全基因组关联研究和全基因组预测揭示了玉米 KRN 的遗传结构。

Genome-wide association studies and whole-genome prediction reveal the genetic architecture of KRN in maize.

机构信息

Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.

出版信息

BMC Plant Biol. 2020 Oct 27;20(1):490. doi: 10.1186/s12870-020-02676-x.

Abstract

BACKGROUND

Kernel row number (KRN) is an important trait for the domestication and improvement of maize. Exploring the genetic basis of KRN has great research significance and can provide valuable information for molecular assisted selection.

RESULTS

In this study, one single-locus method (MLM) and six multilocus methods (mrMLM, FASTmrMLM, FASTmrEMMA, pLARmEB, pKWmEB and ISIS EM-BLASSO) of genome-wide association studies (GWASs) were used to identify significant quantitative trait nucleotides (QTNs) for KRN in an association panel including 639 maize inbred lines that were genotyped by the MaizeSNP50 BeadChip. In three phenotyping environments and with best linear unbiased prediction (BLUP) values, the seven GWAS methods revealed different numbers of KRN-associated QTNs, ranging from 11 to 177. Based on these results, seven important regions for KRN located on chromosomes 1, 2, 3, 5, 9, and 10 were identified by at least three methods and in at least two environments. Moreover, 49 genes from the seven regions were expressed in different maize tissues. Among the 49 genes, ARF29 (Zm00001d026540, encoding auxin response factor 29) and CKO4 (Zm00001d043293, encoding cytokinin oxidase protein) were significantly related to KRN, based on expression analysis and candidate gene association mapping. Whole-genome prediction (WGP) of KRN was also performed, and we found that the KRN-associated tagSNPs achieved a high prediction accuracy. The best strategy was to integrate all of the KRN-associated tagSNPs identified by all GWAS models.

CONCLUSIONS

These results aid in our understanding of the genetic architecture of KRN and provide useful information for genomic selection for KRN in maize breeding.

摘要

背景

玉米的 kernel row number(KRN)是一个重要的驯化和改良特征。研究 KRN 的遗传基础具有重要的研究意义,可以为分子辅助选择提供有价值的信息。

结果

本研究利用单一位点法(MLM)和六种多位点法(mrMLM、FASTmrMLM、FASTmrEMMA、pLARmEB、pKWmEB 和 ISIS EM-BLASSO)对包含 639 个玉米自交系的关联群体进行全基因组关联分析(GWAS),鉴定与 KRN 相关的显著数量性状核苷酸(QTNs)。在三个表型环境下,使用最佳线性无偏预测(BLUP)值,这七种 GWAS 方法揭示了 KRN 相关 QTN 的数量不同,范围从 11 到 177 个。基于这些结果,通过至少三种方法和至少两个环境鉴定了与 KRN 相关的七个重要区域,这些区域位于染色体 1、2、3、5、9 和 10 上。此外,七个区域中的 49 个基因在不同的玉米组织中表达。在这 49 个基因中,ARF29(Zm00001d026540,编码生长素响应因子 29)和 CKO4(Zm00001d043293,编码细胞分裂素氧化酶蛋白)的表达分析和候选基因关联图谱显示与 KRN 显著相关。还进行了 KRN 的全基因组预测(WGP),发现与 KRN 相关的标记 SNP 具有较高的预测准确性。最佳策略是整合所有 GWAS 模型鉴定的与 KRN 相关的标记 SNP。

结论

这些结果有助于了解 KRN 的遗传结构,并为玉米育种中 KRN 的基因组选择提供有用的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca21/7590725/f43619f7c9ea/12870_2020_2676_Fig1_HTML.jpg

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