Evidence map›Paper›PMID 25442170›Full record

ArticleBMC genomics2014

Development of EST-based SNP and InDel markers and their utilization in tetraploid cotton genetic mapping.

Ximei Li, Wenhui Gao, Huanle Guo, Xianlong Zhang, David D Fang, Zhongxu Lin

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
7.5field-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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. CSSL-based GWAS identifies SNPs and candidate genes associated with Verticillium wilt resistance in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Effects of Genetic Variation of the Sorting Nexin 29 (Animals : an open access journal from MDPI · 2022
    Article
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  4. 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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  12. Structure, evolution, and comparative genomics of tetraploid cotton based on a high-density genetic linkage map.DNA research : an international journal for rapid publication of reports on genes and genomes · 2016
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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

6 authors at 3 institutions in 2 countries.

Ximei Li
Wenhui Gao
Huanle Guo
Xianlong Zhang
David D Fang
Zhongxu LinNational Key Laboratory of Crop Genetic Improvement & National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, Hubei, China. linzhongxu@mail.hzau.edu.cn.
Huazhong Agricultural University · CNQingdao Agricultural University · CNSouthern Regional Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAvailability of molecular markers has proven to be an efficient tool in facilitating progress in plant breeding, which is particularly important in the case of less researched crops such as cotton. Considering the obvious advantages of single nucleotide polymorphisms (SNPs) and insertion-deletion polymorphisms (InDels), expressed sequence tags (ESTs) were analyzed in silico to identify SNPs and InDels in this study, aiming to develop more molecular markers in cotton.

resultsA total of 1,349 EST-based SNP and InDel markers were developed by comparing ESTs between Gossypium hirsutum and G. barbadense, mining G. hirsutum unigenes, and analyzing 3' untranslated region (3'UTR) sequences. The marker polymorphisms were investigated using the two parents of the mapping population based on the single-strand conformation polymorphism (SSCP) analysis. Of all the markers, 137 (10.16%) were polymorphic, and revealed 142 loci. Linkage analysis using a BC1 population mapped 133 loci on the 26 chromosomes. Statistical analysis of base variations in SNPs showed that base transitions accounted for 55.78% of the total base variations and gene ontology indicated that cotton genes varied greatly in harboring SNPs ranging from 1.00 to 24.00 SNPs per gene. Sanger sequencing of three randomly selected SNP markers revealed discrepancy between the in silico predicted sequences and the actual sequencing results.

conclusionsIn silico analysis is a double-edged blade to develop EST-SNP/InDel markers. On the one hand, the designed markers can be well used in tetraploid cotton genetic mapping. And it plays a certain role in revealing transition preference and SNP frequency of cotton genes. On the other hand, the developmental efficiency of markers and polymorphism of designed primers are comparatively low.

Indexed as

Chromosome MappingExpressed Sequence TagsINDEL MutationPolymorphism, Single NucleotideTetraploidyBase SequenceComputational BiologyGenetic LinkageGenetic LociGossypiumMolecular Sequence AnnotationMolecular Sequence DataSequence Alignment

Identifiers

PMID25442170
PMCPMC4265408
OpenAlexW2129216014

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.