ArticleGigaScience2019
Dissection of soybean populations according to selection signatures based on whole-genome sequences.
Article in GigaScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 4 papers.
What it found
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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.
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.
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Who cites it
4 citing papers in PubMed.
- A novel Synthetic phenotype association study approach reveals the landscape of association for genomic variants and phenotypes.Journal of advanced research · 2022Article
- Whole-genome sequence diversity and association analysis of 198 soybean accessions in mini-core collections.DNA research : an international journal for rapid publication of reports on genes and genomes · 2021Article
- Whole-Genome Diversification Analysis of the Hornbeam Species Reveals Speciation and Adaptation Among Closely Related Species.Frontiers in plant science · 2021Article
- Dissection of soybean populations according to selection signatures based on whole-genome sequences.GigaScience · 2019Article
Corrections and comments
- Expression of concern · 2020-04-29Concerns/Issues about Data · Concerns/Issues about Referencing/Attributions · Updated to Retraction ·
- Retraction · 2021-05-11Concerns/Issues about Data · Investigation by Company/Institution · Misconduct - Official Investigation(s) and/or Finding(s) · Misconduct by Author · Upgrade/Update of Prior Notice(s) ·
- Expression of concern
- Retracted
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDomestication and improvement processes, accompanied by selections and adaptations, have generated genome-wide divergence and stratification in soybean populations. Simultaneously, soybean populations, which comprise diverse subpopulations, have developed their own adaptive characteristics enhancing fitness, resistance, agronomic traits, and morphological features. The genetic traits underlying these characteristics play a fundamental role in improving other soybean populations.
resultsThis study focused on identifying the selection signatures and adaptive characteristics in soybean populations. A core set of 245 accessions (112 wild-type, 79 landrace, and 54 improvement soybeans) selected from 4,234 soybean accessions was re-sequenced. Their genomic architectures were examined according to the domestication and improvement, and accessions were then classified into 3 wild-type, 2 landrace, and 2 improvement subgroups based on various population analyses. Selection and gene set enrichment analyses revealed that the landrace subgroups have selection signals for soybean-cyst nematode HG type 0 and seed development with germination, and that the improvement subgroups have selection signals for plant development with viability and seed development with embryo development, respectively. The adaptive characteristic for soybean-cyst nematode was partially underpinned by multiple resistance accessions, and the characteristics related to seed development were supported by our phenotypic findings for seed weights. Furthermore, their adaptive characteristics were also confirmed as genome-based evidence, and unique genomic regions that exhibit distinct selection and selective sweep patterns were revealed for 13 candidate genes.
conclusionsAlthough our findings require further biological validation, they provide valuable information about soybean breeding strategies and present new options for breeders seeking donor lines to improve soybean populations.
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