The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Whole genome de novo assemblies of three divergent strains of rice, Oryza sativa , document novel gene space of aus and indica
Open accessAbstract
BACKGROUND: The use of high throughput genome-sequencing technologies has uncovered a large extent of structural variation in eukaryotic genomes that makes important contributions to genomic diversity and phenotypic variation. When the genomes of different strains of a given organism are compared, whole genome resequencing data are typically aligned to an established reference sequence. However, when the reference differs in significant structural ways from the individuals under study, the analysis is often incomplete or inaccurate. RESULTS: Here, we use rice as a model to demonstrate how improvements in sequencing and assembly technology allow rapid and inexpensive de novo assembly of next generation sequence data into high-quality assemblies that can be directly compared using whole genome alignment to provide an unbiased assessment. Using this approach, we are able to accurately assess the "pan-genome" of three divergent rice varieties and document several megabases of each genome absent in the other two. CONCLUSIONS: Many of the genome-specific loci are annotated to contain genes, reflecting the potential for new biological properties that would be missed by standard reference-mapping approaches. We further provide a detailed analysis of several loci associated with agriculturally important traits, including the S5 hybrid sterility locus, the Sub1 submergence tolerance locus, the LRK gene cluster associated with improved yield, and the Pup1 cluster associated with phosphorus deficiency, illustrating the utility of our approach for biological discovery. All of the data and software are openly available to support further breeding and functional studies of rice and other species.
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Cites
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Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
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A fast, lock-free approach for efficient parallel counting of occurrences of k -mers
Marçais, G., & Kingsford, C. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr011 · Cited by 4,661
Genetic Structure and Diversity in Oryza sativa L.
Garris, A. J., Tai, T. H., Coburn, J., Kresovich, S., & McCouch, S. (2005) · Genetics · doi:10.1534/genetics.104.035642 · Cited by 1,137
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Cited by
Pan-genome analysis of 33 genetically diverse rice accessions reveals hidden genomic variations
Qin, P., Lu, H., Du, H., Wang, H., Chen, W., Chen, Z., He, Q., Ou, S., Zhang, H., Li, X., et al. (2021) · Cell · doi:10.1016/j.cell.2021.04.046 · Cited by 578
Enhancing genetic gain in the era of molecular breeding
Xu, Y., Li, P., Zou, C., Lu, Y., Xie, C., Zhang, X., Prasanna, B. M., & Olsen, M. S. (2017) · Journal of Experimental Botany · doi:10.1093/jxb/erx135 · Cited by 336
Stevens, C. J., Murphy, C., Roberts, R., Lucas, L., Silva, F., & Fuller, D. Q. (2016) · The Holocene · doi:10.1177/0959683616650268 · Cited by 303
Current status of structural variation studies in plants
Yuan, Y., Bayer, P. E., Batley, J., & Edwards, D. (2021) · Plant Biotechnology Journal · doi:10.1111/pbi.13646 · Cited by 163
The rise and fall of African rice cultivation revealed by analysis of 246 new genomes
Cubry, P., Tranchant-Dubreuil, C., Thuillet, A.-C., Monat, C., Ndjiondjop, M.-N., Labadie, K., Cruaud, C., Engelen, S., Scarcelli, N., Rhoné, B., et al. (2018) · Current Biology · doi:10.1016/j.cub.2018.05.066 · Cited by 142
Metadata
- Authors
- Schatz, M. C., Maron, L. G., Stein, J. C., Wences, A., Gurtowski, J., Biggers, E., Lee, H., Kramer, M., Antoniou, E., Ghiban, E., Wright, M. H., Chia, J.-M., Ware, D., McCouch, S. R., & McCombie, W.
- Venue
- Genome Biology
- Published
- 2014
- Volume
- 15
- Issue
- 11
- Pages
- 506
- ISSN
- 1465-6906 (ISSN-L)
- OpenAlex
- W2104375019
- Cited by
- 275
- References
- 4
- FWCI
- 9.37
- Type
- journal article
- Language
- en
- Open access
- gold
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- Schatz, M. C., Maron, L. G., Stein, J. C., Wences, A., Gurtowski, J., Biggers, E., Lee, H., Kramer, M., Antoniou, E., Ghiban, E., Wright, M. H., Chia, J.-M., Ware, D., McCouch, S. R., & McCombie, W. (2014). Whole genome de novo assemblies of three divergent strains of rice, Oryza sativa , document novel gene space of aus and indica. Genome Biology. https://doi.org/10.1186/preaccept-2784872521277375
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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.