Evidence map›Paper›PMID 36285500›Full record

ArticleProceedings. Biological sciences2022

Hybridization order is not the driving factor behind biases in duplicate gene losses among the hexaploid Solanaceae.

Logan McRae, Aleksandra Beric, Gavin C Conant

Open access · hybridAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2022. 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
0.8field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. POInTBMC bioinformatics · 2023
    Article
  4. Article
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

3 authors at 2 institutions in 1 country.

Logan McRaeDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Aleksandra BericDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0002-9351-585X
Gavin C ConantDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0002-8677-4933
North Carolina State University · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We model the post-hexaploidy evolution of four genomes from the Solanaceae, a group of flowering plants comprising tomatoes, potatoes and their relatives. The hexaploidy that these genomes descend from occurred through two sequential allopolyploidy events and was marked by the unequal losses of duplicated genes from the different progenitor subgenomes. In contrast with the hexaploid Brassiceae (broccoli and its relatives), where the subgenome with the most surviving genes arrived last in the hexaploidy, among the Solanaceae the most preserved subgenome descends from one of the original two tetraploid progenitors. In fact, the last-arriving subgenome in these plants actually has the fewest surviving genes in the modern genomes. We explore whether the distribution of repetitive elements (REs) in these genomes can explain the biases in gene losses, but while the signals we find are broadly consistent with a role for high RE density in driving gene losses, the REs turn over so quickly that little signal of the RE condition at the time of paleopolyploidy is extant in the modern genomes.

Indexed as

BrassicaceaeSolanaceaeBiasEvolution, MolecularGenes, DuplicateGenome, PlantPolyploidybiased fractionationhexaploidypolyploidyrepetitive elementsSolanaceae

Identifiers

PMID36285500
PMCPMC9597411
OpenAlexW4307254692

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.