The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Genome sequencing reveals agronomically important loci in rice using MutMap
Abstract
The majority of agronomic traits are controlled by multiple genes that cause minor phenotypic effects, making the identification of these genes difficult. Here we introduce MutMap, a method based on whole-genome resequencing of pooled DNA from a segregating population of plants that show a useful phenotype. In MutMap, a mutant is crossed directly to the original wild-type line and then selfed, allowing unequivocal segregation in second filial generation (F2) progeny of subtle phenotypic differences. This approach is particularly amenable to crop species because it minimizes the number of genetic crosses (n = 1 or 0) and mutant F2 progeny that are required. We applied MutMap to seven mutants of a Japanese elite rice cultivar and identified the unique genomic positions most probable to harbor mutations causing pale green leaves and semidwarfism, an agronomically relevant trait. These results show that MutMap can accelerate the genetic improvement of rice and other crop plants.
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
Food Security: The Challenge of Feeding 9 Billion People
Godfray, H. C. J., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D., Muir, J. F., Pretty, J., Robinson, S., Thomas, S. M., & Toulmin, C. (2010) · Science · doi:10.1126/science.1185383 · Cited by 11,943
Michelmore, R. W., Paran, I., & Kesseli, R. V. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.21.9828 · Cited by 4,535
The map-based sequence of the rice genome
International Rice Genome Sequencing Project, & Sasaki, T. (2005) · Nature · doi:10.1038/nature03895 · Cited by 3,797
Mapping short DNA sequencing reads and calling variants using mapping quality scores
Li, H., Ruan, J., & Durbin, R. (2008) · Genome Research · doi:10.1101/gr.078212.108 · Cited by 2,638
Breeding Technologies to Increase Crop Production in a Changing World
Tester, M., & Langridge, P. (2010) · Science · doi:10.1126/science.1183700 · Cited by 2,322
Nakagawa, T., Kurose, T., Hino, T., Tanaka, K., Kawamukai, M., Niwa, Y., Toyooka, K., Matsuoka, K., Jinbo, T., & Kimura, T. (2007) · Journal of Bioscience and Bioengineering · doi:10.1263/jbb.104.34 · Cited by 1,643
A mutant gibberellin-synthesis gene in rice
Sasaki, A., Ashikari, M., Ueguchi-Tanaka, M., Itoh, H., Nishimura, A., Swapan, D., Ishiyama, K., Saito, T., Kobayashi, M., Khush, G. S., et al. (2002) · Nature · doi:10.1038/416701a · Cited by 1,411
Early infection of scutellum tissue with Agrobacterium allows high‐speed transformation of rice
Toki, S., Hara, N., Ono, K., Onodera, H., Tagiri, A., Oka, S., & Tanaka, H. (2006) · The Plant Journal · doi:10.1111/j.1365-313x.2006.02836.x · Cited by 794
SHOREmap: simultaneous mapping and mutation identification by deep sequencing
Schneeberger, K., Ossowski, S., Lanz, C., Juul, T., Petersen, A. H., Nielsen, K. L., Jørgensen, J.-E., Weigel, D., & Andersen, S. U. (2009) · Nature Methods · doi:10.1038/nmeth0809-550 · Cited by 605
Cited by
MutMap accelerates breeding of a salt-tolerant rice cultivar
Takagi, H., Tamiru, M., Abe, A., Yoshida, K., Uemura, A., Yaegashi, H., Obara, T., Oikawa, K., Utsushi, H., Kanzaki, E., et al. (2015) · Nature Biotechnology · doi:10.1038/nbt.3188 · Cited by 364
Self-citationEnhancing 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
A High-Density SNP Genotyping Array for Rice Biology and Molecular Breeding
Chen, H., Xie, W., He, H., Yu, H., Chen, W., Li, J., Yu, R., Yao, Y., Zhang, W., He, Y., et al. (2014) · Molecular Plant · doi:10.1093/mp/sst135 · Cited by 326
Bulked sample analysis in genetics, genomics and crop improvement
Zou, C., Wang, P., & Xu, Y. (2016) · Plant Biotechnology Journal · doi:10.1111/pbi.12559 · Cited by 323
Mora-Macías, J., Ojeda-Rivera, J. O., Gutiérrez-Alanís, D., Yong-Villalobos, L., Oropeza-Aburto, A., Raya-González, J., Jiménez-Domínguez, G., Chávez-Calvillo, G., Rellán-Álvarez, R., & Herrera-Estrella, L. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701952114 · Cited by 303
Metadata
- Authors
- Abe, A., Kosugi, S., Yoshida, K., Natsume, S., Takagi, H., Kanzaki, H., Matsumura, H., Yoshida, K., Mitsuoka, C., Tamiru, M., Innan, H., Cano, L., Kamoun, S., & Terauchi, R.
- Venue
- Nature Biotechnology
- Published
- 2012-01-22
- Volume
- 30
- Issue
- 2
- Pages
- 174-178
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W1965949446
- Cited by
- 1,363
- References
- 20
- FWCI
- 54.59
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Genome sequencing reveals agronomically important loci in rice using MutMap. https://app.cochat.ai/papers/10.1038/nbt.2095
- The paper
- Abe, A., Kosugi, S., Yoshida, K., Natsume, S., Takagi, H., Kanzaki, H., Matsumura, H., Yoshida, K., Mitsuoka, C., Tamiru, M., Innan, H., Cano, L., Kamoun, S., & Terauchi, R. (2012). Genome sequencing reveals agronomically important loci in rice using MutMap. Nature Biotechnology. https://doi.org/10.1038/nbt.2095
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.
