Genome-Wide Identification, Evolution, and Expression Analysis of GASA Gene Family in Prunus mume .
Man ZhangWenhui ChengJia WangTangren ChengQixiang ZhangPublished in: International journal of molecular sciences (2022)
The Gibberellic Acid Stimulated Arabidopsis/Gibberellin Stimulated Transcript (GASA/GAST) gene family is a group of plant-specific genes encoding cysteine-rich peptides essential to plant growth, development, and stress responses. Although GASA family genes have been identified in various plant species, their functional roles in Prunus mume are still unknown. In this study, a total of 16 PmGASA genes were identified via a genome-wide scan in Prunus mume and were grouped into three major gene clades based on the phylogenetic tree. All PmGASA proteins possessed the conserved GASA domain, consisting of 12-cysteine residues, but varied slightly in protein physiochemical properties and motif composition. With evolutionary analysis, we observed that duplications and purifying selection are major forces driving PmGASA family gene evolution. By analyzing PmGASA promoters, we detected a number of hormonal-response related cis-elements and constructed a putative transcriptional regulatory network for PmGASAs . To further understand the functional role of PmGASA genes, we analyzed the expression patterns of PmGASAs across different organs and during various biological processes. The expression analysis revealed the functional implication of PmGASA gene members in gibberellic acid-, abscisic acid-, and auxin-signaling, and during the progression of floral bud break in P. mume . To summarize, these findings provide a comprehensive understanding of GASA family genes in P. mume and offer a theoretical basis for future research on the functional characterization of GASA genes in other woody perennials.
Keyphrases
- genome wide identification
- transcription factor
- genome wide
- dna methylation
- magnetic resonance imaging
- plant growth
- computed tomography
- copy number
- type diabetes
- magnetic resonance
- genome wide analysis
- binding protein
- metabolic syndrome
- poor prognosis
- amino acid
- oxidative stress
- wastewater treatment
- bioinformatics analysis
- insulin resistance
- adipose tissue
- fluorescent probe
- long non coding rna
- current status
- contrast enhanced
- data analysis