The DOI matches its Crossref record.
Generation of a flanking sequence‐tag database for activation‐tagging lines in japonica rice
Open accessAbstract
Summary: We have generated 47 932 T‐DNA tag lines in japonica rice using activation‐tagging vectors that contain tetramerized 35S enhancer sequences. To facilitate use of those lines, we isolated the genomic sequences flanking the inserted T‐DNA via inverse polymerase chain reaction. For most of the lines, we performed four sets of amplifications using two different restriction enzymes toward both directions. In analyzing 41 234 lines, we obtained 27 621 flanking sequence tags (FSTs), among which 12 505 were integrated into genic regions and 15 116 into intergenic regions. Mapping of the FSTs on chromosomes revealed that T‐DNA integration frequency was generally proportional to chromosome size. However, T‐DNA insertions were non‐uniformly distributed on each chromosome: higher at the distal ends and lower in regions close to the centromeres. In addition, several regions showed extreme peaks and valleys of insertion frequency, suggesting hot and cold spots for T‐DNA integration. The density of insertion events was somewhat correlated with expressed, rather than predicted, gene density along each chromosome. Analyses of expression patterns near the inserted enhancer showed that at least half the test lines displayed greater expression of the tagged genes. Whereas in most of the increased lines expression patterns after activation were similar to those in the wild type, thereby maintaining the endogenous patterns, the remaining lines showed changes in expression in the activation tagged lines. In this case, ectopic expression was most frequently observed in mature leaves. Currently, the database can be searched with the gene locus number or location on the chromosome at http://www.postech.ac.kr/life/pfg/risd. On request, seeds of the T1 or T2 plants will be provided to the scientific community.
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
Cited by
Natural variation in GS5 plays an important role in regulating grain size and yield in rice
Li, Y., Fan, C., Xing, Y., Jiang, Y., Luo, L., Sun, L., Shao, D., Xu, C., Li, X., Xiao, J., et al. (2011) · Nature Genetics · doi:10.1038/ng.977 · Cited by 939
OsSPL13 controls grain size in cultivated rice
Si, L., Chen, J., Huang, X., Gong, H., Luo, J., Hou, Q., Zhou, T., Lu, T., Zhu, J., Shangguan, Y., et al. (2016) · Nature Genetics · doi:10.1038/ng.3518 · Cited by 774
Self-citationZhang, X., Wang, J., Huang, J., Lan, H., Wang, C., Yin, C., Wu, Y., Tang, H., Qian, Q., Li, J., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219776110 · Cited by 472
Discovery of chemically induced mutations in rice by TILLING
Till, B. J., Cooper, J., Tai, T. H., Colowit, P., Greene, E. A., Henikoff, S., & Comai, L. (2007) · BMC Plant Biology · doi:10.1186/1471-2229-7-19 · Cited by 465
Zhang, Y., Xu, Y., Yi, H., & Gong, J. (2012) · The Plant Journal · doi:10.1111/j.1365-313x.2012.05088.x · Cited by 413
Metadata
- Authors
- Jeong, D., An, S., Park, S., Kang, H., Park, G., Kim, S., Sim, J., Kim, Y., Kim, M., Kim, S., Kim, J., Shin, M., Jung, M., & An, G.
- Venue
- The Plant Journal
- Publisher
- Wiley
- Published
- 2005-12-06
- Volume
- 45
- Issue
- 1
- Pages
- 123-132
- ISSN
- 0960-7412 (ISSN-L)
- 1365-313X
- OpenAlex
- W2059683056
- Cited by
- 333
- References
- 0
- FWCI
- 20.65
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Generation of a flanking sequence‐tag database for activation‐tagging lines in japonica rice. https://app.cochat.ai/papers/10.1111/j.1365-313x.2005.02610.x
- The paper
- Jeong, D., An, S., Park, S., Kang, H., Park, G., Kim, S., Sim, J., Kim, Y., Kim, M., Kim, S., Kim, J., Shin, M., Jung, M., & An, G. (2006). Generation of a flanking sequence‐tag database for activation‐tagging lines in japonica rice. The Plant Journal. https://doi.org/10.1111/j.1365-313x.2005.02610.x
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.