QTL Mapping and GWAS for Field Kernel Water Content and Kernel Dehydration Rate Before Physiological Maturity in Maize

Overview

Journal Sci Rep

Specialty Science

Date 2020 Aug 6

PMID 32753586

Citations 4

Authors

Shufang Li

Chunxiao Zhang

Ming Lu

Deguang Yang

Yiliang Qian

Yaohai Yue

Zhijun Zhang

Fengxue Jin

Min Wang

Xueyan Liu

Wenguo Liu

Xiaohui Li

Affiliations

Soon will be listed here.

Abstract

Kernel water content (KWC) and kernel dehydration rate (KDR) are two main factors affecting maize seed quality and have a decisive influence on the mechanical harvest. It is of great importance to map and mine candidate genes related to KWCs and KDRs before physiological maturity in maize. 120 double-haploid (DH) lines constructed from Si287 with low KWC and JiA512 with high KWC were used as the mapping population. KWCs were measured every 5 days from 10 to 40 days after pollination, and KDRs were calculated. A total of 1702 SNP markers were used to construct a linkage map, with a total length of 1,309.02 cM and an average map distance of 0.77 cM. 10 quantitative trait loci (QTLs) and 27 quantitative trait nucleotides (QTNs) were detected by genome-wide composite interval mapping (GCIM) and multi-locus random-SNP-effect mixed linear model (mrMLM), respectively. One and two QTL hotspot regions were found on Chromosome 3 and 7, respectively. Analysis of the Gene Ontology showed that 2 GO terms of biological processes (BP) were significantly enriched (P ≤ 0.05) and 6 candidate genes were obtained. This study provides theoretical support for marker-assisted breeding of mechanical harvest variety in maize.

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