The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Comparative population genomics of maize domestication and improvement
Open accessAbstract
Domestication and plant breeding are ongoing 10,000-year-old evolutionary experiments that have radically altered wild species to meet human needs. Maize has undergone a particularly striking transformation. Researchers have sought for decades to identify the genes underlying maize evolution, but these efforts have been limited in scope. Here, we report a comprehensive assessment of the evolution of modern maize based on the genome-wide resequencing of 75 wild, landrace and improved maize lines. We find evidence of recovery of diversity after domestication, likely introgression from wild relatives, and evidence for stronger selection during domestication than improvement. We identify a number of genes with stronger signals of selection than those previously shown to underlie major morphological changes. Finally, through transcriptome-wide analysis of gene expression, we find evidence both consistent with removal of cis-acting variation during maize domestication and improvement and suggestive of modern breeding having increased dominance in expression while targeting highly expressed genes.
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
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Bootstrap Methods and their Application
Davison, A. C., & Hinkley, D. V. (1997) · doi:10.1017/cbo9780511802843 · Cited by 7,350
Megabase-scale inversion polymorphism in the wild ancestor of maize
Fang, Z., Pyhäjärvi, T., Weber, A. L., Dawe, R. K., Glaubitz, J. C., González, J. D. J. S., Ross-Ibarra, C., Doebley, J., Morrell, P. L., & Ross-Ibarra, J. (2012) · Genetics · doi:10.1534/genetics.112.138578 · Cited by 104
Self-citation
Cited by
Improved maize reference genome with single-molecule technologies
Jiao, Y., Peluso, P., Shi, J., Liang, T., Stitzer, M. C., Wang, B., Campbell, M. S., Stein, J. C., Wei, X., Chin, C.-S., et al. (2017) · Nature · doi:10.1038/nature22971 · Cited by 1,210
Self-citationGenetic Costs of Domestication and Improvement
Moyers, B. T., Morrell, P. L., & McKay, J. K. (2018) · Journal of Heredity · doi:10.1093/jhered/esx069 · Cited by 216
Self-citationYang, T., Liu, R., Luo, Y., Hu, S., Wang, D., Wang, C., Pandey, M. K., Ge, S., Xu, Q., Li, N., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01172-2 · Cited by 191
Genomic signatures of domestication on neurogenetic genes in Drosophila melanogaster
Stanley, C. E., & Kulathinal, R. J. (2016) · BMC Evolutionary Biology · doi:10.1186/s12862-015-0580-1 · Cited by 29
Trait drift in microalgae and applications for strain improvement
Jebali, A., Sanchez, M. R., Hanschen, E. R., Starkenburg, S. R., & Corcoran, A. A. (2022) · Biotechnology Advances · doi:10.1016/j.biotechadv.2022.108034 · Cited by 30
Large haplotypes highlight a complex age structure within the maize pan-genome
Liu, J., & Dawe, R. K. (2022) · doi:10.1101/2022.02.22.481510 · Cited by 8
Metadata
- Authors
- Hufford, M. B., Xu, X., van Heerwaarden, J., Pyhäjärvi, T., Chia, J.-M., Cartwright, R. A., Elshire, R. J., Glaubitz, J. C., Guill, K. E., Kaeppler, S. M., Lai, J., Morrell, P. L., Shannon, L. M., Song, C., Springer, N. M., Swanson-Wagner, R. A., Tiffin, P., Wang, J., Zhang, G., Doebley, J., McMullen, M. D., Ware, D., Buckler, E. S., Yang, S., & Ross-Ibarra, J.
- Venue
- Nature Genetics
- Published
- 2012-06-03
- Volume
- 44
- Issue
- 7
- Pages
- 808-811
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2055966372
- Cited by
- 960
- References
- 3
- FWCI
- 35.96
- Type
- journal article
- Language
- en
- Open access
- green
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.