Evidence map›Paper›PMID 28794480›Full record

ArticleScientific reports2017

Chromosome structural variation of two cultivated tetraploid cottons and their ancestral diploid species based on a new high-density genetic map.

Wen-Wen Wang, Zhao-Yun Tan, Ya-Qiong Xu, Ai-Ai Zhu, Yan Li, Jiang Yao, Rui Tian, Xiao-Mei Fang, Xue-Ying Liu, You-Ming Tian and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

17 authors.

Wen-Wen WangEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
Zhao-Yun TanEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
Ya-Qiong XuEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
Ai-Ai ZhuEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
Yan LiEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
Jiang YaoEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
Rui TianEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
Xiao-Mei FangEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
Xue-Ying LiuEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
You-Ming TianEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
Zhong-Hua TengEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
Jian ZhangEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
Da-Jun LiuEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
De-Xin LiuEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China.
Hai-Hong ShangState Key Laboratory of Cotton Biology/Cotton Research Institute, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Fang LiuState Key Laboratory of Cotton Biology/Cotton Research Institute, Chinese Academy of Agricultural Sciences, Anyang, 455000, China. liufcri@163.com.
Zheng-Sheng ZhangEngineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing, 400716, China. zhangzs@swu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A high-resolution genetic map is a useful tool for assaying genomic structural variation and clarifying the evolution of polyploid cotton. A total of 36956 SSRs, including 11289 released in previous studies and 25567 which were newly developed based on the genome sequences of G. arboreum and G. raimondii, were utilized to construct a new genetic map. The new high-density genetic map includes 6009 loci and spanned 3863.97 cM with an average distance of 0.64 cM between consecutive markers. Four inversions (one between Chr08 and Chr24, one between Chr09 and Chr23 and two between Chr10 and Chr20) were identified by homology analysis. Comparative genomic analysis between genetic map and two diploid cottons showed that structural variations between the A genome and At subgenome are more extensive than between D genome and Dt subgenome. A total of 17 inversions, seven simple translocations and two reciprocal translocations were identified between genetic map and G. raimondii. Good colinearity was revealed between the corresponding chromosomes of tetraploid G. hirsutum and G. barbadense genomes, but a total of 16 inversions were detected between them. These results will accelerate the process of evolution analysis of Gossipium genus.

Indexed as

Chromosomes, PlantGenomic Structural VariationTetraploidyChromosome MappingDiploidyGenetic MarkersGossypiumRepetitive Sequences, Nucleic AcidGenetic Markers

Identifiers

PMID28794480
PMCPMC5550419

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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.