Evidence map›Paper›PMID 39714714›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024

A GWAS identified loci and candidate genes associated with fiber quality traits in a new cotton MAGIC population.

Jamal Mohammed, Gregory N Thyssen, Lori Hinze, Jinfa Zhang, Linghe Zeng, David D Fang

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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.

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Genetic basis and role of exotic accessions in cultivated cotton fiber quality improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jamal MohammedCotton Fiber Bioscience and Utilization Research Unit, USDA-ARS-SRRC, New Orleans, 70124, LA, USA.
Gregory N ThyssenCotton Fiber Bioscience and Utilization Research Unit, USDA-ARS-SRRC, New Orleans, 70124, LA, USA.
Lori HinzeCrop Germplasm Research Unit, USDA-ARS, College Station, 77845, TX, USA.ORCID http://orcid.org/0000-0003-3356-1245
Jinfa ZhangPlant and Environmental Sciences Department, New Mexico State University, Las Cruces, 88003, NM, USA.
Linghe ZengCrop Genetics Research Unit, USDA-ARS, Stoneville, 38776, MS, USA. linghe.zeng@usda.gov.ORCID http://orcid.org/0000-0003-2053-1450
David D FangCotton Fiber Bioscience and Utilization Research Unit, USDA-ARS-SRRC, New Orleans, 70124, LA, USA. david.fang@usda.gov.ORCID http://orcid.org/0000-0003-0036-5459

Funding

Agricultural Research Service 6054-21000-019-00DAgricultural Research Service 6066-21000-052-00D
6 · The paper itself

Abstract

key messageGWAS of a new MAGIC population containing alleles from five tetraploid Gossypium species identified novel fiber QTL and confirmed previously identified stable QTL. Identification of loci and underlying genes for fiber quality traits will facilitate genetic improvement in cotton fiber quality. In this research, a genome-wide association study (GWAS) was carried out for fiber quality attributes using a new multi-parent advanced generation inter-cross (MAGIC) population consisting of 372 recombinant inbred lines (RILs). Sixteen parents including 12 exotic germplasm lines derived from five tetraploid Gossypium species and 4 Upland cotton varieties were intercrossed to develop the population. Both RILs and parental lines were evaluated at three locations, College Station, Texas; Las Cruses, New Mexico; and Stoneville, Mississippi, from 2016 through 2023. Fiber length (UHM) had positive correlation with strength (STR) and length uniformity (UNI) and a negative correlation with micronaire (MIC) and elongation (ELO). By combining all the data from all locations, we identified significant SNPs for ELO, UHM, and UNI while STR and MIC were location dependent. These results suggest an important role of genotype by environment interaction in a GWAS of fiber traits. Twenty possible novel fiber QTL were identified: 10 for STR, three for UNI, and seven for MIC. The QTL for ELO (Chr.D04: 53-Mb), UHM (Chr.D11: 24-Mb), and UNI (Chr.D04: 34-Mb) were stable across multiple environments and may be useful for marker-assisted selection to improve fiber quality. For STR, we found candidate genes Gh_A07G1574 and Gh_A07G1581 to be present in the previously identified QTL region (Chr.A07: 77-Mb) on chromosome A07. Identified loci and their corresponding candidate genes will be useful to improve fiber quality via marker-assisted selection in a cotton breeding.

Indexed as

Cotton FiberGossypiumPhenotypePolymorphism, Single NucleotideQuantitative Trait LociAllelesChromosome MappingCrosses, GeneticGenes, PlantGenetic Association StudiesGenome-Wide Association StudyGenotypePlant BreedingTetraploidy

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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.