Evidence map›Paper›PMID 26733576›Full record

ArticleGenome biology and evolution2016

Effects of Gene Duplication, Positive Selection, and Shifts in Gene Expression on the Evolution of the Venom Gland Transcriptome in Widow Spiders.

Robert A Haney, Thomas H Clarke, Rujuta Gadgil, Ryan Fitzpatrick, Cheryl Y Hayashi, Nadia A Ayoub, Jessica E Garb

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.5field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Review
  3. Gene and Genome Duplication in Spiders.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Widow spiders in the New World: a review onThe journal of venomous animals and toxins including tropical diseases · 2021
    Article
  12. Australian funnel-web spiders evolved human-lethal δ-hexatoxins for defense against vertebrate predators.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Homeobox Gene Duplication and Divergence in Arachnids.Molecular biology and evolution · 2018
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

7 authors at 3 institutions in 1 country.

Robert A HaneyDepartment of Biological Sciences, University of Massachusetts, Lowell robert_haney@uml.edu jessica_garb@uml.edu.
Thomas H ClarkeDepartment of Biology, Washington and Lee University Department of Biology, University of California, Riverside.
Rujuta GadgilDepartment of Biological Sciences, University of Massachusetts, Lowell.
Ryan FitzpatrickDepartment of Biological Sciences, University of Massachusetts, Lowell.
Cheryl Y HayashiDepartment of Biology, University of California, Riverside.
Nadia A AyoubDepartment of Biology, Washington and Lee University.
Jessica E GarbDepartment of Biological Sciences, University of Massachusetts, Lowell robert_haney@uml.edu jessica_garb@uml.edu.
University of Massachusetts Lowell · USWashington and Lee University · USUniversity of California, Riverside · US

Funding

Discovering Biomedically Significant Spider Venom Toxins with GenomicsR15GM097714 · NIGMS · UNIVERSITY OF MASSACHUSETTS LOWELL · PI GARB, JESSICA ELLEN · 2011 to 2015
$611k
Molecular evolution of latrotoxins: neurotoxins from black widow spider venomF32GM083661 · NIGMS · UNIVERSITY OF ARIZONA · PI GARB, JESSICA · 2007 to 2009
$91k
NIGMS NIH HHS 1F32GM083661-01NIGMS NIH HHS 1R15GM097714-01NIGMS NIH HHS 2R15GM097714-02NIGMS NIH HHS F32 GM083661NIGMS NIH HHS R15 GM097714
6 · The paper itself

Abstract

Gene duplication and positive selection can be important determinants of the evolution of venom, a protein-rich secretion used in prey capture and defense. In a typical model of venom evolution, gene duplicates switch to venom gland expression and change function under the action of positive selection, which together with further duplication produces large gene families encoding diverse toxins. Although these processes have been demonstrated for individual toxin families, high-throughput multitissue sequencing of closely related venomous species can provide insights into evolutionary dynamics at the scale of the entire venom gland transcriptome. By assembling and analyzing multitissue transcriptomes from the Western black widow spider and two closely related species with distinct venom toxicity phenotypes, we do not find that gene duplication and duplicate retention is greater in gene families with venom gland biased expression in comparison with broadly expressed families. Positive selection has acted on some venom toxin families, but does not appear to be in excess for families with venom gland biased expression. Moreover, we find 309 distinct gene families that have single transcripts with venom gland biased expression, suggesting that the switching of genes to venom gland expression in numerous unrelated gene families has been a dominant mode of evolution. We also find ample variation in protein sequences of venom gland-specific transcripts, lineage-specific family sizes, and ortholog expression among species. This variation might contribute to the variable venom toxicity of these species.

Indexed as

Evolution, MolecularGene DuplicationSelection, GeneticTranscriptomeAnimalsEndocrine GlandsFemaleSpidersSpider VenomsSpider Venomsblack widowcomparative transcriptomicsgene family evolutionLatrodectusvenomics

Identifiers

PMID26733576
PMCPMC4758249
OpenAlexW2231549281

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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.