Open Access

ARTICLE

Meta-Analysis of Flowering-Related Traits and Mining of Candidate Genes in Maize

Jianyu Lu¹, Qingping Jiang¹, Tongyu Liu¹, Yangyang Zhou¹, Mengtong Liu¹, Jing Qu², Yiyong Ma^2,*, Shuyan Guan^2,*

1 College of Life Sciences, Jilin Agricultural University, Changchun, 130118, China
2 College of Agronomy, Jilin Agricultural University, Changchun, 130118, China

* Corresponding Authors: Yiyong Ma. Email: ; Shuyan Guan. Email:

Phyton-International Journal of Experimental Botany 2022, 91(6), 1199-1209. https://doi.org/10.32604/phyton.2022.019298

Received 15 September 2021; Accepted 15 November 2021; Issue published 14 February 2022

Abstract

Maize flowering is an important agronomic character, which is controlled by quantitative trait loci (QTL). Over the years, a large number of flowering-related QTL have been found in maize and exist in public databases. However, combining these data, re-analyzing and mining candidate loci and fine mapping of flowering-related traits to reduce confidence intervals has become a hot issue in maize. In this study, the QTL of 6 important agronomic traits of maize flowering were collected from 15 published articles, including flowering period (DA), Days to tasseling (DTT), Days to silking (DS), Days to pollen shedding (DTP), anthesis-silking interval (ASI) and the photosensitive (PS). Through meta-analysis, 622 QTL were integrated into 26 meta-QTLs (MQTL). Finally, the candidate genes related to maize flowering (Gene IDs: ZM00001D005791, ZM00001D019045, ZM00001D050697, ZM00001D011139) were identified by Gene Ontology (GO) enrichment and hierarchical cluster analysis of expression profile. Based on the results of this study, the genetic characteristics of maize flowering traits will be further analyzed, which is of great significance to guide the improvement of important agronomic characters and improve the efficiency of breeding.

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Keywords

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Supplementary Material

Supplementary Material File

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