Evidence map›Paper›PMID 35594844›Full record

ArticleGenome biology and evolution2022

Local Adaptation and the Evolution of Genome Architecture in Threespine Stickleback.

Qiushi Li, Dorothea Lindtke, Carlos Rodríguez-Ramírez, Ryo Kakioka, Hiroshi Takahashi, Atsushi Toyoda, Jun Kitano, Rachel L Ehrlich, Joshua Chang Mell, Sam Yeaman

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

10 authors at 6 institutions in 4 countries.

Qiushi LiDepartment of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary, Canada T2N 1N4.
Dorothea LindtkeDepartment of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary, Canada T2N 1N4.
Carlos Rodríguez-RamírezDivision of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.
Ryo KakiokaTropical Biosphere Research Center, University of the Ryukyus, Nishihara, Nakagami-gun, Okinawa 903-0213, Japan.
Hiroshi TakahashiNational Fisheries University, 2-7-1 Nagata-honmachi, Shimonoseki, Yamaguchi 759-6595, Japan.
Atsushi ToyodaComparative Genomics Laboratory, National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan.
Jun KitanoEcological Genetics Laboratory, National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan.ORCID 0000-0001-8659-5698
Rachel L EhrlichDepartment of Microbiology & Immunology, Drexel University College of Medicine, Philadelphia 19102, PA, USA.
Joshua Chang MellDepartment of Microbiology & Immunology, Drexel University College of Medicine, Philadelphia 19102, PA, USA.
Sam YeamanDepartment of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary, Canada T2N 1N4.
University of Calgary · CADrexel University · USNational Institute of Genetics · JPNational Fisheries University · JPUniversity of Bern · CHUniversity of the Ryukyus · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Theory predicts that local adaptation should favor the evolution of a concentrated genetic architecture, where the alleles driving adaptive divergence are tightly clustered on chromosomes. Adaptation to marine versus freshwater environments in threespine stickleback has resulted in an architecture that seems consistent with this prediction: divergence among populations is mainly driven by a few genomic regions harboring multiple quantitative trait loci for environmentally adapted traits, as well as candidate genes with well-established phenotypic effects. One theory for the evolution of these "genomic islands" is that rearrangements remodel the genome to bring causal loci into tight proximity, but this has not been studied explicitly. We tested this theory using synteny analysis to identify micro- and macro-rearrangements in the stickleback genome and assess their potential involvement in the evolution of genomic islands. To identify rearrangements, we conducted a de novo assembly of the closely related tubesnout (Aulorhyncus flavidus) genome and compared this to the genomes of threespine stickleback and two other closely related species. We found that small rearrangements, within-chromosome duplications, and lineage-specific genes (LSGs) were enriched around genomic islands, and that all three chromosomes harboring large genomic islands have experienced macro-rearrangements. We also found that duplicates and micro-rearrangements are 9.9× and 2.9× more likely to involve genes differentially expressed between marine and freshwater genotypes. While not conclusive, these results are consistent with the explanation that strong divergent selection on candidate genes drove the recruitment of rearrangements to yield clusters of locally adaptive loci.

Indexed as

Selection, GeneticSmegmamorphaAdaptation, PhysiologicalAllelesAnimalsQuantitative Trait Locichromosomal rearrangementgene flowgenome evolutionlocal adaptationtransposable element

Identifiers

PMID35594844
PMCPMC9178229
OpenAlexW4281262067

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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.