Transcriptome and association mapping revealed functional genes respond to drought stress in Populus

Autor: Fangyuan Song, Jiaxuan Zhou, Mingyang Quan, Liang Xiao, Wenjie Lu, Shitong Qin, Yuanyuan Fang, Dan Wang, Peng Li, Qingzhang Du, Yousry A. El-Kassaby, Deqiang Zhang
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Plant Science, Vol 13 (2022)
Druh dokumentu: article
ISSN: 1664-462X
DOI: 10.3389/fpls.2022.829888
Popis: Drought frequency and severity are exacerbated by global climate change, which could compromise forest ecosystems. However, there have been minimal efforts to systematically investigate the genetic basis of the response to drought stress in perennial trees. Here, we implemented a systems genetics approach that combines co-expression analysis, association genetics, and expression quantitative trait nucleotide (eQTN) mapping to construct an allelic genetic regulatory network comprising four key regulators (PtoeIF-2B, PtoABF3, PtoPSB33, and PtoLHCA4) under drought stress conditions. Furthermore, Hap_01PtoeIF-2B, a superior haplotype associated with the net photosynthesis, was revealed through allelic frequency and haplotype analysis. In total, 75 candidate genes related to drought stress were identified through transcriptome analyses of five Populus cultivars (P. tremula × P. alba, P. nigra, P. simonii, P. trichocarpa, and P. tomentosa). Through association mapping, we detected 92 unique SNPs from 38 genes and 104 epistatic gene pairs that were associated with six drought-related traits by association mapping. eQTN mapping unravels drought stress-related gene loci that were significantly associated with the expression levels of candidate genes for drought stress. In summary, we have developed an integrated strategy for dissecting a complex genetic network, which facilitates an integrated population genomics approach that can assess the effects of environmental threats.
Databáze: Directory of Open Access Journals