Pan-Genome-Based Characterization of the SRS Transcription Factor Family in Foxtail Millet

The Short Internodes-Related Sequence (SRS) family, a class of plant-specific transcription factors crucial for diverse biological processes, was systematically investigated in foxtail millet using pan-genome data from 110 core germplasm resources as well as two high-quality genomes (<i>xm</i> and Yu1). We identified SRS members and analyzed their intra-species distribution patterns, including copy number variation (CNV) and interchromosomal translocations. A novel standardized nomenclature (<i>Accession_SiSRSN[.n]_xDy or xTy</i>) was proposed to unify gene family nomenclature, enabling the direct visualization of member number variation across germplasms and the identification of core/variable members while highlighting chromosomal translocations. Focusing on the two high-quality genomes, both harboring six core SRS members, we performed whole-genome collinearity analysis with Arabidopsis, rice, maize, soybean, and green foxtail. Ka/Ks analysis of collinear gene pairs revealed purifying selection acting on <i>SiSRS</i> genes. Promoter analysis identified abundant stress-responsive <i>cis</i>-elements. Among core members, the <i>xm_SiSRS5</i> gene exhibited the highest expression during vegetative growth but showed significant downregulation under drought and salt stress, suggesting its role as a key negative regulator in abiotic stress responses. This study demonstrates the utility of pan-genomics in resolving gene family dynamics and establishes <i>SiSRS5</i> as a critical target for stress tolerance engineering in foxtail millet.

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Publication Details

Journal
Plants
Published
2025-04-20
DOI
https://doi.org/10.3390/plants14081257
Citations
1
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
1.82

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article

Pan-Genome-Based Characterization of the SRS Transcription Factor Family in Foxtail Millet

Cui‐Yun Lei, Xiaomeng Guo, Xiting Cui, Ruimiao Li et al.
1 citations
Plants
Genetic Mapping and Diversity in Plants and Animals
1.82
article

Pan-Genome-Based Characterization of the SRS Transcription Factor Family in Foxtail Millet

Cui‐Yun Lei, Xiaomeng Guo, Xiting Cui, Ruimiao Li, Xingchun Wang, Qiang Zhang, Jianhua Gao, Xukai Li
article en
1 citations

Abstract

The Short Internodes-Related Sequence (SRS) family, a class of plant-specific transcription factors crucial for diverse biological processes, was systematically investigated in foxtail millet using pan-genome data from 110 core germplasm resources as well as two high-quality genomes (<i>xm</i> and Yu1). We identified SRS members and analyzed their intra-species distribution patterns, including copy number variation (CNV) and interchromosomal translocations. A novel standardized nomenclature (<i>Accession_SiSRSN[.n]_xDy or xTy</i>) was proposed to unify gene family nomenclature, enabling the direct visualization of member number variation across germplasms and the identification of core/variable members while highlighting chromosomal translocations. Focusing on the two high-quality genomes, both harboring six core SRS members, we performed whole-genome collinearity analysis with Arabidopsis, rice, maize, soybean, and green foxtail. Ka/Ks analysis of collinear gene pairs revealed purifying selection acting on <i>SiSRS</i> genes. Promoter analysis identified abundant stress-responsive <i>cis</i>-elements. Among core members, the <i>xm_SiSRS5</i> gene exhibited the highest expression during vegetative growth but showed significant downregulation under drought and salt stress, suggesting its role as a key negative regulator in abiotic stress responses. This study demonstrates the utility of pan-genomics in resolving gene family dynamics and establishes <i>SiSRS5</i> as a critical target for stress tolerance engineering in foxtail millet.

PlantsVol. 14(8)
Shanxi Agricultural University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Life in Land
Openalex Percentile: Top 17%
Genetic Mapping and Diversity in Plants and Animals
1.82
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