 5(5): 199-206.
[8]	BABITHA K C, RAMU S V, PRUTHVI V, et al. Co-expression of AtbHLH17 and AtWRKY28 confers resistance to abiotic stress in Arabidopsis[J]. Transgenic Research, 2013, 22(2): 327-341.
[9]	张亚萱, 李洪臣, 李丽华, 等. 烟草转录因子NtWRKY65在响应干旱胁迫中的功能研究[J]. 江苏农业科学, 2025, 53(4): 225-233.
	ZHANG Y X, LI H C, LI L H, et al. Functional analysis of transcription factor NtWRKY65 in tobacco under drought stress[J]. Jiangsu Agricultural Sciences, 2025, 53(4): 225-233. (in Chinese with English abstract)
[10]	宋娟, 吴祝华, 王靖涵, 等. 丛枝菌根真菌对NaCl胁迫和非胁迫下拟南芥相关指标的影响[J]. 植物资源与环境学报, 2024, 33(6): 113-116.
	SONG J, WU Z H, WANG J H, et al. Effects of arbuscular mycorrhizal fungi on relative indexes of Arabidopsis thaliana under NaCl stress and non-stress[J]. Journal of Plant Resources and Environment, 2024, 33(6): 113-116. (in Chinese with English abstract)
[11]	QUIROGA G, ERICE G, AROCA R, et al. Elucidating the possible involvement of maize aquaporins and arbuscular mycorrhizal symbiosis in the plant ammonium and urea transport under drought stress conditions[J]. Plants, 2020, 9(2): 148.
[12]	SHANG P P, ZHENG R C, LI Y D, et al. Effect of AM fungi on the growth and powdery mildew development of Astragalus sinicus L. under water stress[J]. Plant Physiology and Biochemistry, 2025, 219: 109422.
[13]	钟陈佺. 崖棕抗细菌化学活性成分研究[D]. 杨凌: 西北农林科技大学, 2019.
	ZHONG C Q. Studies on the anti-bacterial constituents of Carex siderosticta Hance[D]. Yangling: Northwest A & F University, 2019. (in Chinese with English abstract)
[14]	王艺璇. 冻融循环对宽叶薹草根际土壤与植株生理特性的影响[D]. 哈尔滨: 东北林业大学, 2023.
	WANG Y X. Effects of freeze-thaw cycles on the physiological characteristics of Carex siderosticta Hance inter-rooted soils and plant[D]. Harbin: Northeast Forestry University, 2023. (in Chinese with English abstract)
[15]	MISTRY J, CHUGURANSKY S, WILLIAMS L, et al. Pfam: the protein families database in 2021[J]. Nucleic Acids Research, 2021, 49(D1): D412-D419.
[16]	TAMURA K, PETERSON D, PETERSON N, et al. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods[J]. Molecular Biology and Evolution, 2011, 28(10): 2731-2739.
[17]	CHEN C J, WU Y, LI J W, et al. TBtools-II: a “one for all, all for one” bioinformatics platform for biological big-data mining[J]. Molecular Plant, 2023, 16(11): 1733-1742.
[18]	梁锦, 刘海婷, 钟荣, 等. 萱草不同器官实时荧光定量PCR内参基因的筛选[J]. 植物生理学报, 2020, 56(9): 1891-1898.
	LIANG J, LIU H T, ZHONG R, et al. Screening of reference genes for quantitative real-time PCR in different organs of Hemerocallis fulva[J]. Plant Physiology Journal, 2020, 56(9): 1891-1898. (in Chinese with English abstract)
[19]	LIVAK K J, SCHMITTGEN T D. Analysis of relative gene expression data using real-time quantitative PCR and the 2 - Δ Δ C T method[J]. Methods, 2001, 25(4): 402-408.
[20]	ALI M A, AZEEM F, NAWAZ M A, et al. Transcription factors WRKY11 and WRKY17 are involved in abiotic stress responses in Arabidopsis[J]. Journal of Plant Physiology, 2018, 226: 12-21.
[21]	CHEN H, LAI Z B, SHI J W, et al. Roles of Arabidopsis WRKY18, WRKY40 and WRKY60 transcription factors in plant responses to abscisic acid and abiotic stress[J]. BMC Plant Biology, 2010, 10: 281.
[22]	SCARPECI T E, ZANOR M I, MUELLER-ROEBER B, et al. Overexpression of AtWRKY30 enhances abiotic stress tolerance during early growth stages in Arabidopsis thaliana[J]. Plant Molecular Biology, 2013, 83(3): 265-277.
[23]	车永梅, 孙艳君, 卢松冲, 等. AtWRKY40参与拟南芥干旱胁迫响应过程[J]. 植物生理学报, 2018, 54(3): 456-464.
	CHE Y M, SUN Y J, LU S C, et al. AtWRKY40 functions in drought stress response in Arabidopsis thaliana[J]. Plant Physiology Journal, 2018, 54(3): 456-464. (in Chinese with English abstract)
[24]	DING Z J, YAN J Y, XU X Y, et al. Transcription factor WRKY46 regulates osmotic stress responses and stomatal movement independently in Arabidopsis[J]. The Plant Journal, 2014, 79(1): 13-27.
[25]	JIANG Y J, LIANG G, YU D Q. Activated expression of WRKY57 confers drought tolerance in Arabidopsis[J]. Molecular Plant, 2012, 5(6): 1375-1388.
[26]	EULGEM T, SOMSSICH I E. Networks of WRKY transcription factors in defense signaling[J]. Current Opinion in Plant Biology, 2007, 10(4): 366-371.
[27]	ROSS C A, LIU Y, SHEN Q J. The WRKY gene family in rice (Oryza sativa)[J]. Journal of Integrative Plant Biology, 2007, 49(6): 827-842.
[28]	BENCKE-MALATO M, CABREIRA C, WIEBKE-STROHM B, et al. Genome-wide annotation of the soybean WRKY family and functional characterization of genes involved in response to Phakopsora pachyrhizi infection[J]. BMC Plant Biology, 2014, 14: 236.
[29]	宋辉, 南志标. 蒺藜苜蓿全基因组中WRKY转录因子的鉴定与分析[J]. 遗传, 2014, 36(2): 152-168.
	SONG H, NAN Z B. Genome-wide identification and analysis of WRKY transcription factors in Medicago truncatula[J]. Hereditas, 2014, 36(2): 152-168. (in Chinese with English abstract)
[30]	WANG H P, CHEN W Q, XU Z Y, et al. Functions of WRKYs in plant growth and development[J]. Trends in Plant Science, 2023, 28(6): 630-645.
[31]	ZHOU H, ZHU W, WANG X C, et al. A missense mutation in WRKY32 converts its function from a positive regulator to a repressor of photomorphogenesis[J]. New Phytologist, 2022, 235(1): 111-125.
[32]	YIN M, SONG N, CHEN S Y, et al. NaKTI2, a Kunitz trypsin inhibitor transcriptionally regulated by NaWRKY3 and NaWRKY6, is required for herbivore resistance in Nicotiana attenuata[J]. Plant Cell Reports, 2021, 40(1): 97-109.
[33]	WANG L J, GUO D Z, ZHAO G D, et al. Group IIc WRKY transcription factors regulate cotton resistance to Fusarium oxysporum by promoting GhMKK2-mediated flavonoid biosynthesis[J]. New Phytologist, 2022, 236(1): 249-265.
[34]	LI W X, PANG S Y, LU Z G, et al. Function and mechanism of WRKY transcription factors in abiotic stress responses of plants[J]. Plants, 2020, 9(11): 1515.
[35]	FAZAL F M, CHANG H Y. Subcellular spatial transcriptomes: emerging frontier for understanding gene regulation[J]. Cold Spring Harbor Symposia on Quantitative Biology, 2019, 84: 31-45.
[36]	刘晨, 曹小汉, 殷丹丹, 等. MAPK信号通路调控植物响应非生物胁迫的研究进展[J]. 安徽农业科学, 2022, 50(18): 9-16.
	LIU C, CAO X H, YIN D D, et al. Research progress of MAPK signaling pathway in regulating plants response to abiotic stress[J]. Journal of Anhui Agricultural Sciences, 2022, 50(18): 9-16. (in Chinese with English abstract)
[37]	ZHENG Z Y, MOSHER S L, FAN B F, et al. Functional analysis of Arabidopsis WRKY25 transcription factor in plant defense against Pseudomonas syringae[J]. BMC Plant Biology, 2007, 7: 2.
[38]	王怡, 于月华, 万会娜, 等. GhWRKY44在干旱胁迫下的功能鉴定[J]. 棉花学报, 2024, 36(4): 275-284.
	WANG Y, YU Y H, WAN H N, et al. Functional identification of GhWRKY44 under drought stress[J]. Cotton Science, 2024, 36(4): 275-284. (in Chinese with English abstract)
[39]	LEE H, CHA J, CHOI C, et al. Rice WRKY11 plays a role in pathogen defense and drought tolerance[J]. Rice, 2018, 11(1): 5.
[40]	EL-ESAWI M A, AL-GHAMDI A A, ALI H M, et al. Overexpression of AtWRKY30 transcription factor enhances heat and drought stress tolerance in wheat (Triticum aestivum L.)[J]. Genes, 2019, 10(2): 163.
[41]	REN X Z, CHEN Z Z, LIU Y, et al. ABO3, a WRKY transcription factor, mediates plant responses to abscisic acid and drought tolerance in Arabidopsis[J]. Plant Journal, 2010, 63(3): 417-429.
[42]	QIAO Z, LI C L, ZHANG W. WRKY1 regulates stomatal movement in drought-stressed Arabidopsis thaliana[J]. Plant Molecular Biology, 2016, 91(1): 53-65.
[43]	WANG X J, DU B J, LIU M, et al. Arabidopsis transcription factor WRKY33 is involved in drought by directly regulating the expression of CesA8[J]. American Journal of Plant Sciences, 2013, 4(6): 21-27.

基因名称 Gene name	正向引物序列 Forward primer sequence(5'-3')	反向引物序列 Reverse primer sequence(5'-3')
CsEF-1α	AGTGGTTATCGGTCACGTCG	GTTCATCTCAGCGGCTTCCT
CsWRKY2	AATGTGGAGGTTGGTGGGAC	GGACCCGTTGCATCACTCTT
CsWRKY7	GGTTCAAAGAAGCGCGGAAG	AAGTCGGTTTTCGTGCAAGC
CsWRKY9	GCAATCCGAGATGGATCGGT	GCTCTTTTTGCTTCCCGGTG
CsWRKY12	AATGCAGCGGAGTGAAAGGT	TGGTTGTGCTCGCCTTCATA
CsWRKY13	CCAGCTCAGGTTGGTGTTTTG	CCCTCATCCATCCGGCTTAC
CsWRKY20	ACAATGGCTCCAGCAAGACA	ATGATCGGCCTGTGGTTCAG
CsWRKY21	CCACCATGAGGAAAGCTCGT	CTTCAGCACACCTTTGCACC
CsWRKY22	ATGCCTCGTCGTGTTCATCT	CTTGACTTGCTGGAGGTGGT
CsWRKY29	CTAATCACTGCGCCTGACGA	CGTCTTCCCCCGCTTGTAAT
CsWRKY30	GCAGCCACAAAACAAGTCCA	CTGACATTGGTGTCGAGTTGC
CsWRKY33	TTCTTCGTCGTGTGAGGCAA	GTGGCTCACGTTGCCTTTTC
CsWRKY34	ACGGTCAGAAGGTCGTCAAG	GCATGTCGTCCCTCGTATGT
CsWRKY40	GAGGAAGGGTTTTGACGGGT	CCTGGTCGAATTTGTGCGTG

基因名称 Gene name	正向引物序列 Forward primer sequence(5'-3')	反向引物序列 Reverse primer sequence(5'-3')
CsEF-1α	AGTGGTTATCGGTCACGTCG	GTTCATCTCAGCGGCTTCCT
CsWRKY2	AATGTGGAGGTTGGTGGGAC	GGACCCGTTGCATCACTCTT
CsWRKY7	GGTTCAAAGAAGCGCGGAAG	AAGTCGGTTTTCGTGCAAGC
CsWRKY9	GCAATCCGAGATGGATCGGT	GCTCTTTTTGCTTCCCGGTG
CsWRKY12	AATGCAGCGGAGTGAAAGGT	TGGTTGTGCTCGCCTTCATA
CsWRKY13	CCAGCTCAGGTTGGTGTTTTG	CCCTCATCCATCCGGCTTAC
CsWRKY20	ACAATGGCTCCAGCAAGACA	ATGATCGGCCTGTGGTTCAG
CsWRKY21	CCACCATGAGGAAAGCTCGT	CTTCAGCACACCTTTGCACC
CsWRKY22	ATGCCTCGTCGTGTTCATCT	CTTGACTTGCTGGAGGTGGT
CsWRKY29	CTAATCACTGCGCCTGACGA	CGTCTTCCCCCGCTTGTAAT
CsWRKY30	GCAGCCACAAAACAAGTCCA	CTGACATTGGTGTCGAGTTGC
CsWRKY33	TTCTTCGTCGTGTGAGGCAA	GTGGCTCACGTTGCCTTTTC
CsWRKY34	ACGGTCAGAAGGTCGTCAAG	GCATGTCGTCCCTCGTATGT
CsWRKY40	GAGGAAGGGTTTTGACGGGT	CCTGGTCGAATTTGTGCGTG

蛋白质名称 Protein name	蛋白质ID Protein ID	氨基酸数量 Number of amino acids	分子量 Molecular weight/u	理论等电点 Theoretical pI	脂肪系数 Aliphatic index	亲水性指数 Hydropathicity index	可靠性指数 Reliable index
CsWRKY1	TRINITY_DN25341_c0_g1.p1	227	25 859.92	9.13	53.66	-0.861	2.713
CsWRKY2	TRINITY_DN71036_c0_g1.p1	365	39 547.20	6.26	71.32	-0.387	3.220
CsWRKY3	TRINITY_DN24014_c0_g1.p1	345	37 300.06	5.16	72.09	-0.506	4.106
CsWRKY4	TRINITY_DN21305_c0_g1.p1	429	46 690.97	8.43	59.79	-0.805	4.541
CsWRKY5	TRINITY_DN23710_c0_g1.p1	227	25 812.35	5.98	64.89	-0.558	2.769
CsWRKY6	TRINITY_DN8042_c0_g1.p1	1 052	114 418.31	6.16	60.91	-0.774	3.934
CsWRKY7	TRINITY_DN685_c1_g3.p1	320	36 371.66	7.01	63.09	-0.854	4.610
CsWRKY8	TRINITY_DN13228_c0_g1.p1	418	46 029.94	8.90	48.71	-0.876	4.399
CsWRKY9	TRINITY_DN50400_c0_g1.p1	499	55 216.80	5.22	58.10	-0.941	4.819
CsWRKY10	TRINITY_DN2138_c0_g1.p1	287	32 783.87	6.02	72.02	-0.653	4.224
CsWRKY11	TRINITY_DN35748_c0_g2.p1	127	15 061.14	9.35	60.55	-0.846	2.472
CsWRKY12	TRINITY_DN1223_c0_g2.p1	337	37 461.27	9.54	64.51	-0.785	4.270
CsWRKY13	TRINITY_DN920_c0_g1.p1	186	20 375.75	8.99	63.44	-0.637	3.681
CsWRKY14	TRINITY_DN26245_c0_g2.p1	186	20 497.80	8.25	48.82	-0.712	4.341
CsWRKY15	TRINITY_DN10828_c1_g1.p1	236	25 423.32	5.94	54.19	-0.586	3.227
CsWRKY16	TRINITY_DN52127_c0_g1.p1	466	51 580.45	8.02	60.11	-0.789	4.775
CsWRKY17	TRINITY_DN10234_c0_g1.p1	180	19 948.94	4.83	49.39	-0.923	3.832
CsWRKY18	TRINITY_DN88517_c0_g1.p1	222	25 105.91	6.66	61.53	-0.936	4.163
CsWRKY19	TRINITY_DN60019_c0_g1.p1	232	26 356.25	6.00	73.92	-0.487	4.009
CsWRKY20	TRINITY_DN5707_c0_g1.p1	253	27 820.48	8.97	66.68	-0.733	4.411
CsWRKY21	TRINITY_DN238_c2_g1.p1	520	55 805.56	5.75	60.35	-0.569	4.501
CsWRKY22	TRINITY_DN12424_c0_g1.p1	352	39 065.32	9.84	66.22	-0.782	4.599
CsWRKY23	TRINITY_DN4346_c0_g1.p1	309	33 839.20	7.73	52.72	-0.891	4.207
CsWRKY24	TRINITY_DN8931_c0_g1.p1	502	54 633.32	6.44	57.45	-0.878	3.872
CsWRKY25	TRINITY_DN32124_c3_g1.p1	333	35 836.41	7.66	64.23	-0.535	3.024
CsWRKY26	TRINITY_DN26434_c0_g1.p1	352	38 775.68	6.14	50.99	-0.985	4.718
CsWRKY27	TRINITY_DN714_c2_g1.p1	298	32 980.16	6.20	48.12	-0.912	3.346
CsWRKY28	TRINITY_DN3255_c1_g1.p1	722	78 422.37	5.95	48.49	-0.854	3.944
CsWRKY29	TRINITY_DN4758_c0_g1.p1	284	30 970.33	5.31	60.11	-0.711	3.870
CsWRKY30	TRINITY_DN82013_c0_g1.p1	204	23 014.52	7.04	47.79	-0.749	3.481
CsWRKY31	TRINITY_DN54950_c0_g1.p1	121	13 931.73	9.25	62.07	-1.107	2.837
CsWRKY32	TRINITY_DN44830_c0_g1.p1	99	11 695.20	9.23	58.08	-0.890	2.449
CsWRKY33	TRINITY_DN4854_c0_g1.p1	318	35 704.86	7.11	55.50	-0.876	4.841
CsWRKY34	TRINITY_DN28623_c0_g1.p1	234	26 682.65	9.28	51.62	-0.981	4.762
CsWRKY35	TRINITY_DN15_c2_g1.p1	458	51 061.95	5.85	47.53	-0.967	4.421
CsWRKY36	TRINITY_DN7274_c0_g1.p1	394	43 242.46	8.51	57.13	-0.808	4.270
CsWRKY37	TRINITY_DN9415_c1_g1.p1	195	22 127.53	7.64	53.49	-0.791	3.354
CsWRKY38	TRINITY_DN87366_c0_g1.p1	247	28 132.69	5.20	75.75	-0.517	2.689
CsWRKY39	TRINITY_DN50547_c0_g2.p1	115	13 177.86	9.23	58.52	-0.937	2.686
CsWRKY40	TRINITY_DN5168_c0_g1.p1	293	32 279.70	5.58	70.31	-0.705	3.545
CsWRKY41	TRINITY_DN3189_c2_g1.p1	227	25 865.76	8.86	78.06	-0.437	1.947

蛋白质名称 Protein name	蛋白质ID Protein ID	氨基酸数量 Number of amino acids	分子量 Molecular weight/u	理论等电点 Theoretical pI	脂肪系数 Aliphatic index	亲水性指数 Hydropathicity index	可靠性指数 Reliable index
CsWRKY1	TRINITY_DN25341_c0_g1.p1	227	25 859.92	9.13	53.66	-0.861	2.713
CsWRKY2	TRINITY_DN71036_c0_g1.p1	365	39 547.20	6.26	71.32	-0.387	3.220
CsWRKY3	TRINITY_DN24014_c0_g1.p1	345	37 300.06	5.16	72.09	-0.506	4.106
CsWRKY4	TRINITY_DN21305_c0_g1.p1	429	46 690.97	8.43	59.79	-0.805	4.541
CsWRKY5	TRINITY_DN23710_c0_g1.p1	227	25 812.35	5.98	64.89	-0.558	2.769
CsWRKY6	TRINITY_DN8042_c0_g1.p1	1 052	114 418.31	6.16	60.91	-0.774	3.934
CsWRKY7	TRINITY_DN685_c1_g3.p1	320	36 371.66	7.01	63.09	-0.854	4.610
CsWRKY8	TRINITY_DN13228_c0_g1.p1	418	46 029.94	8.90	48.71	-0.876	4.399
CsWRKY9	TRINITY_DN50400_c0_g1.p1	499	55 216.80	5.22	58.10	-0.941	4.819
CsWRKY10	TRINITY_DN2138_c0_g1.p1	287	32 783.87	6.02	72.02	-0.653	4.224
CsWRKY11	TRINITY_DN35748_c0_g2.p1	127	15 061.14	9.35	60.55	-0.846	2.472
CsWRKY12	TRINITY_DN1223_c0_g2.p1	337	37 461.27	9.54	64.51	-0.785	4.270
CsWRKY13	TRINITY_DN920_c0_g1.p1	186	20 375.75	8.99	63.44	-0.637	3.681
CsWRKY14	TRINITY_DN26245_c0_g2.p1	186	20 497.80	8.25	48.82	-0.712	4.341
CsWRKY15	TRINITY_DN10828_c1_g1.p1	236	25 423.32	5.94	54.19	-0.586	3.227
CsWRKY16	TRINITY_DN52127_c0_g1.p1	466	51 580.45	8.02	60.11	-0.789	4.775
CsWRKY17	TRINITY_DN10234_c0_g1.p1	180	19 948.94	4.83	49.39	-0.923	3.832
CsWRKY18	TRINITY_DN88517_c0_g1.p1	222	25 105.91	6.66	61.53	-0.936	4.163
CsWRKY19	TRINITY_DN60019_c0_g1.p1	232	26 356.25	6.00	73.92	-0.487	4.009
CsWRKY20	TRINITY_DN5707_c0_g1.p1	253	27 820.48	8.97	66.68	-0.733	4.411
CsWRKY21	TRINITY_DN238_c2_g1.p1	520	55 805.56	5.75	60.35	-0.569	4.501
CsWRKY22	TRINITY_DN12424_c0_g1.p1	352	39 065.32	9.84	66.22	-0.782	4.599
CsWRKY23	TRINITY_DN4346_c0_g1.p1	309	33 839.20	7.73	52.72	-0.891	4.207
CsWRKY24	TRINITY_DN8931_c0_g1.p1	502	54 633.32	6.44	57.45	-0.878	3.872
CsWRKY25	TRINITY_DN32124_c3_g1.p1	333	35 836.41	7.66	64.23	-0.535	3.024
CsWRKY26	TRINITY_DN26434_c0_g1.p1	352	38 775.68	6.14	50.99	-0.985	4.718
CsWRKY27	TRINITY_DN714_c2_g1.p1	298	32 980.16	6.20	48.12	-0.912	3.346
CsWRKY28	TRINITY_DN3255_c1_g1.p1	722	78 422.37	5.95	48.49	-0.854	3.944
CsWRKY29	TRINITY_DN4758_c0_g1.p1	284	30 970.33	5.31	60.11	-0.711	3.870
CsWRKY30	TRINITY_DN82013_c0_g1.p1	204	23 014.52	7.04	47.79	-0.749	3.481
CsWRKY31	TRINITY_DN54950_c0_g1.p1	121	13 931.73	9.25	62.07	-1.107	2.837
CsWRKY32	TRINITY_DN44830_c0_g1.p1	99	11 695.20	9.23	58.08	-0.890	2.449
CsWRKY33	TRINITY_DN4854_c0_g1.p1	318	35 704.86	7.11	55.50	-0.876	4.841
CsWRKY34	TRINITY_DN28623_c0_g1.p1	234	26 682.65	9.28	51.62	-0.981	4.762
CsWRKY35	TRINITY_DN15_c2_g1.p1	458	51 061.95	5.85	47.53	-0.967	4.421
CsWRKY36	TRINITY_DN7274_c0_g1.p1	394	43 242.46	8.51	57.13	-0.808	4.270
CsWRKY37	TRINITY_DN9415_c1_g1.p1	195	22 127.53	7.64	53.49	-0.791	3.354
CsWRKY38	TRINITY_DN87366_c0_g1.p1	247	28 132.69	5.20	75.75	-0.517	2.689
CsWRKY39	TRINITY_DN50547_c0_g2.p1	115	13 177.86	9.23	58.52	-0.937	2.686
CsWRKY40	TRINITY_DN5168_c0_g1.p1	293	32 279.70	5.58	70.31	-0.705	3.545
CsWRKY41	TRINITY_DN3189_c2_g1.p1	227	25 865.76	8.86	78.06	-0.437	1.947

蛋白质名称 Protein name	α螺旋 Alpha-helix	3_10螺旋 3_10 helix	延伸链 Extended strand	氢键转角 Turn	弯曲 Bend	无规卷曲 Random coil	β折叠 Beta-sheet	π-螺旋 π-helix
CsWRKY1	—	—	27.31	8.81	6.17	57.71	—	—
CsWRKY2	23.84	—	10.41	2.74	2.74	60.27	—	—
CsWRKY3	15.36	—	13.62	4.35	3.19	63.48	—	—
CsWRKY4	12.12	0.23	15.15	5.13	4.20	63.17	—	—
CsWRKY5	31.28	—	15.42	3.52	3.52	46.26	—	—
CsWRKY6	27.76	0.38	5.99	4.09	1.33	60.46	—	—
CsWRKY7	35.94	0.94	11.25	3.75	3.44	44.69	—	—
CsWRKY8	3.11	—	17.46	3.11	5.02	71.05	0.24	—
CsWRKY9	32.67	—	9.82	2.00	2.20	53.31	—	—
CsWRKY10	27.87	1.05	10.10	4.18	3.48	53.31	—	—
CsWRKY11	5.51	—	24.41	6.30	9.45	54.33	—	—
CsWRKY12	13.95	—	9.20	3.56	4.15	69.14	—	—
CsWRKY13	4.84	1.61	17.74	5.91	6.45	63.44	—	—
CsWRKY14	11.29	2.15	16.13	3.76	5.38	61.29	—	—
CsWRKY15	10.59	0.42	19.07	5.08	3.39	61.44	—	—
CsWRKY16	25.11	—	8.15	2.58	3.00	61.16	—	—
CsWRKY17	3.89	—	14.44	4.44	6.11	71.11	—	—
CsWRKY18	15.77	—	18.47	3.15	4.50	58.11	—	—
CsWRKY19	17.67	—	15.95	5.17	5.17	56.03	—	—
CsWRKY20	18.58	1.19	15.02	3.95	3.56	57.71	—	—
CsWRKY21	18.27	0.38	8.08	4.23	3.27	65.77	—	—
CsWRKY22	24.43	—	11.36	3.98	4.26	55.97	—	—
CsWRKY23	4.53	0.65	8.74	8.09	3.56	74.43	—	—
CsWRKY24	5.98	—	16.53	2.99	3.78	70.72	—	—
CsWRKY25	15.92	1.50	12.91	6.91	2.40	60.36	—	—
CsWRKY26	5.40	0.57	13.35	3.98	4.26	72.16	0.28	—
CsWRKY27	10.07	—	12.42	6.04	2.68	68.79	—	—
CsWRKY28	9.00	0.28	9.56	4.43	3.19	73.55	—	—
CsWRKY29	7.39	0.70	10.92	5.99	3.52	71.48	—	—
CsWRKY30	7.35	—	17.16	4.41	3.43	67.65	—	—
CsWRKY31	18.18	—	21.49	8.26	5.79	46.28	—	—
CsWRKY32	11.11	—	33.33	7.07	14.14	34.34	—	—
CsWRKY33	14.15	0.31	14.47	2.83	3.14	65.09	—	—
CsWRKY34	4.27	—	14.10	2.56	5.98	73.08	—	—
CsWRKY35	6.33	—	17.03	4.80	4.37	67.47	—	—
CsWRKY36	5.33	—	18.53	4.06	4.82	67.26	—	—
CsWRKY37	3.08	—	23.59	3.59	5.64	64.10	—	—
CsWRKY38	23.89	—	14.57	4.86	4.45	52.23	—	—
CsWRKY39	10.43	—	26.96	3.48	7.83	51.30	—	—
CsWRKY40	23.89	—	10.92	5.12	2.73	57.34	—	—
CsWRKY41	19.38	—	11.45	6.61	2.64	59.91	—	—

宽叶苔草WRKY家族成员生物信息学分析与耐旱基因挖掘

Bioinformatics analysis and drought-tolerant gene mining of WRKY family members in Carex siderosticta

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 13

参考文献 43

相关文章 15

编辑推荐

Metrics

本文评价

AtWRKY	CsWRKY候选基因 Candidate CsWRKY gene	BLAST位分数 BLAST bit score	AtWRKY	CsWRKY候选基因 Candidate CsWRKY gene	BLAST位分数 BLAST bit score
AtWRKY11^[20]	CsWRKY22 CsWRKY12 CsWRKY29	186.0 181.0 106.0	AtWRKY40^[23]	CsWRKY7 CsWRKY20 CsWRKY9	201.0 176.0 103.0
AtWRKY17^[20]	CsWRKY22 CsWRKY12 CsWRKY29	181.0 178.0 103.0	AtWRKY46^[24]	CsWRKY40 CsWRKY2 CsWRKY30	120.0 92.4 89.0
AtWRKY18^[21]	CsWRKY7 CsWRKY20 CsWRKY21	209.0 171.0 115.0	AtWRKY57^[25]	CsWRKY13 CsWRKY33 CsWRKY34	154.0 154.0 129.0
AtWRKY28^[8]	CsWRKY33 CsWRKY13 CsWRKY34	182.0 132.0 118.0	AtWRKY60^[21]	CsWRKY7 CsWRKY20 CsWRKY9	193.0 165.0 107.0
AtWRKY30^[22]	CsWRKY2 CsWRKY40 CsWRKY30	96.7 88.6 81.3

[1]	李宇静, 黄倩茹, 张爱冬, 吴雪霞, 朱栋幸, 肖凯. 茄子SmMYB13基因在干旱胁迫响应中的功能[J]. 浙江农业学报, 2025, 37(8): 1666-1679.
[2]	师阳阳, 吕丽霞, 脱登峰. 低温弱光胁迫下AMF和PGPR对紫罗兰生长及营养吸收的影响[J]. 浙江农业学报, 2025, 37(8): 1694-1705.
[3]	狄延翠, 嵇泽琳, 王媛媛, 娄世浩, 张涛, 国志信, 申顺善, 朴凤植, 杜南山, 董晓星, 董韩. 番茄SlMYB52基因鉴定、亚细胞定位及表达分析[J]. 浙江农业学报, 2025, 37(4): 808-819.
[4]	张美莹, 莫倩, 齐秀双, 佟宁宁, 孔凡, 刘政安, 吕长平, 彭丽平. 牡丹PoLPAT2基因的克隆及表达分析[J]. 浙江农业学报, 2025, 37(2): 321-328.
[5]	任元龙, 马蓉, 王晓卓, 张雪艳. 叶面喷施褪黑素对甘蓝幼苗干旱胁迫的缓解作用[J]. 浙江农业学报, 2025, 37(2): 338-348.
[6]	闵江艳, 唐卓磊, 杨雪, 黄小燕, 黄凯丰, 何佩云. 不同干旱-复水模式对苦荞生长与产量的影响[J]. 浙江农业学报, 2024, 36(9): 2000-2009.
[7]	蒋文骏, 舒红锁, 陈正满, 任典挺, 杨党, 田荣江, 杜照奎. 秋茄KoWRKY43基因克隆、表达与生物信息学分析[J]. 浙江农业学报, 2024, 36(8): 1832-1843.
[8]	杨明凤, 吉春容, 刘勇, 白书军, 陈雪, 刘爱琳. 花铃期持续干旱胁迫对棉花生长与土壤干旱阈值的影响[J]. 浙江农业学报, 2024, 36(4): 738-747.
[9]	李亚萍, 金福来, 黄宗贵, 张涛, 段晓婧, 姜武, 陶正明, 陈家栋. 铁皮石斛糖苷水解酶GH3基因家族鉴定及表达模式分析[J]. 浙江农业学报, 2024, 36(4): 790-799.
[10]	张露荷, 王多锋, 张德, 张广忠, 赵通, 吕斌燕, 张洋军, 李毅. 枣树novel-miR16靶基因ZjTCP4鉴定及生物信息学分析[J]. 浙江农业学报, 2024, 36(3): 534-543.
[11]	田晓明, 向光锋, 牟村, 吕浩, 马涛, 朱路, 彭静, 张敏, 何艳. 四种红豆属植物耐旱性综合评价[J]. 浙江农业学报, 2024, 36(2): 308-324.
[12]	张丽, 王媛媛, 王瑞, 刘丽霞. 牦牛DRA基因克隆测序及生物信息学分析[J]. 浙江农业学报, 2023, 35(7): 1564-1570.
[13]	庞雪晴, 唐诗, 曾红梅, 赵位, 王印, 罗燕, 姚学萍, 任梅渗, 任永军, 杨泽晓. 两株GI.1型和GI.2型兔出血症病毒RdRp基因的克隆与分析[J]. 浙江农业学报, 2023, 35(6): 1286-1296.
[14]	张新业, 李文静, 朱姝, 孙艳香, 王聪艳, 闫训友, 周志国. 三种伞形科蔬菜作物棕榈酰基转移酶基因家族的鉴定与分析[J]. 浙江农业学报, 2023, 35(6): 1315-1327.
[15]	宋雅萍, 雷召雄, 赵毅昂, 姜超, 王兴平, 罗仍卓么, 马云, 魏大为. 牛FoxO1基因CDS区克隆及其在脂肪细胞分化过程中的表达分析[J]. 浙江农业学报, 2023, 35(5): 1016-1027.