The DOI matches its Crossref record.
DNA amplification from vegetative and sexual tissues of trees using polymerase chain reaction
Abstract
A simple protocol for the extraction of total DNA from minute amounts of tissues and subsequent amplification of specific sequences by polymerase chain reaction is presented. The method is applicable to a wide variety of vegetative tissues such as leaves, single needles and rootlets, cell suspensions, and also single sexual embryos and megagametophytes derived from a variety of gymnosperms and perennial angiosperms. Amplification of DNA is shown using pairs of primers specific to genes that encode the small ribosomal subunit.
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Citations
Cited by
Diversity of fungal symbionts in arbuscular mycorrhizas from a natural community
CLAPP, J. P., YOUNG, J. P. W., MERRYWEATHER, J. W., & FITTER, A. H. (1995) · New Phytologist · doi:10.1111/j.1469-8137.1995.tb03047.x · Cited by 396
Samantaray, S., & Maiti, S. (2010) · Biologia plantarum · doi:10.1007/s10535-010-0058-3 · Cited by 31
Metadata
- Authors
- Bousquet, J., Simon, L., & Lalonde, M.
- Venue
- Canadian Journal of Forest Research
- Publisher
- Canadian Science Publishing
- Published
- 1990-02-01
- Volume
- 20
- Issue
- 2
- Pages
- 254-257
- ISSN
- 0045-5067 (ISSN-L)
- 1208-6037
- OpenAlex
- W2113984974
- Cited by
- 210
- References
- 0
- FWCI
- 1.76
- Type
- journal article
- Language
- fr
- Open access
- closed
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- CoChat. (2026). Citation check: DNA amplification from vegetative and sexual tissues of trees using polymerase chain reaction. https://app.cochat.ai/papers/10.1139/x90-037
- The paper
- Bousquet, J., Simon, L., & Lalonde, M. (1990). DNA amplification from vegetative and sexual tissues of trees using polymerase chain reaction. Canadian Journal of Forest Research. https://doi.org/10.1139/x90-037
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.
