The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
The rubber tree genome reveals new insights into rubber production and species adaptation
Open accessAbstract
The Para rubber tree (Hevea brasiliensis) is an economically important tropical tree species that produces natural rubber, an essential industrial raw material. Here we present a high-quality genome assembly of this species (1.37 Gb, scaffold N50 = 1.28 Mb) that covers 93.8% of the genome (1.47 Gb) and harbours 43,792 predicted protein-coding genes. A striking expansion of the REF/SRPP (rubber elongation factor/small rubber particle protein) gene family and its divergence into several laticifer-specific isoforms seem crucial for rubber biosynthesis. The REF/SRPP family has isoforms with sizes similar to or larger than SRPP1 (204 amino acids) in 17 other plants examined, but no isoforms with similar sizes to REF1 (138 amino acids), the predominant molecular variant. A pivotal point in Hevea evolution was the emergence of REF1, which is located on the surface of large rubber particles that account for 93% of rubber in the latex (despite constituting only 6% of total rubber particles, large and small). The stringent control of ethylene synthesis under active ethylene signalling and response in laticifers resolves a longstanding mystery of ethylene stimulation in rubber production. Our study, which includes the re-sequencing of five other Hevea cultivars and extensive RNA-seq data, provides a valuable resource for functional genomics and tools for breeding elite Hevea cultivars.
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
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Trapnell, C., Roberts, A., Goff, L., Pertea, G., Kim, D., Kelley, D. R., Pimentel, H., Salzberg, S. L., Rinn, J. L., & Pachter, L. (2012) · Nature Protocols · doi:10.1038/nprot.2012.016 · Cited by 12,116
Cd-hit: Accelerated for clustering the next-generation sequencing data
Fu, L., Niu, B., Zhu, Z., Wu, S., & Li, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts565 · Cited by 11,175
Self-citationInfernal 1.1: 100-fold faster RNA homology searches
Nawrocki, E. P., & Eddy, S. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt509 · Cited by 3,591
Ethylene Biosynthesis and its Regulation in Higher Plants
Yang, S. F., & Hoffman, N. E. (1984) · Annual Review of Plant Physiology · doi:10.1146/annurev.pp.35.060184.001103 · Cited by 3,325
De novo assembly of human genomes with massively parallel short read sequencing
Li, R., Zhu, H., Ruan, J., Qian, W., Fang, X., Shi, Z., Li, Y., Li, S., Shan, G., Kristiansen, K., et al. (2010) · Genome Research · doi:10.1101/gr.097261.109 · Cited by 2,926 · cited 1×
“About one-quarter of the 342 annotated DEGs (>2-fold expressional change) are transcription factors (53) and protein kinases (31) (Supplementary Tables 22 and 23).”
BackgroundSelf-citationScaffolding pre-assembled contigs using SSPACE.
Boetzer, M., Henkel, C. V., Jansen, H. J., Butler, D., & Pirovano, W. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btq683 · Cited by 2,337
Genome-Wide Analysis of the ERF Gene Family in Arabidopsis and Rice
Nakano, T., Suzuki, K., Fujimura, T., & Shinshi, H. (2006) · Plant Physiology · doi:10.1104/pp.105.073783 · Cited by 2,288
Fast and SNP-tolerant detection of complex variants and splicing in short reads
Wu, T. D., & Nacu, S. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq057 · Cited by 1,894
Metadata
- Authors
- Tang, C., Yang, M., Fang, Y., Luo, Y., Gao, S., Xiao, X., An, Z., Zhou, B., Zhang, B., Tan, X., Yeang, H.-Y., Qin, Y., Yang, J., Lin, Q., Mei, H., Montoro, P., Long, X., Qi, J., Hua, Y., He, Z., Sun, M., Li, W., Zeng, X., Cheng, H., Liu, Y., Yang, J., Tian, W., Zhuang, N., Zeng, R., Li, D., He, P., Li, Z., Zou, Z., Li, S., Li, C., Wang, J., Wei, D., Lai, C.-Q., Luo, W., Yu, J., Hu, S., & Huang, H.
- Venue
- Nature Plants
- Published
- 2016-05-23
- Volume
- 2
- Issue
- 6
- Pages
- 16073-16073
- ISSN
- 2055-026X (ISSN-L)
- 2055-0278
- OpenAlex
- W2396830442
- Cited by
- 431
- References
- 39
- FWCI
- 18.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: The rubber tree genome reveals new insights into rubber production and species adaptation. https://app.cochat.ai/papers/10.1038/nplants.2016.73
- The paper
- Tang, C., Yang, M., Fang, Y., Luo, Y., Gao, S., Xiao, X., An, Z., Zhou, B., Zhang, B., Tan, X., Yeang, H.-Y., Qin, Y., Yang, J., Lin, Q., Mei, H., Montoro, P., Long, X., Qi, J., Hua, Y., . . . Huang, H. (2016). The rubber tree genome reveals new insights into rubber production and species adaptation. Nature Plants. https://doi.org/10.1038/nplants.2016.73
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.