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
  • [21] Identification of specific modules and significant genes associated with colon cancer by weighted gene co-expression network analysis
    Feng, Ye
    Li, Yanbo
    Li, Lin
    Wang, Xuefeng
    Chen, Zhi
    MOLECULAR MEDICINE REPORTS, 2019, 20 (01) : 693 - 700
  • [22] Identification of Hub Genes Associated With Development and Microenvironment of Hepatocellular Carcinoma by Weighted Gene Co-expression Network Analysis and Differential Gene Expression Analysis
    Bai, Qingquan
    Liu, Haoling
    Guo, Hongyu
    Lin, Han
    Song, Xuan
    Jin, Ye
    Liu, Yao
    Guo, Hongrui
    Liang, Shuhang
    Song, Ruipeng
    Wang, Jiabei
    Qu, Zhibo
    Guo, Huaxin
    Jiang, Hongchi
    Liu, Lianxin
    Yang, Haiyan
    FRONTIERS IN GENETICS, 2020, 11
  • [23] Weighted gene co-expression analysis for identification of key genes regulating heat stress in wheat
    Mishra, Dwijesh Chandra
    Arora, Devender
    Kumar, Ranjeet Ranjan
    Goswami, Suneha
    Varshney, Shivangi
    Budhlakoti, Neeraj
    Kumar, Sanjeev
    Chaturvedi, Krishna Kumar
    Sharma, Anu
    Chinnusamy, Viswanathan
    Rai, Anil
    CEREAL RESEARCH COMMUNICATIONS, 2021, 49 (01) : 73 - 81
  • [24] Identification of the hub genes in gastric cancer through weighted gene co-expression network analysis
    Li, Chunyang
    Yu, Haopeng
    Sun, Yajing
    Zeng, Xiaoxi
    Zhang, Wei
    PEERJ, 2021, 9
  • [25] Weighted gene co-expression analysis for identification of key genes regulating heat stress in wheat
    Dwijesh Chandra Mishra
    Devender Arora
    Ranjeet Ranjan Kumar
    Suneha Goswami
    Shivangi Varshney
    Neeraj Budhlakoti
    Sanjeev Kumar
    Krishna Kumar Chaturvedi
    Anu Sharma
    Viswanathan Chinnusamy
    Anil Rai
    Cereal Research Communications, 2021, 49 : 73 - 81
  • [26] Identification of signature of gene expression in biliary atresia using weighted gene co-expression network analysis
    Wang, Yongliang
    Yuan, Hongtao
    Zhao, Maojun
    Fang, Li
    MEDICINE, 2022, 101 (37) : E30232
  • [27] Identifying osteosarcoma metastasis associated genes by weighted gene co-expression network analysis (WGCNA)
    Tian, Honglai
    Guan, Donghui
    Li, Jianmin
    MEDICINE, 2018, 97 (24)
  • [28] Identification of Hub Genes Associated With Hepatocellular Carcinoma Using Robust Rank Aggregation Combined With Weighted Gene Co-expression Network Analysis
    Song, Hao
    Ding, Na
    Li, Shang
    Liao, Jianlong
    Xie, Aimin
    Yu, Youtao
    Zhang, Chunlong
    Ni, Caifang
    FRONTIERS IN GENETICS, 2020, 11
  • [29] Identification of core genes associated with different phosphorus levels in quinoa seedlings by weighted gene co-expression network analysis
    Shan Zhang
    Jian Liu
    Lian Shi
    Qianchao Wang
    Ping Zhang
    Hongxin Wang
    Junna Liu
    Hanxue Li
    Li Li
    Xinyi Li
    Liubin Huang
    Peng Qin
    BMC Genomics, 24
  • [30] Identification of Metastasis-Associated Genes in Triple-Negative Breast Cancer Using Weighted Gene Co-expression Network Analysis
    Xie, Wenting
    Du, Zhongshi
    Chen, Yijie
    Liu, Naxiang
    Zhong, Zhaoming
    Shen, Youhong
    Tang, Lina
    EVOLUTIONARY BIOINFORMATICS, 2020, 16