Identification of genes associated with abiotic stress tolerance in sweetpotato using weighted gene co-expression network analysis

被引:0
|
作者
Kitavi, Mercy [1 ,2 ]
Gemenet, Dorcus C. [3 ,4 ]
Wood, Joshua C. [2 ]
Hamilton, John P. [2 ,5 ]
Wu, Shan [6 ]
Fei, Zhangjun [6 ]
Khan, Awais [7 ]
Buell, C. Robin [2 ,5 ,8 ]
机构
[1] Michigan State Univ, Res Technol Support Facil RTSF, E Lansing, MI 48824 USA
[2] Univ Georgia, Ctr Appl Genet Technol, Athens, GA USA
[3] Int Potato Ctr, Lima, Peru
[4] Int Maize & Wheat Improvement Ctr CIMMYT, ICRAF House, Nairobi, Kenya
[5] Univ Georgia, Dept Crop & Soil Sci, Athens, GA USA
[6] Cornell Univ, Boyce Thompson Inst, Ithaca, NY USA
[7] Cornell Univ, Sch Integrat Plant Sci, Plant Pathol & Plant Microbe Biol Sect, Geneva, NY USA
[8] Univ Georgia, Inst Plant Breeding Genet & Genom, Athens, GA USA
基金
比尔及梅琳达.盖茨基金会;
关键词
abiotic stress; differentially expressed genes; sweetpotato; weighted gene co-expression network; TRANSCRIPTIONAL REGULATORY NETWORKS; GENOME-WIDE IDENTIFICATION; HEAT-STRESS; ABSCISIC-ACID; WATER-DEFICIT; ARABIDOPSIS-THALIANA; TRITICUM-AESTIVUM; DROUGHT TOLERANCE; TRANSPORTER GENE; OSMOTIC-STRESS;
D O I
10.1002/pld3.532
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Sweetpotato, Ipomoea batatas (L.), a key food security crop, is negatively impacted by heat, drought, and salinity stress. The orange-fleshed sweetpotato cultivar "Beauregard" was exposed to heat, salt, and drought treatments for 24 and 48 h to identify genes responding to each stress condition in leaves. Analysis revealed both common (35 up regulated, 259 down regulated genes in the three stress conditions) and unique sets of up regulated (1337 genes by drought, 516 genes by heat, and 97 genes by salt stress) and down regulated (2445 genes by drought, 678 genes by heat, and 204 genes by salt stress) differentially expressed genes (DEGs) suggesting common, yet stress-specific transcriptional responses to these three abiotic stressors. Gene Ontology analysis of down regulated DEGs common to both heat and salt stress revealed enrichment of terms associated with "cell population proliferation" suggestive of an impact on the cell cycle by the two stress conditions. To identify shared and unique gene co-expression networks under multiple abiotic stress conditions, weighted gene co-expression network analysis was performed using gene expression profiles from heat, salt, and drought stress treated 'Beauregard' leaves yielding 18 co-expression modules. One module was enriched for "response to water deprivation," "response to abscisic acid," and "nitrate transport" indicating synergetic crosstalk between nitrogen, water, and phytohormones with genes encoding osmotin, cell expansion, and cell wall modification proteins present as key hub genes in this drought-associated module. This research lays the groundwork for exploring to a further degree, mechanisms for abiotic stress tolerance in sweetpotato.
引用
收藏
页数:22
相关论文
共 50 条
  • [11] The Identification and Validation of Hub Genes Associated with Acute Myocardial Infarction Using Weighted Gene Co-Expression Network Analysis
    Xue, Junqiang
    Chen, Lu
    Cheng, Hao
    Song, Xiaoyue
    Shi, Yuekai
    Li, Linnan
    Xu, Rende
    Qin, Qing
    Ma, Jianying
    Ge, Junbo
    JOURNAL OF CARDIOVASCULAR DEVELOPMENT AND DISEASE, 2022, 9 (01)
  • [12] Identification of key genes associated with spermatogenesis arrest in fox hybrids using weighted gene co-expression network analysis
    Yang, Tong'ao
    Liu, Huamiao
    Yang, Yahan
    Hu, Pengfei
    Song, Xingchao
    Peng, Yinghua
    Yang, Fuhe
    THERIOGENOLOGY, 2020, 147 : 92 - 101
  • [13] The identification and verification of hub genes associated with pulmonary arterial hypertension using weighted gene co-expression network analysis
    Wu, Weibin
    Chen, Ai
    Lin, Siming
    Wang, Qiuran
    Lian, Guili
    Luo, Li
    Xie, Liangdi
    BMC PULMONARY MEDICINE, 2022, 22 (01)
  • [14] Identification of key module and hub genes in pulpitis using weighted gene co-expression network analysis
    Zhang, Denghui
    Zheng, Chen
    Zhu, Tianer
    Yang, Fan
    Zhou, Yiqun
    BMC ORAL HEALTH, 2023, 23 (01)
  • [15] Identification of key module and hub genes in pulpitis using weighted gene co-expression network analysis
    Denghui Zhang
    Chen Zheng
    Tianer Zhu
    Fan Yang
    Yiqun Zhou
    BMC Oral Health, 23
  • [16] Identification of gene modules and hub genes associated with Colletotrichum siamense infection in mango using weighted gene co-expression network analysis
    Liu, Zongling
    Zhu, Zhengjie
    Huang, Yuanhe
    Nong, Song
    Jiang, Minli
    Yi, Sangui
    Xie, Delong
    Hu, Hongliu
    BMC GENOMICS, 2023, 24 (01)
  • [17] Identification of gene modules and hub genes associated with Colletotrichum siamense infection in mango using weighted gene co-expression network analysis
    Zongling Liu
    Zhengjie Zhu
    Yuanhe Huang
    Song Nong
    Minli Jiang
    Sangui Yi
    Delong Xie
    Hongliu Hu
    BMC Genomics, 24
  • [18] Identification of Infertility-Associated Topologically Important Genes Using Weighted Co-expression Network Analysis
    Wu, Jingni
    Xia, Xiaomeng
    Hu, Ye
    Fang, Xiaoling
    Orsulic, Sandra
    FRONTIERS IN GENETICS, 2021, 12
  • [19] Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis
    Darvish, Zeinab
    Ghanbari, Saeed
    Afshar, Saeid
    Tapak, Leili
    Amini, Payam
    CELL JOURNAL, 2023, 25 (06) : 418 - 426
  • [20] Identification of Hub Genes Associated with the Development of Acute Kidney Injury by Weighted Gene Co-Expression Network Analysis
    Lin, Xiao
    Li, Jianchun
    Tan, Ruizhi
    Zhong, Xia
    Yang, Jieke
    Wang, Li
    KIDNEY & BLOOD PRESSURE RESEARCH, 2021, 46 (01): : 63 - 73