Systematic Analysis of Differentially Expressed Maize ZmbZIP Genes between Drought and Rewatering Transcriptome Reveals bZIP Family Members Involved in Abiotic Stress Responses

The basic leucine zipper ( ) family of transcription factors (TFs) regulate diverse phenomena during plant growth and development and are involved in stress responses and hormone signaling. However, only a few have been functionally characterized. In this paper, 54 maize genes were screened from pre...

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Veröffentlicht in:International journal of molecular sciences 2019-08, Vol.20 (17), p.4103
Hauptverfasser: Cao, Liru, Lu, Xiaomin, Zhang, Pengyu, Wang, Guorui, Wei, Li, Wang, Tongchao
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Sprache:eng
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Zusammenfassung:The basic leucine zipper ( ) family of transcription factors (TFs) regulate diverse phenomena during plant growth and development and are involved in stress responses and hormone signaling. However, only a few have been functionally characterized. In this paper, 54 maize genes were screened from previously published drought and rewatering transcriptomes. These genes were divided into nine groups in a phylogenetic analysis, supported by motif and intron/exon analyses. The 54 genes were unevenly distributed on 10 chromosomes and contained 18 segmental duplications, suggesting that segmental duplication events have contributed to the expansion of the maize family. Spatio-temporal expression analyses showed that genes are widely expressed during maize development. We identified 10 core involved in protein transport, transcriptional regulation, and cellular metabolism by principal component analysis, gene co-expression network analysis, and Gene Ontology enrichment analysis. In addition, 15 potential stress-responsive ZmbZIPs were identified by expression analyses. Localization analyses showed that , , , and are nuclear proteins. These results provide the basis for future functional genomic studies on TFs in maize and identify candidate genes with potential applications in breeding/genetic engineering for increased stress resistance. These data represent a high-quality molecular resource for selecting resistant breeding materials.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms20174103