Variation in Rubisco activase (RCA) gene promoters and expression in soybean [Glycine max (L.) Merr.]

被引:33
作者
Chao, Maoni [1 ]
Yin, Zhitong [2 ]
Hao, Derong [3 ]
Zhang, Jinyu [1 ]
Song, Haina [1 ]
Ning, Ailing [1 ]
Xu, Xiaoming [4 ]
Yu, Deyue [1 ]
机构
[1] Nanjing Agr Univ, Natl Ctr Soybean Improvement, Natl Key Lab Crop Genet & Germplasm Enhancement, Nanjing 210095, Jiangsu, Peoples R China
[2] Yangzhou Univ, Jiangsu Prov Key Lab Crop Genet & Physiol, Yangzhou 225009, Peoples R China
[3] Jiangsu Yanjiang Inst Agr Sci, Nantong 226541, Peoples R China
[4] Nanjing Agr Univ, Photosynth Res Lab, Coll Life Sci, Nanjing 210095, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Allele mining; eQTL; photosynthesis; promoter; Rubisco activase; seed yield; soybean [Glycine max (L; ) Merr; RIBULOSE-1,5-BISPHOSPHATE CARBOXYLASE/OXYGENASE ACTIVASE; TRAIT LOCI ANALYSIS; NATURAL VARIATION; CIRCADIAN CLOCK; ARABIDOPSIS-THALIANA; REGULATORY ELEMENTS; FUNCTIONAL-ANALYSIS; PROTEIN SEQUENCES; HIGH-TEMPERATURE; ORYZA-SATIVA;
D O I
10.1093/jxb/ert346
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Understanding the genetic basis of Rubisco activase (RCA) gene regulation and altering its expression levels to optimize Rubisco activation may provide an approach to enhance plant productivity. However, the genetic mechanisms and the effect of RCA expression on phenotype are still unknown in soybean. This work analysed the expression of RCA genes and demonstrated that two RCA isoforms presented different expression patterns. Compared with GmRCA, GmRCA was expressed at higher mRNA and protein levels. In addition, GmRCA and GmRCA were positively correlated with chlorophyll fluorescence parameters and seed yield, suggesting that changes in expression of RCA has a potential applicability in breeding for enhanced soybean productivity. To identify the genetic factors that cause expression level variation of GmRCA, expression quantitative trait loci (eQTL) mapping was combined with allele mining in a natural population including 219 landraces. The eQTL mapping showed that a combination of both cis- and trans-acting eQTLs might control GmRCA expression. As promoters can affect both cis- and trans-acting eQTLs by altering cis-acting regulatory elements or transcription factor binding sites, this work subsequently focused on the promoter region of GmRCA. Single-nucleotide polymorphisms in the GmRCA promoter were identified and shown to correlate with expression level diversity. These SNPs were classified into two groups, A and B. Further transient expression showed that GUS expression driven by the group A promoter was stronger than that by the group B promoter, suggesting that promoter sequence types could influence gene expression levels. These results would improve understanding how variation within promoters affects gene expression and, ultimately, phenotypic diversity in natural populations.
引用
收藏
页码:47 / 59
页数:13
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