Evidence map›Paper›PMID 31530144›Full record

ArticleProceedings. Biological sciences2019

Ecological constraints associated with genome size across salamander lineages.

Gavia Lertzman-Lepofsky, Arne Ø Mooers, Dan A Greenberg

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

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

17 citing papers in PubMed.

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  9. The salamander blastema within the broader context of metazoan regeneration.Frontiers in cell and developmental biology · 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

3 authors.

Gavia Lertzman-LepofskyDepartment of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6.
Arne Ø MooersDepartment of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6.
Dan A GreenbergDepartment of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salamanders have some of the largest, and most variable, genome sizes among the vertebrates. Larger genomes have been associated with larger cell sizes, lower metabolic rates, and longer embryonic and larval durations in many different taxonomic groups. These life-history traits are often important for dictating fitness under different environmental conditions, suggesting that a species' genome size may have the potential to constrain its ecological distribution. We test how genome size varies with the ephemerality of larval habitat across the salamanders, predicting that species with larger genomes will be constrained to more permanent habitats that permit slower development, while species with smaller genomes will be more broadly distributed across the gradient of habitat ephemerality. We found that salamanders with larger genomes are almost exclusively associated with permanent aquatic habitats. In addition, the evolutionary transition rate between permanent and ephemeral larval habitats is much higher in salamander lineages with smaller genome sizes. These patterns suggest that genome size may act as an evolutionary constraint on the ecological habitats of salamanders, restricting those species with large genomes and slower development to habitats with permanent sources of water.

Indexed as

Genome SizeAnimalsBiological EvolutionCaudataEcosystemLarvaPhylogenyRetroelementsRetroelementsCaudatac-valuedevelopment timeevolutionary constrainttransition rates

Identifiers

PMID31530144
PMCPMC6784731

What OpenQuestion holds

Textmetadata
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.