Evidence map›Paper›PMID 19067183›Full record

ArticleGenetica2009

Linkage disequilibrium based association mapping of fiber quality traits in G. hirsutum L. variety germplasm.

Ibrokhim Y Abdurakhmonov, Sukumar Saha, Jonnie N Jenkins, Zabardast T Buriev, Shukhrat E Shermatov, Brain E Scheffler, Alan E Pepper, John Z Yu, Russell J Kohel, Abdusattor Abdukarimov

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Article in Genetica, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

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  8. Genome-wide association mapping for agronomic traits in an 8-way Upland cotton MAGIC population by SLAF-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
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4 · The record

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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.

Ibrokhim Y AbdurakhmonovCenter of Genomic Technologies, Institute of Genetics and Plant Experimental Biology, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan. ibrokhim_a@yahoo.com
Sukumar Saha
Jonnie N Jenkins
Zabardast T Buriev
Shukhrat E Shermatov
Brain E Scheffler
Alan E Pepper
John Z Yu
Russell J Kohel
Abdusattor Abdukarimov

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cotton is the world's leading cash crop, but it lags behind other major crops for marker-assisted breeding due to limited polymorphisms and a genetic bottleneck through historic domestication. This underlies a need for characterization, tagging, and utilization of existing natural polymorphisms in cotton germplasm collections. Here we report genetic diversity, population characteristics, the extent of linkage disequilibrium (LD), and association mapping of fiber quality traits using 202 microsatellite marker primer pairs in 335 G. hirsutum germplasm grown in two diverse environments, Uzbekistan and Mexico. At the significance threshold (r (2) >or= 0.1), a genome-wide average of LD extended up to genetic distance of 25 cM in assayed cotton variety accessions. Genome wide LD at r (2) >or= 0.2 was reduced to approximately 5-6 cM, providing evidence of the potential for association mapping of agronomically important traits in cotton. Results suggest linkage, selection, inbreeding, population stratification, and genetic drift as the potential LD-generating factors in cotton. In two environments, an average of ~20 SSR markers was associated with each main fiber quality traits using a unified mixed liner model (MLM) incorporating population structure and kinship. These MLM-derived significant associations were confirmed in general linear model and structured association test, accounting for population structure and permutation-based multiple testing. Several common markers, showing the significant associations in both Uzbekistan and Mexican environments, were determined. Between 7 and 43% of the MLM-derived significant associations were supported by a minimum Bayes factor at 'moderate to strong' and 'strong to very strong' evidence levels, suggesting their usefulness for marker-assisted breeding programs and overall effectiveness of association mapping using cotton germplasm resources.

Indexed as

Linkage DisequilibriumAnalysis of VarianceChromosome MappingEnvironmentGenetic MarkersGenome, PlantGenome-Wide Association StudyGossypiumLinear ModelsMinisatellite RepeatsPhylogenyPolymorphism, GeneticGenetic Markers

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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.