Evidence map›Paper›PMID 39261785›Full record

ArticleBMC genomics2024

Genetic analysis of QTLs for lysine content in four maize DH populations.

Xiaolei Zhang, Hongtao Wen, Jing Wang, Lin Zhao, Lei Chen, Jialei Li, Haitao Guan, Zhenhai Cui, Baohai Liu

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Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xiaolei ZhangQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, China.
Hongtao WenQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, China.
Jing WangQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, China.
Lin ZhaoQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, China.
Lei ChenHeilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, China.
Jialei LiFood Processing Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, China.
Haitao GuanQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, China. shslbh@163.com.
Zhenhai CuiKey Laboratory of Soybean Molecular Design Breeding, State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin, China. cuizhenhai@iga.ac.cn.
Baohai LiuQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, China. ght20080808@126.com.

Funding

Heilongjiang Scientific Research Business Expenses Project of China CZKYF2023-1-C001National Natural Science Foundation of China 32201798Scientific and Technological In Novation 2030 Agenda of China 2022ZD040190803
6 · The paper itself

Abstract

backgroundLow levels of the essential amino acid lysine in maize endosperm is considered to be a major problem regarding the nutritional quality of food and feed. Increasing the lysine content of maize is important to improve the quality of food and feed nutrition. Although the genetic basis of quality protein maize (QPM) has been studied, the further exploration of the quantitative trait loci (QTL) underlying lysine content variation still needs more attention.

resultsEight maize inbred lines with increased lysine content were used to construct four double haploid (DH) populations for identification of QTLs related to lysine content. The lysine content in the four DH populations exhibited continuous and normal distribution. A total of 12 QTLs were identified in a range of 4.42-12.66% in term of individual phenotypic variation explained (PVE) which suggested the quantitative control of lysine content in maize. Five main genes involved in maize lysine biosynthesis pathways in the QTL regions were identified in this study.

conclusionsThe information presented will allow the exploration of candidate genes regulating lysine biosynthesis pathways and be useful for marker-assisted selection and gene pyramiding in high-lysine maize breeding programs.

Indexed as

LysineQuantitative Trait LociZea maysChromosome MappingHaploidyPhenotypeLysineDouble haploid populationGenetic analysisLysine contentMaizeQPM

Identifiers

PMID39261785
PMCPMC11391625

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