Evidence map›Paper›PMID 29617811›Full record

ArticleGenome biology and evolution2018

Patterns of Population Variation in Two Paleopolyploid Eudicot Lineages Suggest That Dosage-Based Selection on Homeologs Is Long-Lived.

Yue Hao, Jacob D Washburn, Jacob Rosenthal, Brandon Nielsen, Eric Lyons, Patrick P Edger, J Chris Pires, Gavin C Conant

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Article in Genome biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. BnaCIPK9 homoeologs mediate the dosage-dependent regulation of seed oil in allotetraploid Brassica napus L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Annual review of genetics · 2023
    Review
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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

8 authors.

Yue HaoBioinformatics Research Center, North Carolina State University.
Jacob D WashburnInstitute for Genomic Diversity, Cornell University.
Jacob RosenthalDepartment of Biology, Oberlin College.
Brandon NielsenDepartment of Biology and Geosciences, Clarion University of Pennsylvania.
Eric LyonsSchool of Plant Sciences, University of Arizona.
Patrick P EdgerDepartment of Horticulture, Michigan State University.
J Chris PiresDivision of Biological Sciences, University of Missouri- Columbia.
Gavin C ConantBioinformatics Research Center, North Carolina State University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genes that are inherently subject to strong selective constraints tend to be overretained in duplicate after polyploidy. They also continue to experience similar, but somewhat relaxed, constraints after that polyploidy event. We sought to assess for how long the influence of polyploidy is felt on these genes' selective pressures. We analyzed two nested polyploidy events in Brassicaceae: the At-α genome duplication that is the most recent polyploidy in the model plant Arabidopsis thaliana and a more recent hexaploidy shared by the genus Brassica and its relatives. By comparing the strength and direction of the natural selection acting at the population and at the species level, we find evidence for continued intensified purifying selection acting on retained duplicates from both polyploidies even down to the present. The constraint observed in preferentially retained genes is not a result of the polyploidy event: the orthologs of such genes experience even stronger constraint in nonpolyploid outgroup genomes. In both the Arabidopsis and Brassica lineages, we further find evidence for segregating mildly deleterious variants, confirming that the population-level data uncover patterns not visible with between-species comparisons. Using the A. thaliana metabolic network, we also explored whether network position was correlated with the measured selective constraint. At both the population and species level, nodes/genes tended to show similar constraints to their neighbors. Our results paint a picture of the long-lived effects of polyploidy on plant genomes, suggesting that even yesterday's polyploids still have distinct evolutionary trajectories.

Indexed as

Evolution, MolecularArabidopsisBrassicaGene DosageGene DuplicationGenes, PlantGenome, PlantPhylogenyPolyploidySelection, Genetic

Identifiers

PMID29617811
PMCPMC5887293

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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.