The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Genome sequencing and population genomic analyses provide insights into the adaptive landscape of silver birch
Open accessAbstract
Silver birch (Betula pendula) is a pioneer boreal tree that can be induced to flower within 1 year. Its rapid life cycle, small (440-Mb) genome, and advanced germplasm resources make birch an attractive model for forest biotechnology. We assembled and chromosomally anchored the nuclear genome of an inbred B. pendula individual. Gene duplicates from the paleohexaploid event were enriched for transcriptional regulation, whereas tandem duplicates were overrepresented by environmental responses. Population resequencing of 80 individuals showed effective population size crashes at major points of climatic upheaval. Selective sweeps were enriched among polyploid duplicates encoding key developmental and physiological triggering functions, suggesting that local adaptation has tuned the timing of and cross-talk between fundamental plant processes. Variation around the tightly-linked light response genes PHYC and FRS10 correlated with latitude and longitude and temperature, and with precipitation for PHYC. Similar associations characterized the growth-promoting cytokinin response regulator ARR1, and the wood development genes KAK and MED5A.
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
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R., Garimella, K. V., Maguire, J. R., Hartl, C., Philippakis, A. A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,456
Analysis of the genome sequence of the flowering plant Arabidopsis thaliana
Initiative, T. A. G. (2000) · Nature · doi:10.1038/35048692 · Cited by 9,301
The Genome of Black Cottonwood, Populus trichocarpa (Torr. & Gray)
Tuskan, G. A., DiFazio, S., Jansson, S., Bohlmann, J., Grigoriev, I., Hellsten, U., Putnam, N., Ralph, S., Rombauts, S., Salamov, A., et al. (2006) · Science · doi:10.1126/science.1128691 · Cited by 4,326
Self-citationThe grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla
The French–Italian Public Consortium for Grapevine Genome Characterization (2007) · Nature · doi:10.1038/nature06148 · Cited by 3,767
ANGSD: Analysis of Next Generation Sequencing Data
Korneliussen, T. S., Albrechtsen, A., & Nielsen, R. (2014) · BMC Bioinformatics · doi:10.1186/s12859-014-0356-4 · Cited by 2,982
Ancient Admixture in Human History
Patterson, N., Moorjani, P., Luo, Y., Mallick, S., Rohland, N., Zhan, Y., Genschoreck, T., Webster, T., & Reich, D. (2012) · Genetics · doi:10.1534/genetics.112.145037 · Cited by 2,848
The Norway spruce genome sequence and conifer genome evolution
Nystedt, B., Street, N. R., Wetterbom, A., Zuccolo, A., Lin, Y.-C., Scofield, D. G., Vezzi, F., Delhomme, N., Giacomello, S., Alexeyenko, A., et al. (2013) · Nature · doi:10.1038/nature12211 · Cited by 1,466
Boreal forest health and global change
Gauthier, S., Bernier, P., Kuuluvainen, T., Shvidenko, A. Z., & Schepaschenko, D. G. (2015) · Science · doi:10.1126/science.aaa9092 · Cited by 1,225
Evolution of the mutation rate
Lynch, M. (2010) · Trends in Genetics · doi:10.1016/j.tig.2010.05.003 · Cited by 1,151
Sakuma, Y., Maruyama, K., Osakabe, Y., Qin, F., Seki, M., Shinozaki, K., & Yamaguchi-Shinozaki, K. (2006) · The Plant Cell · doi:10.1105/tpc.105.035881 · Cited by 1,129
Cited by
He, F., Pasam, R., Shi, F., Kant, S., Keeble-Gagnere, G., Kay, P., Forrest, K., Fritz, A., Hucl, P., Wiebe, K., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0382-2 · Cited by 357
Population sequencing enhances understanding of tea plant evolution
Wang, X., Feng, H., Chang, Y., Ma, C., Wang, L., Hao, X., Li, A., Cheng, H., Wang, L., Cui, P., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18228-8 · Cited by 253
Metadata
- Authors
- Salojärvi, J., Smolander, O.-P., Nieminen, K., Rajaraman, S., Safronov, O., Safdari, P., Lamminmäki, A., Immanen, J., Lan, T., Tanskanen, J., Rastas, P., Amiryousefi, A., Jayaprakash, B., Kammonen, J. I., Hagqvist, R., Eswaran, G., Ahonen, V. H., Serra, J. A., Asiegbu, F. O., de Dios Barajas-Lopez, J., Blande, D., Blokhina, O., Blomster, T., Broholm, S., Brosché, M., Cui, F., Dardick, C., Ehonen, S. E., Elomaa, P., Escamez, S., Fagerstedt, K. V., Fujii, H., Gauthier, A., Gollan, P. J., Halimaa, P., Heino, P. I., Himanen, K., Hollender, C., Kangasjärvi, S., Kauppinen, L., Kelleher, C. T., Kontunen-Soppela, S., Koskinen, J. P., Kovalchuk, A., Kärenlampi, S. O., Kärkönen, A. K., Lim, K.-J., Leppälä, J., Macpherson, L., Mikola, J., Mouhu, K., Mähönen, A. P., Niinemets, Ü., Oksanen, E., Overmyer, K., Palva, E. T., Pazouki, L., Pennanen, V., Puhakainen, T., Poczai, P., Possen, B. J. H. M., Punkkinen, M., Rahikainen, M. M., Rousi, M., Ruonala, R., van der Schoot, C., Shapiguzov, A., Sierla, M., Sipilä, T. P., Sutela, S., Teeri, T. H., Tervahauta, A. I., Vaattovaara, A., Vahala, J., Vetchinnikova, L., Welling, A., Wrzaczek, M., Xu, E., Paulin, L. G., Schulman, A. H., Lascoux, M., Albert, V. A., Auvinen, P., Helariutta, Y., & Kangasjärvi, J.
- Venue
- Nature Genetics
- Published
- 2017-05-08
- Volume
- 49
- Issue
- 6
- Pages
- 904-912
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2613390253
- Cited by
- 286
- References
- 66
- FWCI
- 21.71
- 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: Genome sequencing and population genomic analyses provide insights into the adaptive landscape of silver birch. https://app.cochat.ai/papers/10.1038/ng.3862
- The paper
- Salojärvi, J., Smolander, O.-P., Nieminen, K., Rajaraman, S., Safronov, O., Safdari, P., Lamminmäki, A., Immanen, J., Lan, T., Tanskanen, J., Rastas, P., Amiryousefi, A., Jayaprakash, B., Kammonen, J. I., Hagqvist, R., Eswaran, G., Ahonen, V. H., Serra, J. A., Asiegbu, F. O., . . . Kangasjärvi, J. (2017). Genome sequencing and population genomic analyses provide insights into the adaptive landscape of silver birch. Nature Genetics. https://doi.org/10.1038/ng.3862
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.