Evidence map›Paper›PMID 22257588›Full record

ArticleBMC evolutionary biology2012

Rates of evolution in stress-related genes are associated with habitat preference in two Cardamine lineages.

Lino Ometto, Mingai Li, Luisa Bresadola, Claudio Varotto

Abstract read
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Article in BMC evolutionary biology, 2012. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Temperature-Associated Variation in Evolutionary Rates ofAnimals : an open access journal from MDPI · 2026
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  5. Comparative analysis ofEcology and evolution · 2023
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  9. Sequencing, Characterization, and Comparative Analyses of the Plastome ofInternational journal of molecular sciences · 2018
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Lino OmettoDepartment of Biodiversity and Molecular Ecology, IASMA Research and Innovation Centre, Fondazione Edmund Mach, Via E, Mach 1, 38010 San Michele all'Adige (TN), Italy.
Mingai Li
Luisa Bresadola
Claudio Varotto

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElucidating the selective and neutral forces underlying molecular evolution is fundamental to understanding the genetic basis of adaptation. Plants have evolved a suite of adaptive responses to cope with variable environmental conditions, but relatively little is known about which genes are involved in such responses. Here we studied molecular evolution on a genome-wide scale in two species of Cardamine with distinct habitat preferences: C. resedifolia, found at high altitudes, and C. impatiens, found at low altitudes. Our analyses focussed on genes that are involved in stress responses to two factors that differentiate the high- and low-altitude habitats, namely temperature and irradiation.

resultsHigh-throughput sequencing was used to obtain gene sequences from C. resedifolia and C. impatiens. Using the available A. thaliana gene sequences and annotation, we identified nearly 3,000 triplets of putative orthologues, including genes involved in cold response, photosynthesis or in general stress responses. By comparing estimated rates of molecular substitution, codon usage, and gene expression in these species with those of Arabidopsis, we were able to evaluate the role of positive and relaxed selection in driving the evolution of Cardamine genes. Our analyses revealed a statistically significant higher rate of molecular substitution in C. resedifolia than in C. impatiens, compatible with more efficient positive selection in the former. Conversely, the genome-wide level of selective pressure is compatible with more relaxed selection in C. impatiens. Moreover, levels of selective pressure were heterogeneous between functional classes and between species, with cold responsive genes evolving particularly fast in C. resedifolia, but not in C. impatiens.

conclusionsOverall, our comparative genomic analyses revealed that differences in effective population size might contribute to the differences in the rate of protein evolution and in the levels of selective pressure between the C. impatiens and C. resedifolia lineages. The within-species analyses also revealed evolutionary patterns associated with habitat preference of two Cardamine species. We conclude that the selective pressures associated with the habitats typical of C. resedifolia may have caused the rapid evolution of genes involved in cold response.

Indexed as

Evolution, MolecularCardamineCodonEcosystemPhylogenyPlant ProteinsCodonPlant Proteins

Identifiers

PMID22257588
PMCPMC3398273

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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.