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Research paper | Open Access

QTL mapping and transcriptome analysis identify candidate genes influencing water–nitrogen interaction in maize

Kunhui Hea,1Yakun Zhanga,1Wei RenaPengyun ChenaJianchao LiubGuohua MiaFanjun Chena,cQingchun Pana,c( )
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
College of Agronomy, Northwest A&F University, Yangling 712100, Shaanxi, China
Sanya Institute of China Agricultural University, Sanya 572000, Hainan, China

1 These authors contributed equally to this work.

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Abstract

Water and nitrogen fertilization are the key factors limiting maize productivity. The genetic basis of interactions between maize genotype, water, and nitrogen is unclear. A recombinant inbred line (RIL) maize population was evaluated for seven yield and five agronomic traits under four water and nitrogen conditions: water stress and low nitrogen, water stress and high nitrogen, well-watered and low nitrogen, and well-watered and high nitrogen. Respectively eight, six, and six traits varied in response to genotype–water interactions, genotype–nitrogen interactions, and genotype–water–nitrogen interactions. Using a linkage map consisting of 896 single-nucleotide polymorphism markers and multiple-environmental quantitative-trait locus (QTL) mapping, we identified 31 QTL, including 12 for genotype–water–nitrogen interaction, across the four treatments. A set of 8060 genes were differentially expressed among treatments. Integrating genetic analysis, gene co-expression, and functional annotation revealed two candidate genes controlling genotype–water–nitrogen interactions, affecting both leaf width and grain yield. Genes involved in abscisic acid biosynthesis and bZIP, NAC, and WRKY transcription factors participated in maize response to water and nitrogen conditions. These results represent a step toward understanding the genetic regulatory network of maize that responds to water and nitrogen stress and provide a theoretical basis for the genetic improvement of both water- and nitrogen-use efficiency.

The Crop Journal
Pages 1872-1883
Cite this article:
He K, Zhang Y, Ren W, et al. QTL mapping and transcriptome analysis identify candidate genes influencing water–nitrogen interaction in maize. The Crop Journal, 2023, 11(6): 1872-1883. https://doi.org/10.1016/j.cj.2023.09.001

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Received: 05 April 2023
Revised: 03 September 2023
Accepted: 07 September 2023
Published: 19 September 2023
© 2023 Crop Science Society of China and Institute of Crop Science, CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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