Evidence map›Paper›PMID 33367270›Full record

ReviewPlant communications2020

Genomic Convergence in the Adaptation to Extreme Environments.

Shaohua Xu, Jiayan Wang, Zixiao Guo, Ziwen He, Suhua Shi

Abstract readReview
In one paragraph

Review in Plant communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

42 citing papers in PubMed.

  1. Article
  2. The genetic foundations of convergent traits.Nature reviews. Genetics · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Shaohua XuState Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources, Key Laboratory of Biodiversity Dynamics and Conservation of Guangdong Higher Education Institutes, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jiayan WangState Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources, Key Laboratory of Biodiversity Dynamics and Conservation of Guangdong Higher Education Institutes, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China.
Zixiao GuoState Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources, Key Laboratory of Biodiversity Dynamics and Conservation of Guangdong Higher Education Institutes, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China.
Ziwen HeState Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources, Key Laboratory of Biodiversity Dynamics and Conservation of Guangdong Higher Education Institutes, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China.
Suhua ShiState Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources, Key Laboratory of Biodiversity Dynamics and Conservation of Guangdong Higher Education Institutes, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Convergent evolution is especially common in plants that have independently adapted to the same extreme environments (i.e., extremophile plants). The recent burst of omics data has alleviated many limitations that have hampered molecular convergence studies of non-model extremophile plants. In this review, we summarize cases of genomic convergence in these taxa to examine the extent and type of genomic convergence during the process of adaptation to extreme environments. Despite being well studied by candidate gene approaches, convergent evolution at individual sites is rare and often has a high false-positive rate when assessed in whole genomes. By contrast, genomic convergence at higher genetic levels has been detected during adaptation to the same extreme environments. Examples include the convergence of biological pathways and changes in gene expression, gene copy number, amino acid usage, and GC content. Higher convergence levels play important roles in the adaptive evolution of extremophiles and may be more frequent and involve more genes. In several cases, multiple types of convergence events have been found to co-occur. However, empirical and theoretical studies of this higher level convergent evolution are still limited. In conclusion, both the development of powerful approaches and the detection of convergence at various genetic levels are needed to further reveal the genetic mechanisms of plant adaptation to extreme environments.

Indexed as

Biological EvolutionExtreme EnvironmentsGenome, PlantAdaptation, BiologicalEvolution, MolecularPlantsadaptive evolutionconvergent evolutionextreme environmentsplant genomes

Identifiers

PMID33367270
PMCPMC7747959

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Registered trials

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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.