Evidence map›Paper›PMID 38355396›Full record

ArticleBMC genomics2024

An insight into the gene expression evolution in Gossypium species based on the leaf transcriptomes.

Yuqing Wu, Rongnan Sun, Tong Huan, Yanyan Zhao, Dongliang Yu, Yuqiang Sun

Open access · goldAbstract read
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Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.0field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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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 1 institution in 1 country.

Yuqing WuCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
Rongnan SunCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
Tong HuanCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
Yanyan ZhaoCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
Dongliang YuCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China. yudl@zstu.edu.cn.
Yuqiang SunCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China. sunyuqiang@zstu.edu.cn.
Zhejiang Sci-Tech University · CN

Funding

Fundamental Research Funds of Zhejiang Sci-Tech University 19042398-YNational Natural Science Foundation of China 32170623 and U190320
6 · The paper itself

Abstract

backgroundGene expression pattern is associated with biological phenotype and is widely used in exploring gene functions. Its evolution is also crucial in understanding species speciation and divergence. The genus Gossypium is a bona fide model for studying plant evolution and polyploidization. However, the evolution of gene expression during cotton species divergence has yet to be extensively discussed.

resultsBased on the seedling leaf transcriptomes, this work analyzed the transcriptomic content and expression patterns across eight cotton species, including six diploids and two natural tetraploids. Our findings indicate that, while the biological function of these cotton transcriptomes remains largely conserved, there has been significant variation in transcriptomic content during species divergence. Furthermore, we conducted a comprehensive analysis of expression distances across cotton species. This analysis lends further support to the use of G. arboreum as a substitute for the A-genome donor of natural cotton polyploids. Moreover, our research highlights the evolution of stress-responsive pathways, including hormone signaling, fatty acid degradation, and flavonoid biosynthesis. These processes appear to have evolved under lower selection pressures, presumably reflecting their critical role in the adaptations of the studied cotton species to diverse environments.

conclusionsIn summary, this study provided insights into the gene expression variation within the genus Gossypium and identified essential genes/pathways whose expression evolution was closely associated with the evolution of cotton species. Furthermore, the method of characterizing genes and pathways under unexpected high or slow selection pressure can also serve as a new strategy for gene function exploration.

Indexed as

GossypiumTranscriptomeGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantGenome, PlantPhylogenyPolyploidyExpression evolutionGossypiumOrthologous groupsTranscriptome

Identifiers

PMID38355396
PMCPMC10868065
OpenAlexW4391809992

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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.