Evidence map›Paper›PMID 39331643›Full record

ArticleGenomics, proteomics & bioinformatics2024

The Genome Architecture of the Copepod Eurytemora carolleeae - the Highly Invasive Atlantic Clade of the Eurytemoraaffinis Species Complex.

Zhenyong Du, Gregory Gelembiuk, Wynne Moss, Andrew Tritt, Carol Eunmi Lee

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Article in Genomics, proteomics & bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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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

5 authors.

Zhenyong DuDepartment of Integrative Biology, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0002-4569-6713
Gregory GelembiukDepartment of Integrative Biology, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0001-7369-9287
Wynne MossDepartment of Integrative Biology, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0002-2813-1710
Andrew TrittDepartment of Integrative Biology, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0002-1617-449X
Carol Eunmi LeeDepartment of Integrative Biology, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0001-6355-0542

Funding

NSF OCE-1658517 AND NSF DEB-2055356
6 · The paper itself

Abstract

Copepods are among the most abundant organisms on the planet and play critical functions in aquatic ecosystems. Among copepods, populations of the Eurytemora affinis species complex are numerically dominant in many coastal habitats and serve as food sources for major fisheries. Intriguingly, certain populations possess the unusual capacity to invade novel salinities on rapid time scales. Despite their ecological importance, high-quality genomic resources have been absent for calanoid copepods, limiting our ability to comprehensively dissect the genome architecture underlying the highly invasive and adaptive capacity of certain populations. Here, we present the first chromosome-level genome of a calanoid copepod, from the Atlantic clade (Eurytemora carolleeae) of the E. affinis species complex. This genome was assembled using high-coverage PacBio long-read and Hi-C sequences of an inbred line, generated through 30 generations of full-sib mating. This genome, consisting of 529.3 Mb (contig N50 = 4.2 Mb, scaffold N50 = 140.6 Mb), was anchored onto four chromosomes. Genome annotation predicted 20,262 protein-coding genes, of which ion transport-related gene families were substantially expanded based on comparative analyses of 12 additional arthropod genomes. Also, we found genome-wide signatures of historical gene body methylation of the ion transport-related genes and the significant clustering of these genes on each chromosome. This genome represents one of the most contiguous copepod genomes to date and is among the highest quality marine invertebrate genomes. As such, this genome provides an invaluable resource to help yield fundamental insights into the ability of this copepod to adapt to rapidly changing environments.

Indexed as

CopepodaGenomeAnimalsIntroduced SpeciesArthropodCrustaceaGenome architectureInvasionOsmoregulation

Identifiers

PMID39331643
PMCPMC11706791

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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.