Evidence map›Paper›PMID 29535744›Full record

ArticleFrontiers in plant science2018

Genetic Map Construction and Fiber Quality QTL Mapping Using the CottonSNP80K Array in Upland Cotton.

Zhaoyun Tan, Zhiqin Zhang, Xujing Sun, Qianqian Li, Ying Sun, Peng Yang, Wenwen Wang, Xueying Liu, Chunling Chen, Dexing Liu and 5 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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.

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

37 citing papers in PubMed.

  1. Article
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  8. Genome-wide association study of fiber quality traits in US upland cotton (Gossypium hirsutum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  9. Genetic dissection of lint percentage in short-season cotton using combined QTL mapping and RNA-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
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  16. GBS-SNP and SSR based genetic mapping and QTL analysis for drought tolerance in upland cotton.Physiology and molecular biology of plants : an international journal of functional plant biology · 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

15 authors.

Zhaoyun TanCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Zhiqin ZhangCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Xujing SunCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Qianqian LiCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Ying SunCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Peng YangCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Wenwen WangCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Xueying LiuCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Chunling ChenCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Dexing LiuCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Zhonghua TengCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Kai GuoCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Jian ZhangCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Dajun LiuCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Zhengsheng ZhangCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cotton fiber quality traits are controlled by multiple quantitative trait loci (QTL), and the improvement of these traits requires extensive germplasm. Herein, an Upland cotton cultivar from America, Acala Maxxa, was crossed with a local high fiber quality cultivar, Yumian 1, and 180 recombinant inbred lines (RILs) were obtained. In order to dissect the genetic basis of fiber quality differences between these parents, a genetic map containing 12116 SNP markers was constructed using the CottonSNP80K assay, which covered 3741.81 cM with an average distance of 0.31 cM between markers. Based on the genetic map and growouts in three environments, we detected a total of 104 QTL controlling fiber quality traits. Among these QTL, 25 were detected in all three environments and 35 in two environments. Meanwhile, 19 QTL clusters were also identified, and nine contained at least one stable QTL (detected in three environments for a given trait). These stable QTL or QTL clusters are priorities for fine mapping, identifying candidate genes, elaborating molecular mechanisms of fiber development, and application in cotton breeding programs by marker-assisted selection (MAS).

Indexed as

CottonSNP80K assayfiber quality traitsgenetic mapQTLupland cotton

Identifiers

PMID29535744
PMCPMC5835031

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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.