Evidence map›Paper›PMID 32761923›Full record

ArticleMolecular ecology2021

Rapid evolutionary changes in gene expression in response to climate fluctuations.

Elena Hamann, Christopher S Pauli, Zoé Joly-Lopez, Simon C Groen, Joshua S Rest, Nolan C Kane, Michael D Purugganan, Steven J Franks

Abstract read
In one paragraph

Article in Molecular ecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Robust Phylogenetic Regression.Systematic biology · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Elena HamannDepartment of Biological Sciences, Fordham University, Bronx, NY, USA.ORCID 0000-0003-2888-6440
Christopher S PauliDepartment of Ecology and Evolution, The University of Colorado at Boulder, Boulder, CO, USA.
Zoé Joly-LopezDepartment of Biology, Center for Genomics and Systems Biology, New York University, NY, USA.ORCID 0000-0002-7926-322X
Simon C GroenDepartment of Biology, Center for Genomics and Systems Biology, New York University, NY, USA.ORCID 0000-0003-4538-8865
Joshua S RestDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, NY, USA.ORCID 0000-0002-9582-1041
Nolan C KaneDepartment of Ecology and Evolution, The University of Colorado at Boulder, Boulder, CO, USA.ORCID 0000-0001-9133-6543
Michael D PuruggananDepartment of Biology, Center for Genomics and Systems Biology, New York University, NY, USA.ORCID 0000-0002-9197-4112
Steven J FranksDepartment of Biological Sciences, Fordham University, Bronx, NY, USA.ORCID 0000-0001-9681-3038

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is now abundant evidence of rapid evolution in natural populations, but the genetic mechanisms of these changes remain unclear. One possible route to rapid evolution is through changes in the expression of genes that influence traits under selection. We examined contemporary evolutionary gene expression changes in plant populations responding to environmental fluctuations. We compared genome-wide gene expression, using RNA-seq, in two populations of Brassica rapa collected over four time points between 1997 and 2014, during which precipitation in southern California fluctuated dramatically and phenotypic and genotypic changes occurred. By combining transcriptome profiling with the resurrection approach, we directly examined evolutionary changes in gene expression over time. For both populations, we found a substantial number of differentially expressed genes between generations, indicating rapid evolution in the expression of many genes. Using existing gene annotations, we found that many changes occurred in genes involved in regulating stress responses and flowering time. These appeared related to the fluctuations in precipitation and were potentially adaptive. However, the evolutionary changes in gene expression differed across generations within and between populations, indicating largely independent evolutionary trajectories across populations and over time. Our study provides strong evidence for rapid evolution in gene expression, and indicates that changes in gene expression can be one mechanism of rapid evolutionary responses to selection episodes. This study also illustrates that combining resurrection studies with transcriptomics is a powerful approach for investigating evolutionary changes at the gene regulatory level, and will provide new insights into the genetic basis of contemporary evolution.

Indexed as

Brassica rapaClimateGene ExpressionGene Expression ProfilingPhenotypeBrassica rapadrought stressflowering timeresurrection studyRNA-seq

Identifiers

PMID32761923
PMCPMC7818422

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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.