Evidence map›Paper›PMID 33964136›Full record

ArticleGenome biology and evolution2021

Chromosome-Level Assembly of the Atlantic Silverside Genome Reveals Extreme Levels of Sequence Diversity and Structural Genetic Variation.

Anna Tigano, Arne Jacobs, Aryn P Wilder, Ankita Nand, Ye Zhan, Job Dekker, Nina Overgaard Therkildsen

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 41 citations in OpenAlex.

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  14. Detecting parallel polygenic adaptation to novel evolutionary pressure in wild populations: a case study in Atlantic cod (Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Anna TiganoDepartment of Natural Resources, Cornell University, Ithaca, New York, USA.ORCID 0000-0001-9240-3058
Arne JacobsDepartment of Natural Resources, Cornell University, Ithaca, New York, USA.ORCID 0000-0001-7635-5447
Aryn P WilderDepartment of Natural Resources, Cornell University, Ithaca, New York, USA.ORCID 0000-0003-4970-6891
Ankita NandProgram in Systems Biology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.ORCID 0000-0001-7071-5114
Ye ZhanProgram in Systems Biology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.ORCID 0000-0001-9280-1718
Job DekkerProgram in Systems Biology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.ORCID 0000-0001-5631-0698
Nina Overgaard TherkildsenDepartment of Natural Resources, Cornell University, Ithaca, New York, USA.ORCID 0000-0002-6591-591X
Cornell University · USUniversity of Massachusetts Chan Medical School · USHoward Hughes Medical Institute · USUniversity of New Hampshire · USZoological Society of San Diego · US

Funding

Structural Annotation of the Human GenomeR01HG003143 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Job Dekker · 2003 to 2026
$15.4M
NHGRI NIH HHS R01 HG003143
6 · The paper itself

Abstract

The levels and distribution of standing genetic variation in a genome can provide a wealth of insights about the adaptive potential, demographic history, and genome structure of a population or species. As structural variants are increasingly associated with traits important for adaptation and speciation, investigating both sequence and structural variation is essential for wholly tapping this potential. Using a combination of shotgun sequencing, 10x Genomics linked reads and proximity-ligation data (Chicago and Hi-C), we produced and annotated a chromosome-level genome assembly for the Atlantic silverside (Menidia menidia)-an established ecological model for studying the phenotypic effects of natural and artificial selection-and examined patterns of genomic variation across two individuals sampled from different populations with divergent local adaptations. Levels of diversity varied substantially across each chromosome, consistently being highly elevated near the ends (presumably near telomeric regions) and dipping to near zero around putative centromeres. Overall, our estimate of the genome-wide average heterozygosity in the Atlantic silverside is among the highest reported for a fish, or any vertebrate (1.32-1.76% depending on inference method and sample). Furthermore, we also found extreme levels of structural variation, affecting ∼23% of the total genome sequence, including multiple large inversions (> 1 Mb and up to 12.6 Mb) associated with previously identified haploblocks showing strong differentiation between locally adapted populations. These extreme levels of standing genetic variation are likely associated with large effective population sizes and may help explain the remarkable adaptive divergence among populations of the Atlantic silverside.

Indexed as

GenomeGenomic Structural VariationAnimalsFishesGenetic VariationOryziasSyntenyfishgenome assemblyheterozygosityHi-Cinversionsnucleotide diversity

Identifiers

PMID33964136
PMCPMC8214408
OpenAlexW3096135351

What OpenQuestion holds

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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.