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Large-scale analyses of heat shock transcription factors and database construction based on whole-genome genes in horticultural and representative plants
Author(s) -
Tong Yu,
Yun Bai,
Zhuo Liu,
Zhiyuan Wang,
Qihang Yang,
Tong Wu,
Shuyan Feng,
Yu Zhang,
Shaoqin Shen,
Qiang Li,
Liqiang Gu,
Xiaoming Song
Publication year - 2022
Publication title -
horticulture research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.947
H-Index - 31
eISSN - 2662-6810
pISSN - 2052-7276
DOI - 10.1093/hr/uhac035
Subject(s) - biology , gene , arabidopsis , heat shock factor , genetics , genome , synteny , brassica rapa , transcription factor , gene family , gene duplication , heat shock protein , hsp70 , mutant
Heat shock transcription factor (Hsf) plays a critical role in regulating heat resistance. Here, 2950 Hsf family genes were identified from 111 horticultural and representative plants. More Hsf genes were detected in higher plants than lower plants. Based on all Hsf genes, we constructed a phylogenetic tree, which indicated that Hsf genes of each branch evolved independently after species differentiation. Furthermore, we uncovered the evolutionary trajectories of Hsf genes by motif analysis. There were only 6 motifs (M1 to M6) in lower plants, and then 4 novel motifs (M7-M10) appeared in higher plants. However, the motifs of some Hsf genes were lost in higher plant, indicating that Hsf genes have undergone sequence variation during the evolution. The number of Hsf gene loss was more than duplication after whole-genome duplication in higher plants. The heat response network was constructed using 24 Hsf genes, 2421 downstream, and 222 upstream genes of Arabidopsis. Further enrichment analysis revealed that Hsf genes and other transcription factors interacted with each other to response heat resistance. The global expression maps were illustrated for Hsf genes under various abiotic, biotic stresses, and several developmental stages in Arabidopsis. The syntenic and phylogenetic analyses were conducted using Hsf genes of Arabidopsis and Pan-genome of 18 Brassica rapa accessions. We also performed the expression pattern analysis of Hsf and six Hsp family genes using expression values from different tissues and heat treatments in B. rapa. The interaction network between Hsf and Hsp gene families was constructed in B. rapa, and several core genes were detected in the network. Finally, we constructed a Hsf database (http://hsfdb.bio2db.com) for researchers to retrieve Hsf gene family information. Therefore, our study will provide rich resources for the evolution and functional study of Hsf genes.

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