Literature DB >> 36095205

Experimental evolution reveals the synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod.

Reid S Brennan1,2,3, James A deMayo4, Hans G Dam4, Michael Finiguerra5, Hannes Baumann4, Vince Buffalo6, Melissa H Pespeni1.   

Abstract

Metazoan adaptation to global change relies on selection of standing genetic variation. Determining the extent to which this variation exists in natural populations, particularly for responses to simultaneous stressors, is essential to make accurate predictions for persistence in future conditions. Here, we identified the genetic variation enabling the copepod Acartia tonsa to adapt to experimental ocean warming, acidification, and combined ocean warming and acidification (OWA) over 25 generations of continual selection. Replicate populations showed a consistent polygenic response to each condition, targeting an array of adaptive mechanisms including cellular homeostasis, development, and stress response. We used a genome-wide covariance approach to partition the allelic changes into three categories: selection, drift and replicate-specific selection, and laboratory adaptation responses. The majority of allele frequency change in warming (57%) and OWA (63%) was driven by shared selection pressures across replicates, but this effect was weaker under acidification alone (20%). OWA and warming shared 37% of their response to selection but OWA and acidification shared just 1%, indicating that warming is the dominant driver of selection in OWA. Despite the dominance of warming, the interaction with acidification was still critical as the OWA selection response was highly synergistic with 47% of the allelic selection response unique from either individual treatment. These results disentangle how genomic targets of selection differ between single and multiple stressors and demonstrate the complexity that nonadditive multiple stressors will contribute to predictions of adaptation to complex environmental shifts caused by global change.

Entities:  

Keywords:  evolve and resequence; global change adaptation; zooplankton evolution

Mesh:

Substances:

Year:  2022        PMID: 36095205      PMCID: PMC9499500          DOI: 10.1073/pnas.2201521119

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


  69 in total

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Authors:  Adrian Alexa; Jörg Rahnenführer; Thomas Lengauer
Journal:  Bioinformatics       Date:  2006-04-10       Impact factor: 6.937

2.  An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice.

Authors:  João Pl Castro; Michelle N Yancoskie; Campbell Rolian; Yingguang Frank Chan; Marta Marchini; Stefanie Belohlavy; Layla Hiramatsu; Marek Kučka; William H Beluch; Ronald Naumann; Isabella Skuplik; John Cobb; Nicholas H Barton
Journal:  Elife       Date:  2019-06-06       Impact factor: 8.140

Review 3.  Can Population Genetics Adapt to Rapid Evolution?

Authors:  Philipp W Messer; Stephen P Ellner; Nelson G Hairston
Journal:  Trends Genet       Date:  2016-05-13       Impact factor: 11.639

4.  Transgenerational effects alleviate severe fecundity loss during ocean acidification in a ubiquitous planktonic copepod.

Authors:  Peter Thor; Sam Dupont
Journal:  Glob Chang Biol       Date:  2015-01-08       Impact factor: 10.863

5.  Cryptic ecological diversification of a planktonic estuarine copepod, Acartia tonsa.

Authors:  Gang Chen; Matthew P Hare
Journal:  Mol Ecol       Date:  2008-02-01       Impact factor: 6.185

Review 6.  Polygenic adaptation: a unifying framework to understand positive selection.

Authors:  Neda Barghi; Joachim Hermisson; Christian Schlötterer
Journal:  Nat Rev Genet       Date:  2020-06-29       Impact factor: 53.242

7.  PoPoolation2: identifying differentiation between populations using sequencing of pooled DNA samples (Pool-Seq).

Authors:  Robert Kofler; Ram Vinay Pandey; Christian Schlötterer
Journal:  Bioinformatics       Date:  2011-10-23       Impact factor: 6.937

8.  The genetics of human adaptation: hard sweeps, soft sweeps, and polygenic adaptation.

Authors:  Jonathan K Pritchard; Joseph K Pickrell; Graham Coop
Journal:  Curr Biol       Date:  2010-02-23       Impact factor: 10.834

9.  A guide for the design of evolve and resequencing studies.

Authors:  Robert Kofler; Christian Schlötterer
Journal:  Mol Biol Evol       Date:  2013-11-09       Impact factor: 16.240

10.  Efficient Test and Visualization of Multi-Set Intersections.

Authors:  Minghui Wang; Yongzhong Zhao; Bin Zhang
Journal:  Sci Rep       Date:  2015-11-25       Impact factor: 4.379

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