The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Toxicogenomic Multiverse: Convergent Recruitment of Proteins Into Animal Venoms
Abstract
Throughout evolution, numerous proteins have been convergently recruited into the venoms of various animals, including centipedes, cephalopods, cone snails, fish, insects (several independent venom systems), platypus, scorpions, shrews, spiders, toxicoferan reptiles (lizards and snakes), and sea anemones. The protein scaffolds utilized convergently have included AVIT/colipase/prokineticin, CAP, chitinase, cystatin, defensins, hyaluronidase, Kunitz, lectin, lipocalin, natriuretic peptide, peptidase S1, phospholipase A 2, sphingomyelinase D, and SPRY. Many of these same venom protein types have also been convergently recruited for use in the hematophagous gland secretions of invertebrates (e.g., fleas, leeches, kissing bugs, mosquitoes, and ticks) and vertebrates (e.g., vampire bats). Here, we discuss a number of overarching structural, functional, and evolutionary generalities of the protein families from which these toxins have been frequently recruited and propose a revised and expanded working definition for venom. Given the large number of striking similarities between the protein compositions of conventional venoms and hematophagous secretions, we argue that the latter should also fall under the same definition.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Antimicrobial peptides of multicellular organisms
Zasloff, M. (2002) · Nature · doi:10.1038/415389a · Cited by 8,457
Fry, B. G. (2005) · Genome Research · doi:10.1101/gr.3228405 · Cited by 486
Self-citationIbañez-Tallon, I., Miwa, J. M., Wang, H.-L., Adams, N. C., Crabtree, G. W., Sine, S. M., & Heintz, N. (2002) · Neuron · doi:10.1016/s0896-6273(02)00632-3 · Cited by 200
Modular Assembly of Genes and the Evolution of New Functions
Patthy, L. (2003) · Genetica · doi:10.1023/a:1024182432483 · Cited by 166
Cited by
Causes and Consequences of Snake Venom Variation
Casewell, N. R., Jackson, T. N. W., Laustsen, A. H., & Sunagar, K. (2020) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2020.05.006 · Cited by 396
Palm, N. W., Rosenstein, R. K., & Medzhitov, R. (2012) · Nature · doi:10.1038/nature11047 · Cited by 352
The Genome 10K Project: A Way Forward
Koepfli, K.-P., Paten, B., Scientists, T. G. 1. C. O., & O’Brien, S. J. (2015) · Annual Review of Animal Biosciences · doi:10.1146/annurev-animal-090414-014900 · Cited by 311
Palm, N. W., Rosenstein, R. K., Yu, S., Schenten, D. D., Florsheim, E., & Medzhitov, R. (2013) · Immunity · doi:10.1016/j.immuni.2013.10.006 · Cited by 214
Senji Laxme, R. R., Attarde, S., Khochare, S., Suranse, V., Martin, G., Casewell, N. R., Whitaker, R., & Sunagar, K. (2021) · PLOS Neglected Tropical Diseases · doi:10.1371/journal.pntd.0009150 · Cited by 101
Metadata
- Authors
- Fry, B. G., Roelants, K., Champagne, D. E., Scheib, H., Tyndall, J. D. A., King, G. F., Nevalainen, T. J., Norman, J. A., Lewis, R. J., Norton, R. S., Renjifo, C., & de la Vega, R. C. R.
- Venue
- Annual Review of Genomics and Human Genetics
- Publisher
- Annual Reviews
- Published
- 2009-09-01
- Volume
- 10
- Issue
- 1
- Pages
- 483-511
- ISSN
- 1527-8204 (ISSN-L)
- 1545-293X
- OpenAlex
- W2106449364
- Cited by
- 822
- References
- 4
- FWCI
- 2.35
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.