Genome-wide analysis of expression quantitative trait loci (eQTLs) reveals the regulatory architecture of gene expression variation in the storage roots of sweet potato. (1st June 2020)

• Record Type: Journal Article
• Authors: Zhang, Lei; Yu, Yicheng; Shi, Tianye; Kou, Meng; Sun, Jian; Xu, Tao; Li, Qiang; Wu, Shaoyuan; Cao, Qinghe; Hou, Wenqian; Li, Zongyun
• Is Part Of: Horticulture research. Volume 7(2020)
• Publication Date: 2020-06-01
• Subjects: Agricultural genetics -- Gene expression -- Gene regulation -- Genome-wide association studies -- Natural variation in plants; Horticulture -- Research -- Periodicals; 635.072
• DOI: 10.1038/s41438-020-0314-4
• Languages: English
• ISSNs: 2052-7276

Abstract

Abstract: Dissecting the genetic regulation of gene expression is critical for understanding phenotypic variation and species evolution. However, our understanding of the transcriptional variability in sweet potato remains limited. Here, we analyzed two publicly available datasets to explore the landscape of transcriptomic variations and its genetic basis in the storage roots of sweet potato. The comprehensive analysis identified a total of 724, 438 high-confidence single nucleotide polymorphisms (SNPs) and 26, 026 expressed genes. Expression quantitative trait locus (eQTL) analysis revealed 4408 eQTLs regulating the expression of 3646 genes, including 2261 local eQTLs and 2147 distant eQTLs. Two distant eQTL hotspots were found with target genes significantly enriched in specific functional classifications. By combining the information from regulatory network analyses, eQTLs and association mapping, we found that IbMYB1-2 acts as a master regulator and is the major gene responsible for the activation of anthocyanin biosynthesis in the storage roots of sweet potato. Our study provides the first insight into the genetic architecture of genome-wide expression variation in sweet potato and can be used to investigate the potential effects of genetic variants on key agronomic traits in sweet potato.