Evidence map›Paper›PMID 35039628›Full record

ArticleCommunications biology2022

Genomic interrogation of a MAGIC population highlights genetic factors controlling fiber quality traits in cotton.

Maojun Wang, Zhengyang Qi, Gregory N Thyssen, Marina Naoumkina, Johnie N Jenkins, Jack C McCarty, Yingjie Xiao, Jianying Li, Xianlong Zhang, David D Fang

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 35 citations in OpenAlex.

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  7. Genetic basis and role of exotic accessions in cultivated cotton fiber quality improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  13. A GWAS identified loci and candidate genes associated with fiber quality traits in a new cotton MAGIC population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
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  19. Aspartyl proteases identified as candidate genes of a fiber length QTL, qFLTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Maojun Wang *Cotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA, 70124, USA.ORCID http://orcid.org/0000-0002-4791-3742
Zhengyang Qi *National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 430070, Wuhan, Hubei, China.
Gregory N ThyssenCotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA, 70124, USA.
Marina NaoumkinaCotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA, 70124, USA.
Johnie N JenkinsGenetics & Sustainable Agriculture Research Unit, USDA-ARS, Mississippi State, MS, 39762, USA.ORCID http://orcid.org/0000-0002-3586-8411
Jack C McCartyGenetics & Sustainable Agriculture Research Unit, USDA-ARS, Mississippi State, MS, 39762, USA.ORCID http://orcid.org/0000-0002-3907-8265
Yingjie XiaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 430070, Wuhan, Hubei, China.
Jianying LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 430070, Wuhan, Hubei, China.
Xianlong ZhangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 430070, Wuhan, Hubei, China. xlzhang@mail.hzau.edu.cn.
David D FangCotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA, 70124, USA. david.fang@usda.gov.ORCID http://orcid.org/0000-0003-0036-5459
Huazhong Agricultural University · CNBioscience Research · USMississippi State University · US

Funding

Cotton Incorporated (Cotton Inc.) 19-916United States Department of Agriculture | Agricultural Research Service (USDA Agricultural Research Service) 6054-21000-018-00D
6 · The paper itself

Abstract

Cotton (Gossypium hirsutum L.) fiber is the most important resource of natural and renewable fiber for the textile industry. However, the understanding of genetic components and their genome-wide interactions controlling fiber quality remains fragmentary. Here, we sequenced a multiple-parent advanced-generation inter-cross (MAGIC) population, consisting of 550 individuals created by inter-crossing 11 founders, and established a mosaic genome map through tracing the origin of haplotypes that share identity-by-descent (IBD). We performed two complementary GWAS methods-SNP-based GWAS (sGWAS) and IBD-based haplotype GWAS (hGWAS). A total of 25 sQTLs and 14 hQTLs related to cotton fiber quality were identified, of which 26 were novel QTLs. Two major QTLs detected by both GWAS methods were responsible for fiber strength and length. The gene Ghir_D11G020400 (GhZF14) encoding the MATE efflux family protein was identified as a novel candidate gene for fiber length. Beyond the additive QTLs, we detected prevalent epistatic interactions that contributed to the genetics of fiber quality, pinpointing another layer for trait variance. This study provides new targets for future molecular design breeding of superior fiber quality.

Indexed as

Genome, PlantPhenotypeQuantitative Trait LociChromosome MappingCotton FiberGenome-Wide Association StudyGossypium

Identifiers

PMID35039628
PMCPMC8764025
OpenAlexW4205520392

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.