Data · dataset · 2021
Data from: The accumulation of deleterious mutations as a consequence of domestication and improvement in sunflowers and other Compositae crops
Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp2/fu77bf
Description
Abstract
For populations to maintain optimal fitness, harmful mutations must be efficiently purged from the genome. Yet, under circumstances that diminish the effectiveness of natural selection, such as the process of plant and animal domestication, deleterious mutations are predicted to accumulate. Here, we compared the load of deleterious mutations in 21 accessions from natural populations and 19 domesticated accessions of the common sunflower using whole-transcriptome single nucleotide polymorphism data.
Read the rest (7 more)
Although we find that genetic diversity has been greatly reduced during domestication, the remaining mutations were disproportionally biased toward nonsynonymous substitutions. Bioinformatically predicted deleterious mutations affecting protein function were especially strongly over-represented. We also identify similar patterns in two other domesticated species of the sunflower family (globe artichoke and cardoon), indicating that this phenomenon is not due to idiosyncrasies of sunflower domestication or the sunflower genome.
Finally, we provide unequivocal evidence that deleterious mutations accumulate in low recombining regions of the genome, due to the reduced efficacy of purifying selection. These results represent a conundrum for crop improvement efforts. Although the elimination of harmful mutations should be a long-term goal of plant and animal breeding programs, it will be difficult to weed them out because of limited recombination.
Usage notes
HA412_trinity_noAltSplice_400bpmin.fa Link to reference transcriptome described in Renaut et al. 2013 (NatCom), used for all alignments, and previously deposited in Dryad as part of dx.doi.org/10.5061/dryad.9q1n4. new_provean_results_all Results of PROVEAN analyses identifying deleterious non-synonymous mutations. First column identifies the non-synonymous AA changes and their position (e.g. P113A). The correspondence between this AA change and the SNPs identified in the dataset can be found in this file (new_snp_table_effect).
Second column is the Provean score. Third column are the name of the genes. new_sift_results_all Results of SIFT analyses identifying deleterious non-synonymous mutations. First column identifies the non-synonymous AA changes and their positions (e.g. S11T).
Column 2-6 are the SIFT statistics. Last column are the name of the genes. unique_orf Unique (longest) open reading frames identified in the reference transcriptome snp_table_all3 Genotypes and positions of all SNPs identified in the dataset. new_snp_table_effect List of all SNPs. Column 4-43 indicate whether this SNP was noncoding (nc), non-synonymous (ns), synonymous (s), alternate stop codon (STOP), or homozygous reference allele (0).
Column 44 indicates whether this mutation was analyzed by PROVEAN. Column 45 indicates PROVEAN score, if applicable. Column 46-50 indicate frequency of alternate allele in different classes of individuals. table_S1_24_02_15 Table S1 with information about samples (location, sequencing stats, etc.)
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP2%2FFU77BF ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp2/fu77bf ↗
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 · Crop and pasture improvement · Crop and pasture improvement · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Sequencing 75% · Tabular 65%
Provenance · 2 source records, 23 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP2/FU77BF | 12 d ago | JSON v1 |
| Agri-environmental Research Data Dataverse | doi:10.5683/SP2/FU77BF | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:300406 | mapping · borealisdata ca dataverse | vocabulary-mapper@1.0.0 | keywords['crop improvement'] |
| concepts[field].anzsrc:field:300406 | mapping · borealisdata ca | vocabulary-mapper@1.0.0 | keywords['crop improvement'] |
| concepts[field].dataverse_subject:other | source · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].dataverse_subject:other | source · borealisdata ca | connector:borealisdata_ca@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 |
| concepts[modality].local:modality:sequencing | enrichment · borealisdata ca | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:tabular | enrichment · borealisdata ca | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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 |