Genome-Wide Sequence and Expression Analysis of the NAC Transcription Factor Family in Polyploid Wheat

Research output: Contribution to journalArticlepeer-review

Authors

Colleges, School and Institutes

External organisations

  • John Innes Centre

Abstract

Many important genes in agriculture correspond to transcription factors (TFs) that regulate a wide range of pathways from flowering to responses to disease and abiotic stresses. In this study, we identified 5776 TFs in hexaploid wheat (Triticum aestivum) and classified them into gene families. We further investigated the NAC family exploring the phylogeny, C-terminal domain (CTD) conservation, and expression profiles across 308 RNA-seq samples. Phylogenetic trees of NAC domains indicated that wheat NACs divided into eight groups similar to rice (Oryza sativa) and barley (Hordeum vulgare). CTD motifs were frequently conserved between wheat, rice, and barley within phylogenetic groups; however, this conservation was not maintained across phylogenetic groups. Three homeologous copies were present for 58% of NACs, whereas evidence of single homeolog gene loss was found for 33% of NACs. We explored gene expression patterns across a wide range of developmental stages, tissues, and abiotic stresses. We found that more phylogenetically related NACs shared more similar expression patterns compared to more distant NACs. However, within each phylogenetic group there were clades with diverse expression profiles. We carried out a coexpression analysis on all wheat genes and identified 37 modules of coexpressed genes of which 23 contained NACs. Using gene ontology (GO) term enrichment, we obtained putative functions for NACs within coexpressed modules including responses to heat and abiotic stress and responses to water: these NACs may represent targets for breeding or biotechnological applications. This study provides a framework and data for hypothesis generation for future studies on NAC TFs in wheat.

Details

Original languageEnglish
Pages (from-to)3019-3029
Number of pages11
JournalG3: Genes, Genomes, Genetics (Bethesda)
Volume7
Issue number9
Publication statusPublished - 7 Sep 2017

Keywords

  • Computational Biology/methods, Databases, Genetic, Gene Expression Regulation, Developmental, Gene Expression Regulation, Plant, Genes, Plant, Genome, Plant, Genome-Wide Association Study, Multigene Family, Organ Specificity/genetics, Oryza/genetics, Phylogeny, Plant Proteins/genetics, Polyploidy, Stress, Physiological/genetics, Transcription Factors/genetics, Triticum/genetics