Evidence map›Paper›PMID 25635680›Full record

ArticlePloS one2015

Identification of associated SSR markers for yield component and fiber quality traits based on frame map and Upland cotton collections.

Hongde Qin, Min Chen, Xianda Yi, Shu Bie, Cheng Zhang, Youchang Zhang, Jiayang Lan, Yanyan Meng, Youlu Yuan, Chunhai Jiao

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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.

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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Genome-Wide Association Study of Lint Percentage inInternational journal of molecular sciences · 2023
    Article
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  7. Association analysis of germination level cold stress tolerance and candidate gene identification in Upland cotton (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Article
  8. Deltapine 15 contributes to the genomic architecture of modern upland cotton cultivars.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
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  9. Article
  10. Review
  11. 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

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.

Hongde QinInstitute of Cash Crops, Hubei Academy of Agricultural Sciences, Wuhan, China; Key Laboratory of Cotton Biology and Breeding in the Middle Reaches of the Changjiang River (Wuhan), Ministry of Agriculture, Wuhan, P. R. China.
Min ChenKey Laboratory of Cotton Biology and Breeding in the Middle Reaches of the Changjiang River (Wuhan), Ministry of Agriculture, Wuhan, P. R. China.
Xianda YiInstitute of Cash Crops, Hubei Academy of Agricultural Sciences, Wuhan, China; Key Laboratory of Cotton Biology and Breeding in the Middle Reaches of the Changjiang River (Wuhan), Ministry of Agriculture, Wuhan, P. R. China.
Shu BieInstitute of Cash Crops, Hubei Academy of Agricultural Sciences, Wuhan, China; Key Laboratory of Cotton Biology and Breeding in the Middle Reaches of the Changjiang River (Wuhan), Ministry of Agriculture, Wuhan, P. R. China.
Cheng ZhangInstitute of Cash Crops, Hubei Academy of Agricultural Sciences, Wuhan, China; Key Laboratory of Cotton Biology and Breeding in the Middle Reaches of the Changjiang River (Wuhan), Ministry of Agriculture, Wuhan, P. R. China.
Youchang ZhangInstitute of Cash Crops, Hubei Academy of Agricultural Sciences, Wuhan, China; Key Laboratory of Cotton Biology and Breeding in the Middle Reaches of the Changjiang River (Wuhan), Ministry of Agriculture, Wuhan, P. R. China.
Jiayang LanInstitute of Cash Crops, Hubei Academy of Agricultural Sciences, Wuhan, China; Key Laboratory of Cotton Biology and Breeding in the Middle Reaches of the Changjiang River (Wuhan), Ministry of Agriculture, Wuhan, P. R. China.
Yanyan MengInstitute of Cash Crops, Hubei Academy of Agricultural Sciences, Wuhan, China; Key Laboratory of Cotton Biology and Breeding in the Middle Reaches of the Changjiang River (Wuhan), Ministry of Agriculture, Wuhan, P. R. China.
Youlu YuanInstitute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyan, China.
Chunhai JiaoHubei Academy of Agricultural Sciences, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detecting QTLs (quantitative trait loci) that enhance cotton yield and fiber quality traits and accelerate breeding has been the focus of many cotton breeders. In the present study, 359 SSR (simple sequence repeat) markers were used for the association mapping of 241 Upland cotton collections. A total of 333 markers, representing 733 polymorphic loci, were detected. The average linkage disequilibrium (LD) decay distances were 8.58 cM (r2 > 0.1) and 5.76 cM (r2 > 0.2). 241 collections were arranged into two subgroups using STRUCTURE software. Mixed linear modeling (MLM) methods (with population structure (Q) and relative kinship matrix (K)) were applied to analyze four phenotypic datasets obtained from four environments (two different locations and two years). Forty-six markers associated with the number of bolls per plant (NB), boll weight (BW), lint percentage (LP), fiber length (FL), fiber strength (FS) and fiber micornaire value (FM) were repeatedly detected in at least two environments. Of 46 associated markers, 32 were identified as new association markers, and 14 had been previously reported in the literature. Nine association markers were near QTLs (at a distance of less than 1-2 LD decay on the reference map) that had been previously described. These results provide new useful markers for marker-assisted selection in breeding programs and new insights for understanding the genetic basis of Upland cotton yields and fiber quality traits at the whole-genome level.

Indexed as

Quantitative Trait, HeritableAnalysis of VarianceChromosome MappingCotton FiberGenetic MarkersGenetics, PopulationGossypiumInheritance PatternsLinear ModelsLinkage DisequilibriumMicrosatellite RepeatsPhenotypePolymorphism, GeneticGenetic Markers

Identifiers

PMID25635680
PMCPMC4311988

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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.