Evidence map›Paper›PMID 34082735›Full record

ArticleBMC biology2021

Cotton D genome assemblies built with long-read data unveil mechanisms of centromere evolution and stress tolerance divergence.

Zhaoen Yang, Xiaoyang Ge, Weinan Li, Yuying Jin, Lisen Liu, Wei Hu, Fuyan Liu, Yanli Chen, Shaoliang Peng, Fuguang Li

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed, 37 citations in OpenAlex.

  1. Distinct evolutionary trajectories of gene duplication modes in 40 diploid cotton genomes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  11. Non-B-form DNA tends to form in centromeric regions and has undergone changes in polyploid oat subgenomes.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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 at 3 institutions in 1 country.

Zhaoen Yang *Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450001, China.
Xiaoyang Ge *Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450001, China.
Weinan Li *College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China.
Yuying JinInstitute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Lisen LiuInstitute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Wei HuInstitute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Fuyan LiuBiomarker Technologies Corporation, Beijing, 101300, China.
Yanli ChenInstitute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Shaoliang PengCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China. slpeng@hnu.edu.cn.
Fuguang LiZhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450001, China. aylifug@caas.cn.ORCID 0000-0002-9057-0554
Chinese Academy of Agricultural Sciences · CNZhengzhou University · CNHunan University · CN

Funding

Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences (CN) Y2020PT13National Natural Science Foundation of China 31621005National Natural Science Foundation of China 31690093Young Elite Scientists Sponsorship Program by CAST 2019-2021QNRC001
6 · The paper itself

Abstract

backgroundMany of genome features which could help unravel the often complex post-speciation evolution of closely related species are obscured because of their location in chromosomal regions difficult to accurately characterize using standard genome analysis methods, including centromeres and repeat regions.

resultsHere, we analyze the genome evolution and diversification of two recently diverged sister cotton species based on nanopore long-read sequence assemblies and Hi-C 3D genome data. Although D genomes are conserved in gene content, they have diversified in gene order, gene structure, gene family diversification, 3D chromatin structure, long-range regulation, and stress-related traits. Inversions predominate among D genome rearrangements. Our results support roles for 5mC and 6mA in gene activation, and 3D chromatin analysis showed that diversification in proximal-vs-distal regulatory-region interactions shape the regulation of defense-related-gene expression. Using a newly developed method, we accurately positioned cotton centromeres and found that these regions have undergone obviously more rapid evolution relative to chromosome arms. We also discovered a cotton-specific LTR class that clarifies evolutionary trajectories among diverse cotton species and identified genetic networks underlying the Verticillium tolerance of Gossypium thurberi (e.g., SA signaling) and salt-stress tolerance of Gossypium davidsonii (e.g., ethylene biosynthesis). Finally, overexpression of G. thurberi genes in upland cotton demonstrated how wild cottons can be exploited for crop improvement.

conclusionsOur study substantially deepens understanding about how centromeres have developed and evolutionarily impacted the divergence among closely related cotton species and reveals genes and 3D genome structures which can guide basic investigations and applied efforts to improve crops.

Indexed as

CentromereGossypiumChromatinGene Expression Regulation, PlantGenome, PlantPhylogenyChromatin3D genomeG. davidsoniiGossypiumG. thurberiHi-CLong-range interactionsSalt toleranceStructural variationVerticillium wilt

Identifiers

PMID34082735
PMCPMC8176745
OpenAlexW3165784772

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LicenceCC BY
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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.