Data · dataset · 2021
Data from: Multiple post-mating barriers to hybridisation in field crickets
Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp2/sek7gr
Description
Abstract
Mechanisms that prevent different species from interbreeding are fundamental to the maintenance of biodiversity. Barriers to interspecific matings, such as failure to recognize a potential mate, are often relatively easy to identify. Those occurring after mating, such as differences in the how successful sperm are in competition for fertilisations, are cryptic and have the potential to create selection on females to mate multiply as a defence against maladaptive hybridization.
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Cryptic advantages to conspecific sperm may be very widespread and have been identified based on the observations of higher paternity of conspecifics in several species. However, a relationship between the fate of sperm from two species within the female and paternity has never been demonstrated. We use competitive microsatellite PCR to show that in two hybridising cricket species, Gryllus bimaculatus and G. campestris, sequential cryptic reproductive barriers are present.
In competition with heterospecifics, more sperm from conspecific males is stored by females. Additionally, sperm from conspecific males has a higher fertilisation probability. This reveals that conspecific sperm precedence can occur through processes fundamentally under the control of females, providing avenues for females to evolve multiple mating as a defence against hybridization, with the counterintuitive outcome that promiscuity reinforces isolation and may promote speciation.
Usage notes
Tyler_et_al_genemapper_samples Genemapper output for spermathecal and offspring samples from each triad. Female.ID: A unique ID number given to each female, here used to identify triads. Sample.type: For each triad DNA from the spermatheca and offspring were extracted.
These are given as ‘sperm’ or ‘nymph’, respectively. Plex: Samples were screened with either individual markers or as plexes (details of microsatellite screening conditions are given in the supporting information ‘S2_Suppinfo’). Dye: The dyes used in the microsatellite screening.
Blue (B), Green (G) or Yellow (Y). Allele1 / Allele2: The unique allele identified for each male in the triad. Size1 / Size2: Peak height of an allele.
Area1 / Area2: Peak area of an allele. Tyler_et_al_genemapper_standards Genemapper output for the standards used to create a standard curve for each triad. Female.ID: A unique ID number given to each female, here used to identify triads.
Plex: Samples were screened with either individual markers or as plexes (details of microsatellite screening conditions are given in the supporting information ‘S2_Suppinfo’). Dye: The dyes used in the microsatellite screening. Blue (B), Green (G) or Yellow (Y).
Allele1 / Allele2: The unique allele identified for each male in the triad. Size1 / Size2: Peak height of an allele. Area1 / Area2: Peak area of an allele.
Standard: The percentage of DNA from the focal male added to the mix of DNA from both males. Tyler_et_al_standard_curves Detail of the standard curves calculated from the Genemapper output. Female.ID: A unique ID number given to each female, here used to identify triads.
Equation: The equation describing the fit of the curve through the standards for each triad. R-squared: The R-squared value for each standard curve. Tyler_et_al_triad_data Detail of the individuals used in mating trials, male success in sperm storage and siring offspring, the number of eggs laid, and the percentage of nymphs that hatched.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP2%2FSEK7GR ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp2/sek7gr ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP2%2… ↗
metadata API · from borealisdata ca
Topics
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Evolutionary biology 70%
Provenance · 2 source records, 20 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP2/SEK7GR | 13 d ago | JSON v1 |
| Agri-environmental Research Data Dataverse | doi:10.5683/SP2/SEK7GR | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3104 | enrichment · borealisdata ca | taxonomy-embedding@1.0.0 | title+keywords+description (70%) |
| concepts[field].dataverse_subject:other | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].dataverse_subject:other | source · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:ocean-atmospheric | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |