Files: K.usitatus_9017_SNPs.ped, K.usitatus_9017_SNPs.map
\n\nGenotype information of 130 individuals of Kosciuscola usitatus analysed at 9,017 SNPs. The data was used to perform selection detection tests. The files are in PED and MAP format. MAP file= list of names of SNP markers
\n\nFile: K.usitatus_3321_SNPs.str
\n\nFile with 3,321 SNPs and 130 individuals, used to analyse pairwise Fst, genetic structure, isolation by distance and spatial autocorrelation analyses for Kosciuscola usitatus.\u00a0The file is STRUCTURE formatted. Missing values are coded as -9
\n\nFile: K.usitatus_envt_data.csv
\n\nEnvironmental data information used to detect signatures of selection (EAA analysis, pRDA and RDA).
\n\npop= population information representing the area of collection for each individual
\n\ntransect= transect information for each individual
\n\nlocation= Location
\n\nindividual= unique name of individual
\n\nelevation= elevation in meter above sea level
\n\nFPC= Foliage Projective Cover (%)
\n\nprecipseas = precipitation seasonality
\n\nroughness = terrain roughness
\n\nFZ = number of frost days
\n\nbd = soil bulk density
\n\nph = soil ph\u00a0\u00a0\u00a0\u00a0\u00a0
\n\nfemur length = measured in mm
\n\nsex = sex per individual, binary coded: male = 0, female = 1
\n\n\u00a0
\n\nFiles: K.tristis_7363_SNPS.ped, K.tristis_7363_SNPS.map
\n\nGenotype information of a total of 135 individuals of Kosciuscola usitatus analysed at 7,363 SNPs. The data was used to perform selection detection tests. The files are in PED and MAP format. MAP file= list of names of SNP markers
\n\nFile: K.tristis_3566_SNPS.str
\n\nFile with 3,566 SNPs and 135 individuals, used to analyse pairwise Fst, genetic structure, isolation by distance and spatial autocorrelation analyses for Kosciuscola tristis.\u00a0The file is STRUCTURE formatted. Missing values are coded as -9
\n\n\u00a0
\n\nFile: K.tristis_envt_data
\n\nEnvironmental data information used to detect signatures of selection (EAA analysis, pRDA and RDA).
\n\npop= population information representing the area of collection for each individual
\n\ntransect= transect information for each individual
\n\nlocation= Location
\n\nindividual= unique name of individual
\n\nelevation= elevation in meter above sea level
\n\nFPC= Foliage Projective Cover (%)
\n\nprecipseas = precipitation seasonality
\n\nroughness = terrain roughness
\n\nFZ = number of frost days
\n\nbd = soil bulk density
\n\nph = soil ph\u00a0\u00a0\u00a0\u00a0\u00a0
\n\nfemur length = measured in mm
\n\nsex = sex per individual, binary coded: male = 0, female = 1
\n\n\u00a0
\n\nFile: Whole_data_3058_SNPs.ped, Whole_data_3058_SNPs.map
\n\nGenotype information of 266 individuals (129 K. usitatus, 137 K. tristis) analysed at 3,058 SNPs. The data was used to perform selection detection tests. The files are in PED and MAP format. MAP file= list of names of SNP markers
\n\nFile: Whole_data_2143_SNPs.str
\n\nFile with 2,143 SNPs and 266 individuals, used to perform genetic structure analysis for the common dataset for the two species.\u00a0The file is STRUCTURE formatted. Missing values are coded as -9
\n\n\u00a0
", "type": { "id": "notes", "title": { "de": "Anmerkungen", "en": "Notes" } } } ], "creators": [ { "affiliations": [ { "name": "Macquarie University" } ], "person_or_org": { "family_name": "Yadav", "given_name": "Sonu", "identifiers": [ { "identifier": "0000-0001-5521-2789", "scheme": "orcid" } ], "name": "Yadav, Sonu", "type": "personal" } }, { "affiliations": [ { "name": "Macquarie University" } ], "person_or_org": { "family_name": "Stow", "given_name": "Adam", "name": "Stow, Adam", "type": "personal" } }, { "affiliations": [ { "name": "Macquarie University" } ], "person_or_org": { "family_name": "Dudaniec", "given_name": "Rachael", "name": "Dudaniec, Rachael", "type": "personal" } } ], "description": "Local adaptation can occur at small spatial scales relative to the dispersal capacity of species. Alpine ecosystems have sharp environmental clines that offer an opportunity to investigate the effects of fine scale shifts in species' niche breadth on adaptive genetic processes. Here we examine two grasshopper species endemic to the Australian Alps (Kosciuscola spp.) that differ in elevational niche breadth; one broader, K. usitatus (1400-2200m), and one narrower, K. tristis (1600-2000m). We examine signatures of selection with respect to environmental and morphological variables in two mountain regions using FST outlier tests and environmental association analyses (EAA) applied to Single Nucleotide Polymorphism data (K. usitatus: 9,017 SNPs, n = 130; K. tristis: 7,363 SNPs, n = 135). Stronger genetic structure was found in the more narrowly distributed K. tristis, which showed almost twice the number of SNPs under putative selection (10.8%) compared with K. usitatus (5.3%). When examining SNPs in common across species (n = 3,058), 260 SNPs (8.5%) were outliers shared across species, and these were mostly associated with elevation, a proxy for temperature, suggesting parallel adaptive processes in response to climatic drivers. Additive polygenic scores (an estimate of the cumulative signal of selection across all candidate loci) were non-linearly and positively correlated with elevation in both species. However, a steeper correlation in K. tristis indicated a stronger signal of spatially varying selection towards higher elevations. Our study illustrates that the niche breadth of co-occurring and related species distributed along the same environmental cline is associated with differences in patterns of microgeographic adaptation.
", "publication_date": "2020-11-16", "publisher": "Zenodo", "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "CC0 waives copyright interest in a work you've created and dedicates it to the world-wide public domain. Use CC0 to opt out of copyright entirely and ensure your work has the widest reach." }, "icon": "cc-cc0-icon", "id": "cc0-1.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/publicdomain/zero/1.0/legalcode" }, "title": { "en": "Creative Commons Zero v1.0 Universal" } } ], "title": "Microgeographic adaptation corresponds with elevational distributions of congeneric montane grasshoppers" }, "parent": { "access": { "owned_by": { "user": "90070" } }, "communities": { "default": "734b6452-1f40-4db0-b218-08ab1d568b7f", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2020-02-04T14:03:17.992421+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "734b6452-1f40-4db0-b218-08ab1d568b7f", "links": {}, "metadata": { "curation_policy": "The Dryad collection in Zenodo contains datasets mirrored from the Dryad Digital Repository. If you want your dataset to appear here, submit it through https://datadryad.org. No other datasets will be accepted.
", "description": "Dryad is an international open-access repository of research data, especially data underlying scientific and medical publications. Dryad is a curated general-purpose repository that makes data discoverable, freely reusable, and citable.", "organizations": [ { "id": "00x6h5n95" } ], "page": "Dryad is a community-governed open data publishing and curation repository. Through Dryad and Zenodo's partnership, Zenodo hosts a preservation copy of Dryad datasets, available through this Zenodo Community. For more information or to access the original published datasets, visit https://datadryad.org.
", "title": "Dryad", "type": { "id": "organization" }, "website": "https://datadryad.org" }, "revision_id": 3, "slug": "dryad", "updated": "2024-02-01T21:26:57.292847+00:00" } ], "ids": [ "734b6452-1f40-4db0-b218-08ab1d568b7f" ] }, "id": "4276315", "pids": {} }, "pids": { "doi": { "identifier": "10.5061/dryad.931zcrjj2", "provider": "external" }, "oai": { "identifier": "oai:zenodo.org:4276316", "provider": "oai" } }, "revision_id": 3, "stats": { "all_versions": { "data_volume": 395936191.0, "downloads": 220, "unique_downloads": 200, "unique_views": 130, "views": 131 }, "this_version": { "data_volume": 395936191.0, "downloads": 220, "unique_downloads": 200, "unique_views": 130, "views": 131 } }, "status": "published", "swh": {}, "updated": "2022-06-03T18:29:19.468709+00:00", "versions": { "index": 1, "is_latest": true } }