Evidence map›Paper›PMID 37592233›Full record

ArticleBMC genomics2023

Trade-off in genome turnover events leading to adaptive evolution of Microcystis aeruginosa species complex.

Xian Zhang, Lijun Xiao, Jiahui Liu, Qibai Tian, Jiaqi Xie

Abstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. mBio · 2025
    Article
  3. Review
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

5 authors.

Xian ZhangDepartment of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, China. zixuange2010@126.com.
Lijun XiaoGuangdong Corps Hospital of Chinese People's Armed Police Forces, Guangzhou, China.
Jiahui LiuDepartment of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, China.
Qibai TianDepartment of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, China.
Jiaqi XieHunan Food and Drug Vocational College, Changsha, China.

Funding

National Key Research and Development Program of China 2022YFE0119600National Natural Science Foundation of China 32101368
6 · The paper itself

Abstract

backgroundNumerous studies in the past have expanded our understanding of the genetic differences of global distributed cyanobacteria that originated around billions of years ago, however, unraveling how gene gain and loss drive the genetic evolution of cyanobacterial species, and the trade-off of these evolutionary forces are still the central but poorly understood issues.

resultsTo delineate the contribution of gene flow in mediating the hereditary differentiation and shaping the microbial evolution, a global genome-wide study of bloom-forming cyanobacterium, Microcystis aeruginosa species complex, provided robust evidence for genetic diversity, reflected by enormous variation in gene repertoire among various strains. Mathematical extrapolation showed an 'open' microbial pan-genome of M. aeruginosa species, since novel genes were predicted to be introduced after new genomes were sequenced. Identification of numerous horizontal gene transfer's signatures in genome regions of interest suggested that genome expansion via transformation and phage-mediated transduction across bacterial lineage as an evolutionary route may contribute to the differentiation of Microcystis functions (e.g., carbohydrate metabolism, amino acid metabolism, and energy metabolism). Meanwhile, the selective loss of some dispensable genes at the cost of metabolic versatility is as a mean of adaptive evolution that has the potential to increase the biological fitness.

conclusionsNow that the recruitment of novel genes was accompanied by a parallel loss of some other ones, a trade-off in gene content may drive the divergent differentiation of M. aeruginosa genomes. Our study provides a genetic framework for the evolution of M. aeruginosa species and illustrates their possible evolutionary patterns.

Indexed as

BacteriophagesMicrocystisEnergy MetabolismEvolution, MolecularGenome-Wide Association StudyAdaptive evolutionGene flowHereditary differentiationMicrocystis aeruginosaTrade-off

Identifiers

PMID37592233
PMCPMC10433662

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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.