Population genetics of lichen-forming fungi – a review
Популяционная генетика лишайникообразующих грибов — обзор
2010-08-03
SCID: 54.1/dz8uyxtv
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DNA-based molecular toolschemotype variationlichen-forming fungipopulation geneticsreproductive strategies
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Abstract (AI)
Abstract Population genetics investigates the distribution of genetic variation in natural populations and the genetic differentiation among populations. Lichen-forming fungi are exciting subjects for population genetic studies due to their obligate symbiosis with a green-algal and/or cyanobacterial photobiont, and because their different reproductive strategies could influence fungal genetic structures in various ways. In this review, first, I briefly summarize the results from studies of chemotype variation in populations of lichen-forming fungi. Second, I compare and evaluate the DNA-based molecular tools available for population genetics of lichen-forming fungi. Third, I review the literature available on the genetic structure of lichen fungi to show general trends. I discuss some fascinating examples, and point out directions for future research.
Key Findings
1
Chemotype variation in populations of lichen-forming fungi has been studied and summarized, indicating chemical diversity is a relevant population-genetic trait.
2
Different DNA-based molecular tools for population genetics of lichen-forming fungi are compared and evaluated for their suitability.
3
Existing literature on genetic structure of lichen fungi shows general trends, synthesized in the review.
4
Reproductive strategies and obligate symbiosis with photobionts are highlighted as factors that may influence fungal genetic structures in various ways.
5
The review identifies specific examples and outlines directions for future research in lichen-forming fungi population genetics.
Research Object
Lichen-forming fungi populations
Research Subject
Patterns and drivers of genetic variation and population genetic structure (including chemotype variation and effects of reproductive strategies), and evaluation of DNA-based molecular tools for studying these patterns
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Publication Date
2010-08-03
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