Evidence map›Paper›PMID 41546686›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026

Content characteristics and genetic architecture of macronutrient signatures in cottonseed.

Jintao Li, Chengxiang Song, Yangai Liu, Xiaoyu Pei, Zhiqiang Zhang, Zhongying Ren, Kunlun He, Fei Zhang, Jinfeng Guo, Jianhui Ma and 2 more

Abstract read
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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Jintao Li *Zhengzhou Research Base, State Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Agriculture and Biomanufacturing, Zhengzhou University, Zhengzhou, 450001, China.
Chengxiang SongHenan Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China.
Yangai LiuState Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Xiaoyu PeiState Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Zhiqiang ZhangZhengzhou Research Base, State Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Agriculture and Biomanufacturing, Zhengzhou University, Zhengzhou, 450001, China.
Zhongying RenState Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Kunlun HeState Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Fei ZhangState Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Jinfeng GuoState Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Jianhui MaCollege of Life Science, Henan Normal University, Xinxiang, 453007, China. cricaas@163.com.
Daigang YangZhengzhou Research Base, State Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Agriculture and Biomanufacturing, Zhengzhou University, Zhengzhou, 450001, China. yangdaigang@caas.cn.
Wei LiZhengzhou Research Base, State Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Agriculture and Biomanufacturing, Zhengzhou University, Zhengzhou, 450001, China. liwei@caas.cn.ORCID http://orcid.org/0000-0002-5666-037X

Funding

Major science and technology projects of Xinjiang Uygur Autonomous Region 2023A02001
6 · The paper itself

Abstract

key messageThis study reveals genetic factors influencing macronutrient content in cottonseeds, identifying key loci and candidate genes for breeding strategies to improve seed nutrition. Macronutrients such as potassium (K), calcium (Ca), and magnesium (Mg) are essential for crop growth, seed quality, and nutrition and health of humans and animals. Insufficient levels of these macronutrients in cottonseeds can lead to malnutrition in animals consuming cottonseed meal-based products. However, the variation and genetic basis of macronutrient content in cottonseeds remain unclear. Here, we investigated the content of K, Ca, and Mg in cottonseeds from 276 cotton accessions grown across diverse ecological regions in China. All three macronutrients exhibited continuous and considerable large variation in the population, with broad-sense heritability values of 70.14% for K, 65.11% for Ca, and 74.42% for Mg. Correlation and variance analysis showed significant positive correlations among the macronutrients and a strong genetic component underlying their variation. Using genome-wide association analysis with 10,660 high-quality single-nucleotide polymorphisms (SNPs) and multi-environment phenotype data, we identified 313 significant marker-trait associations (MTAs) and 159 quantitative trait loci (QTLs) related to these macronutrients. Notably, we detected a key candidate gene, Gh_D02G2194, encoding a subunit of the V-type H

Indexed as

GossypiumNutrientsQuantitative Trait LociCalciumChinaChromosome MappingGenetic Association StudiesGenome-Wide Association StudyGenotypeMagnesiumPhenotypePolymorphism, Single NucleotidePotassiumSeedsCalciumMagnesiumPotassium

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.