The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Open chromatin reveals the functional maize genome
Open accessAbstract
Significance: The maize genome, similar to those of most plant genomes, is 98% noncoding. Much of the remainder is a vast desert of repeats that remain repressed throughout the cell cycle. The plant cell orchestrates its complex activities by restricting access to functional regions with an open chromatin configuration. Here, we identify the small portion (<1%) of the maize genome residing in open chromatin. We demonstrate that open chromatin predicts molecular phenotypes such as gene expression and recombination. Furthermore, we show that genetic variation within open chromatin regions accounts for ∼40% of phenotypic variation in agronomic traits. By greatly narrowing the scope of the functional maize genome, this study can help to accelerate the pace of crop improvement through highly focused genomic selection and genome editing.
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
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
The accessible chromatin landscape of the human genome
Thurman, R. E., Rynes, E., Humbert, R., Vierstra, J., Maurano, M. T., Haugen, E., Sheffield, N. C., Stergachis, A. B., Wang, H., Vernot, B., et al. (2012) · Nature · doi:10.1038/nature11232 · Cited by 2,679
Identifying a High Fraction of the Human Genome to be under Selective Constraint Using GERP++
Davydov, E. V., Goode, D. L., Sirota, M., Cooper, G. M., Sidow, A., & Batzoglou, S. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001025 · Cited by 1,757
Drive Against Hotspot Motifs in Primates Implicates the PRDM9 Gene in Meiotic Recombination
Myers, S., Bowden, R., Tumian, A., Bontrop, R. E., Freeman, C., MacFie, T. S., McVean, G., & Donnelly, P. (2010) · Science · doi:10.1126/science.1182363 · Cited by 683
Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases
Gusev, A., Lee, S. H., Trynka, G., Finucane, H., Vilhjálmsson, B. J., Xu, H., Zang, C., Ripke, S., Bulik-Sullivan, B., Stahl, E., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.10.004 · Cited by 544
Castelletti, S., Tuberosa, R., Pindo, M., & Salvi, S. (2014) · G3 Genes|Genomes|Genetics · doi:10.1534/g3.114.010686 · Cited by 121
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
Breaking the curse of dimensionality to identify causal variants in Breeding 4
Ramstein, G. P., Jensen, S. E., & Buckler, E. S. (2019) · Theoretical and Applied Genetics · doi:10.1007/s00122-018-3267-3 · Cited by 87
Self-citationWashburn, J. D., Burch, M. B., & Franco, J. A. V. (2020) · Crop Science · doi:10.1002/csc2.20052 · Cited by 65
Ramstein, G. P., & Buckler, E. S. (2022) · Genome Biology · doi:10.1186/s13059-022-02747-2 · Cited by 34
Self-citation
Metadata
- Authors
- Rodgers-Melnick, E., Vera, D. L., Bass, H. W., & Buckler, E. S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2016-05-16
- Volume
- 113
- Issue
- 22
- Pages
- E3177-84
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2405567513
- Cited by
- 286
- References
- 7
- FWCI
- 29.93
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Open chromatin reveals the functional maize genome. https://app.cochat.ai/papers/10.1073/pnas.1525244113
- The paper
- Rodgers-Melnick, E., Vera, D. L., Bass, H. W., & Buckler, E. S. (2016). Open chromatin reveals the functional maize genome. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1525244113
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.
