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Acta Agronomica Sinica ›› 2025, Vol. 51 ›› Issue (10): 2713-2726.doi: 10.3724/SP.J.1006.2025.55028

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Cloning and molecular identification of the peanut drought-resistance gene AhCPK8 and its interacting protein GAPDH

HE Mei1,2(), ZHANG Jia-Lei1, FAN Shi-Kai1, MENG Jing-Jing1, WANG Jian-Guo1, GUO Feng1, LI Xin-Guo1, WAN Shu-Bo1,*(), YANG Sha1,*()   

  1. 1Crop Germplasm Resources Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, Shandong, China
    2College of Life Sciences, Shandong Normal University, Jinan 250399, Shandong, China
  • Received:2025-04-17 Accepted:2025-07-09 Online:2025-10-12 Published:2025-07-22
  • Contact: *E-mail: wanshubo2016@163.com;E-mail: yangsha0904@126.com E-mail:hemei920@163.com;wanshubo2016@163.com;yangsha0904@126.com
  • Supported by:
    National Natural Science Foundation of China(32272020);Shandong Key R&D Program(ZFJH202310);Taishan Scholars Program(tspd20221107);Taishan Scholars Program(tsqn202408305)

Abstract:

Peanut is an important oilseed and economic crop, and drought is one of the major factors limiting its yield. Identifying key genes involved in the peanut drought response is of great significance for improving drought tolerance and enhancing yield. In this study, the peanut variety Huayu 22 (HY22) was grown hydroponically using two nutrient solutions: one with sufficient calcium (SC) and one without calcium (NC). Drought stress treatments (DSC and DNC) were simulated using PEG-6000 at a final concentration of 20%. Based on transcriptome analysis and differential expression of calcium-dependent protein kinases (CPKs), we identified the drought-responsive gene AhCPK8, which encodes a calcium-sensing protein in peanut. Using yeast two-hybrid assays and drought-treated peanut leaves, we screened for and validated its interacting protein, glyceraldehyde-3-phosphate dehydrogenase (GAPDH). The GAPDH gene family plays a crucial role in regulating plant responses to abiotic stress. Through bioinformatics analysis, a total of 21 AhGAPDH genes were identified in peanut. These genes were named according to their phylogenetic relationships with soybean and Arabidopsis thaliana, as well as their chromosomal positions across the 12 peanut chromosomes. Physicochemical characterization revealed that most AhGAPDH proteins are stable and hydrophobic. Members within the same phylogenetic cluster shared similar motif structures, conserved domains, and gene architectures. Moreover, their promoter regions contain numerous cis-acting elements related to light responsiveness, phytohormone signaling, and abiotic stress responses. The interaction between AhCPK8 and AhGAPDH suggests a coordinated regulatory mechanism that contributes to drought resistance in peanut.

Key words: Huayu 22, drought resistance, AhCPK8, interacting protein, GAPDH

Table 1

Gene names and qRT-PCR primers"

基因名称
Gene name
正向引物序列
Forword primer sequence (5′-3′)
反向引物序列
Reverse primer sequence (5′-3′)
TUA5 CTGATGTCGCTGTGCTCTTGG CTGTTGAGGTTGGTGTAGGTAGG
AhCPK2 TGGGCAGAGACCGAACAAGGG CCGCTGTCAACCGCTTCTTAGG
AhCPK8 CCTGCAAGTCCATCCCAAAGCG CGAGATGAACGGCAAGGCTGTC
AhCPK36 TTCCTCCTCATCCGCCACCATC CCCAGCTCCCTACCGAAGACG
AhCPK40 TGGAGGCGGCTGATGTGGAC CCTCGCGCTCTAGCTTGTTGAG

Fig. 1

Response of CaM/CML, CPKs, and CBL gene families to drought stress in FH18 and NH5 Figure A–C show the expression profiles of three major calcium-sensing protein gene families: CaM/CML, CPKs, and CBL, respectively. 18/63: 18 out of 63 CaM/CML genes were upregulated under drought stress. 24/45: 24 out of 45 CPK genes were upregulated under drought stress. 7/23: 7 out of 23 CBL genes were upregulated under drought stress. FH18: drought-sensitive peanut variety; NH5: drought-tolerant peanut variety."

Fig. 2

Expression patterns of AhCPK2, AhCPK8, AhCPK36, AhCPK40 under different treatments *, **, ***, and **** indicate significant differences at P < 0.05, P < 0.01, P < 0.001, and P < 0.0001, respectively. DSC: Huayu 22 seedlings under drought-treated sufficient calcium (SC) culture conditions. DNC: Huayu 22 seedlings under drought-treated no calcium (NC) culture conditions."

Fig. 3

Bait toxicity and self-activation assays"

Fig. 4

Screening of AhCPK8-interacting proteins A: conversion efficiency of Y2Hgold [pGBKT7-AhCPK8] +10 μL library plasmid. B: positive clones screened on QDO/X-α-gal plates."

Fig. 5

Verification of protein-protein interaction a: positive control pGBKT7-53+pGADT7-T; b: negative control pGBKT7-Lam+pGADT7-T; c: experimental group pGBKT7- AhCPK8+pGADT7; d: experimental group pGBKT7-AhCPK8+ pGADT7-AhGAPDH."

Table 2

Nomenclature of AhGAPDH gene family members"

名称
Symbol
序列ID
Sequence ID
名称
Symbol
序列ID
Sequence ID
AhGAPA1 arahy.Tifrunner.gnm2.ann1.D2DMXG.1 AhGAPC3 arahy.Tifrunner.gnm2.ann1.8UAX1T.1
AhGAPA2 arahy.Tifrunner.gnm2.ann1.YN8IJ2.1 AhGAPC4 arahy.Tifrunner.gnm2.ann1.YH7XEC.1
AhGAPA3 arahy.Tifrunner.gnm2.ann1.8EQN3M.1 AhGAPC5 arahy.Tifrunner.gnm2.ann1.YH7XEC.3
AhGAPA4 arahy.Tifrunner.gnm2.ann1.HFT5ZK.1 AhGAPC6 arahy.Tifrunner.gnm2.ann1.SIHD8Y.1
AhGAPA5 arahy.Tifrunner.gnm2.ann1.FN6RIW.1 AhGAPC7 arahy.Tifrunner.gnm2.ann1.VRBE94.1
AhGAPA6 arahy.Tifrunner.gnm2.ann1.BA5EUQ.1 AhGAPC8 arahy.Tifrunner.gnm2.ann1.QHP0ED.1
AhGAPA7 arahy.Tifrunner.gnm2.ann1.BFW5UL.1 AhGAPCp1 arahy.Tifrunner.gnm2.ann1.5PGU74.1
AhGAPA8 arahy.Tifrunner.gnm2.ann1.6W2CKZ.1 AhGAPCp2 arahy.Tifrunner.gnm2.ann1.5PGU74.2
AhGAPA9 arahy.Tifrunner.gnm2.ann1.ZX8DBB.1 AhGAPCp3 arahy.Tifrunner.gnm2.ann1.F06IQB.2
AhGAPC1 arahy.Tifrunner.gnm2.ann1.YL3Z6V.1 AhGAPCp4 arahy.Tifrunner.gnm2.ann1.F06IQB.3
AhGAPC2 arahy.Tifrunner.gnm2.ann1.PV44JT.1

Table 3

Basic information of AhGAPDH gene family members"

名称
Symbol
氨基酸数目
Number of amino acid
分子量
Molecular weight (Da)
等电点
pI
不稳定指数
Instability index
脂溶指数
Aliphatic index
总平均亲水性值
Grand average of
hydropathicity
AhGAPA1 388 41,339.06 8.92 24.19 89.95 -0.079
AhGAPA2 509 54,458.07 5.59 29.04 89.80 -0.101
AhGAPA3 359 38,725.28 5.48 24.14 93.31 -0.040
AhGAPA4 428 45,980.96 9.40 41.61 92.69 -0.130
AhGAPA5 405 43,179.17 8.44 24.73 91.68 -0.056
AhGAPA6 478 51,430.76 6.80 27.71 89.08 -0.114
AhGAPA7 381 40,951.94 5.50 25.43 94.88 -0.005
AhGAPA8 469 50,071.35 5.32 32.03 99.10 0.082
AhGAPA9 586 63,306.33 7.93 41.38 91.96 -0.102
AhGAPC1 336 36,546.89 7.06 23.08 91.34 -0.108
AhGAPC2 347 37,480.97 8.23 33.58 90.49 -0.065
AhGAPC3 278 31,231.71 6.07 30.71 90.43 -0.282
AhGAPC4 339 36,841.07 7.02 28.17 90.27 -0.087
AhGAPC5 223 24,220.73 8.68 26.63 83.50 -0.122
AhGAPC6 336 36,250.48 8.24 31.23 89.67 -0.080
AhGAPC7 336 36,532.86 7.06 23.33 91.04 -0.109
AhGAPC8 339 36,855.10 7.02 27.16 90.27 -0.087
AhGAPCp1 416 44,435.84 9.00 32.74 89.30 -0.039
AhGAPCp2 345 37,141.40 6.61 29.29 86.75 -0.051
AhGAPCp3 440 47,250.28 9.06 33.15 89.52 -0.027
AhGAPCp4 416 44,479.96 9.04 31.08 89.06 -0.044

Fig. 6

Distribution of AhGAPDH genes on chromosomes"

Fig. 7

Phylogenetic clustering, conserved motifs, domains, and gene structure analysis of the AhGAPDH gene family A: cluster analysis; B: conserved motif analysis; C: conserved domain analysis; D: gene structure analysis. Motif: conservative base sequence; UTR: untranslated region; CDS: coding region sequence."

Fig. 8

Predictive analysis of cis-acting elements of the AhGAPDH gene promoter"

Fig. 9

Phylogenetic tree of GAPDH gene family in Arachis hypogaea L., Glycine max L., Brassica napus L., Arabidopsis thaliana L., and Nicotiana benthamiana"

[1] Chaves M M, Maroco J P, Pereira J S. Understanding plant responses to drought-from genes to the whole plant. Funct Plant Biol, 2003, 30: 239-264.
[2] Todaka D, Zhao Y, Yoshida T, Kudo M, Kidokoro S, Mizoi J, Kodaira K S, Takebayashi Y, Kojima M, Sakakibara H, et al. Temporal and spatial changes in gene expression, metabolite accumulation and phytohormone content in rice seedlings grown under drought stress conditions. Plant J, 2017, 90: 61-78.
[3] 任洪雷, 朱筱, 张丰屹, 张必弦, 王家军, 王金生, 吴俊江, 王广金, 邱丽娟. 干旱胁迫的影响及抗旱性研究进展. 分子植物育种, 网络首发[2024-01-19],http://kns.cnki.net/kcms/detail/46.1068.S.20240119.1548.002.
Ren H L, Zhu X, Zhang F Y, Zhang B X, Wang J J, Wang J S, Wu J J, Wang G J, Qiu L J. Effect of drought stress and research progress of drought resistance. Mol Plant Breed, Published online [2024-01-19], (in Chinese with English abstract).
[4] 万书波, 封海胜, 王秀贞. 花生营养成分综合评价与产业化发展战略研究. 花生学报, 2004, 33(2): 1-6.
Wan S B, Feng H S, Wang X Z. Synthetically evaluation on peanut nutrients and study on its industrialization development strategy. J Peanut Sci, 2004, 33(2): 1-6 (in Chinese with English abstract).
[5] 孙海艳, 侯乾, 董文召, 王晶珊, 刘立峰, 雷永. 我国花生品种发展现状. 中国种业, 2022, (7): 15-17.
Sun H Y, Hou Q, Dong W Z, Wang J S, Liu L F, Lei Y. Development status of peanut varieties in China. China Seed Ind, 2022, (7): 15-17 (in Chinese with English abstract).
[6] Ding L, Lu Z F, Gao L M, Guo S W, Shen Q R. Is nitrogen a key determinant of water transport and photosynthesis in higher plants upon drought stress? Front Plant Sci, 2018, 9: 1143.
doi: 10.3389/fpls.2018.01143 pmid: 30186291
[7] 顾学花, 孙莲强, 高波, 孙奇泽, 刘辰, 张佳蕾, 李向东. 施钙对干旱胁迫下花生生理特性、产量和品质的影响. 应用生态学报, 2015, 26: 1433-1439.
Gu X H, Sun L Q, Gao B, Sun Q Z, Liu C, Zhang J L, Li X D. Effects of calcium fertilizer application on peanut growth, physiological characteristics, yield and quality under drought stress. Chin J Appl Ecol, 2015, 26: 1433-1439 (in Chinese with English abstract).
[8] 武志刚, 武舒佳, 王迎春, 郑琳琳. 植物中钙依赖蛋白激酶(CDPK)的研究进展. 草业学报, 2018, 27(1): 204-214.
doi: 10.11686/cyxb2017211
Wu Z G, Wu S J, Wang Y C, Zheng L L. Advances in studies of calcium-dependent protein kinase (CDPK) in plants. Acta Pratac Sin, 2018, 27(1): 204-214 (in Chinese with English abstract).
[9] Kudla J, Batistic O, Hashimoto K. Calcium signals: the lead currency of plant information processing. Plant Cell, 2010, 22: 541-563.
[10] Yip Delormel T, Boudsocq M. Properties and functions of calcium-dependent protein kinases and their relatives in Arabidopsis thaliana. New Phytol, 2019, 224: 585-604.
doi: 10.1111/nph.16088 pmid: 31369160
[11] Zhu S Y, Yu X C, Wang X J, Zhao R, Li Y, Fan R C, Shang Y, Du S Y, Wang X F, Wu F Q, et al. Two calcium-dependent protein kinases, CPK4 and CPK11, regulate abscisic acid signal transduction in Arabidopsis. Plant Cell, 2007, 19: 3019-3036.
[12] Bin L H, Xu Z L, Chu Y Q, Yan Y, Nie X J, Song W N. Genome-wide analysis of calcium-dependent protein kinase (CDPK) family and functional characterization of TaCDPK25-U in response to drought stress in wheat. Environ Exp Bot, 2023, 209: 105277.
[13] Yu T F, Zhao W Y, Fu J D, Liu Y W, Chen M, Zhou Y B, Ma Y Z, Xu Z S, Xi Y J. Genome-wide analysis of CDPK family in foxtail millet and determination of SiCDPK24 functions in drought stress. Front Plant Sci, 2018, 9: 651.
[14] Li X D, Gao Y Q, Wu W H, Chen L M, Wang Y. Two calcium-dependent protein kinases enhance maize drought tolerance by activating anion channel ZmSLAC1 in guard cells. Plant Biotechnol J, 2022, 20: 143-157.
[15] Sirover M A. On the functional diversity of glyceraldehyde-3- phosphate dehydrogenase: biochemical mechanisms and regulatory control. Biochim Biophys Acta, 2011, 1810: 741-751.
[16] Rius S P, Casati P, Iglesias A A, Gomez-Casati D F. Characterization of Arabidopsis lines deficient in GAPC-1, a cytosolic NAD-dependent glyceraldehyde-3-phosphate dehydrogenase. Plant Physiol, 2008, 148: 1655-1667.
[17] Anoman A D, Muñoz-Bertomeu J, Rosa-Téllez S, Flores-Tornero M, Serrano R, Bueso E, Fernie A R, Segura J, Ros R.Plastidial glycolytic glyceraldehyde-3-phosphate dehydrogenase is an important determinant in the carbon and nitrogen metabolism of heterotrophic cells in Arabidopsis. Plant Physiol, 2015, 169: 1619-1637.
[18] 王芳, 陈巧红, 董乐, 王云, 朱国立, 许珊珊, 黄苹苹, 王建颖, 林娟. 蓖麻3-磷酸甘油醛脱氢酶的基因克隆及表达分析. 分子植物育种, 2018, 16: 7965-7974.
Wang F, Chen Q H, Dong L, Wang Y, Zhu G L, Xu S S, Huang P P, Wang J Y, Lin J. Cloning and expression analysis of glyceraldehyde-3-phosphate dehydrogenase from castor (Ricinus communis L.). Mol Plant Breed, 2018, 16: 7965-7974 (in Chinese with English abstract).
[19] Simkin A J, Alqurashi M, Lopez-Calcagno P E, Headland L R, Raines C A. Glyceraldehyde-3-phosphate dehydrogenase subunits A and B are essential to maintain photosynthetic efficiency. Plant Physiol, 2023, 192: 2989-3000.
doi: 10.1093/plphys/kiad256 pmid: 37099455
[20] Guo L, Devaiah S P, Narasimhan R, Pan X Q, Zhang Y Y, Zhang W H, Wang X M. Cytosolic glyceraldehyde-3-phosphate dehydrogenases interact with phospholipase Dδ to transduce hydrogen peroxide signals in the Arabidopsis response to stress. Plant Cell, 2012, 24: 2200-2212.
[21] Zeng L F, Deng R, Guo Z P, Yang S S, Deng X P. Genome-wide identification and characterization of Glyceraldehyde-3-phosphate dehydrogenase genes family in wheat (Triticum aestivum). BMC Genomics, 2016, 17: 240.
doi: 10.1186/s12864-016-2527-3 pmid: 26984398
[22] Vescovi M, Zaffagnini M, Festa M, Trost P, Lo Schiavo F, Costa A. Nuclear accumulation of cytosolic glyceraldehyde-3-phosphate dehydrogenase in cadmium-stressed Arabidopsis roots. Plant Physiol, 2013, 162: 333-346.
doi: 10.1104/pp.113.215194 pmid: 23569110
[23] Zhao X C, Wang J, Xia N, Qu Y W, Zhan Y H, Teng W L, Li H Y, Li W B, Li Y G, Zhao X, et al. Genome-wide identification and analysis of glyceraldehyde-3-phosphate dehydrogenase family reveals the role of GmGAPDH14 to improve salt tolerance in soybean (Glycine max L.). Front Plant Sci, 2023, 14: 1193044.
[24] 石运庆, 王建, 苗华荣, 胡晓辉, 陈静. 不同花生品种芽期抗旱性筛选及其田间验证. 山东农业科学, 2015, 47(2): 34-37.
Shi Y Q, Wang J, Miao H R, Hu X H, Chen J. Drought resistance screening of different peanut varieties at germination stage and its field validation. Shandong Agric Sci, 2015, 47(2): 34-37 (in Chinese with English abstract).
[25] 王彩, 万勇善, 刘风珍, 张昆. 苗期PEG渗透胁迫条件下花生品种抗旱性的研究. 山东农业科学, 2018, 50(6): 65-71.
Wang C, Wan Y S, Liu F Z, Zhang K. Study on drought resistance of peanut varieties at seedling stage under PEG-6000 osmotic stress. Shandong Agric Sci, 2018, 50(6): 65-71 (in Chinese with English abstract).
[26] Jiang C J, Li X L, Zou J X, Ren J Y, Jin C Y, Zhang H, Yu H Q, Jin H. Comparative transcriptome analysis of genes involved in the drought stress response of two peanut (Arachis hypogaea L.) varieties. BMC Plant Biol, 2021, 21: 64.
[27] Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R. 1000 Genome Project Data Processing Subgroup: the sequence alignment/map format and SAMtools. Bioinformatics, 2009, 25: 2078-2079.
doi: 10.1093/bioinformatics/btp352 pmid: 19505943
[28] Robinson M D, McCarthy D J, Smyth G K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics, 2010, 26: 139-140.
doi: 10.1093/bioinformatics/btp616 pmid: 19910308
[29] Chen S F, Zhou Y Q, Chen Y R, Gu J. Fastp: an ultra-fast all-in- one FASTQ preprocessor. Bioinformatics, 2018, 34: i884-i890.
[30] Kim D, Paggi J M, Park C, Bennett C, Salzberg S L. Graph-based genome alignment and genotyping with HISAT2 and HISAT- genotype. Nat Biotechnol, 2019, 37: 907-915.
[31] Chen C J, Chen H, Zhang Y, Thomas H R, Frank M H, He Y H, Xia R. TBtools: an integrative toolkit developed for interactive analyses of big biological data. Mol Plant, 2020, 13: 1194-1202.
doi: S1674-2052(20)30187-8 pmid: 32585190
[32] Yang S, Wang J G, Tang Z H, Li Y, Zhang J L, Guo F, Meng J J, Cui F, Li X G, Wan S B. Calcium/calmodulin modulates salt responses by binding a novel interacting protein SAMS1 in peanut (Arachis hypogaea L.). Crop J, 2023, 11: 21-32.
doi: 10.1016/j.cj.2022.06.007
[33] Livak K J, Schmittgen T D. Analysis of relative gene expression data using real-time quantitative PCR and the 2-ΔΔCT method. Methods, 2001, 25: 402-408.
doi: 10.1006/meth.2001.1262 pmid: 11846609
[34] Potter S C, Luciani A, Eddy S R, Park Y, Lopez R, Finn R D. HMMER web server: 2018 update. Nucleic Acids Res, 2018, 46: W200-W204.
[35] Bailey T L, Johnson J, Grant C E, Noble W S. The MEME suite. Nucleic Acids Res, 2015, 43: W39-W49.
[36] Spitz F, Furlong E E M. Transcription factors: from enhancer binding to developmental control. Nat Rev Genet, 2012, 13: 613-626.
doi: 10.1038/nrg3207 pmid: 22868264
[37] Kumar S, Stecher G, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol, 2016, 33: 1870-1874.
doi: 10.1093/molbev/msw054 pmid: 27004904
[38] Letunic I, Bork P. Interactive tree of life (iTOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Res, 2021, 49: W293-W296.
[39] Deng Y H, Chen Q J, Qu Y Y. Protein S-acyl transferase GhPAT27 was associated with Verticillium wilt resistance in cotton. Plants, 2022, 11: 2758.
[40] Li Q Z, Hu T, Lu T J, Yu B, Zhao Y.Calcium-dependent protein kinases CPK3/4/6/11 and 27 respond to osmotic stress and activate SnRK2s in Arabidopsis. Dev Cell, 2025, 60: 1423-1438.
[41] 刘小龙, 李霞, 钱宝云, 唐玉婷. 植物体内钙信号及其在调节干旱胁迫中的作用. 西北植物学报, 2014, 34: 1927-1936.
Liu X L, Li X, Qian B Y, Tang Y T. Ca2+ signal transduction and its regulation role under drought stress in plant. Acta Bot Boreali-Occident Sin, 2014, 34: 1927-1936 (in Chinese with English abstract).
[42] Morigasaki S, Shimada K, Ikner A, Yanagida M, Shiozaki K. Glycolytic enzyme GAPDH promotes peroxide stress signaling through multistep phosphorelay to a MAPK cascade. Mol Cell, 2008, 30: 108-113.
doi: 10.1016/j.molcel.2008.01.017 pmid: 18406331
[43] Kobayashi M, Ohura I, Kawakita K, Yokota N, Fujiwara M, Shimamoto K, Doke N, Yoshioka H. Calcium-dependent protein kinases regulate the production of reactive oxygen species by potato NADPH oxidase. Plant Cell, 2007, 19: 1065-1080.
doi: 10.1105/tpc.106.048884 pmid: 17400895
[44] Suzuki Y, Ishiyama K, Sugawara M, Suzuki Y, Kondo E, Takegahara-Tamakawa Y, Yoon D K, Suganami M, Wada S, Miyake C, et al. Overproduction of chloroplast glyceraldehyde-3- phosphate dehydrogenase improves photosynthesis slightly under elevated [CO2] conditions in rice. Plant Cell Physiol, 2021, 62: 156-165.
doi: 10.1093/pcp/pcaa149 pmid: 33289530
[45] 李敏, 伍国强, 魏明, 刘晨. 植物CDPK在响应逆境胁迫中的作用及机制. 生物工程学报, 2024, 40: 3337-3359.
Li M, Wu G Q, Wei M, Liu C. Functions and mechanisms of CDPKs in plant responses to abiotic stress. Chin J Biotechnol, 2024, 40: 3337-3359 (in Chinese with English abstract).
[46] Zou J J, Li X D, Ratnasekera D, Wang C, Liu W X, Song L F, Zhang W Z, Wu W H. Arabidopsis CALCIUM-DEPENDENT PROTEIN KINASE8 and CATALASE3 function in abscisic acid-mediated signaling and H2O2 homeostasis in stomatal guard cells under drought stress. Plant Cell, 2015, 27: 1445-1460.
[47] Zhu C G, Jing B Y, Lin T, Li X Y, Zhang M, Zhou Y H, Yu J Q, Hu Z J. Phosphorylation of sugar transporter TST2 by protein kinase CPK27 enhances drought tolerance in tomato. Plant Physiol, 2024, 195: 1005-1024.
doi: 10.1093/plphys/kiae124 pmid: 38431528
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