کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5517647 1543639 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluating multilocus Bayesian species delimitation for discovery of cryptic mycorrhizal diversity
ترجمه فارسی عنوان
ارزیابی تعریفی گونه های بیواسی چند زوجی برای کشف تنوع میکوریزا پریود
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی

The increasing availability of DNA sequence data enables exciting new opportunities for fungal ecology. However, it amplifies the challenge of how to objectively classify the diversity of fungal sequences into meaningful units, often in the absence of morphological characters. Here, we test the utility of modern multilocus Bayesian coalescent-based methods for delimiting cryptic fungal diversity in the orchid mycorrhiza morphospecies Serendipita vermifera. We obtained 147 fungal isolates from Caladenia, a speciose clade of Australian orchids known to associate with Serendipita fungi. DNA sequence data for 7 nuclear and mtDNA loci were used to erect competing species hypotheses by clustering isolates based on: (a) ITS sequence divergence, (b) Bayesian admixture analysis, and (c) mtDNA variation. We implemented two coalescent-based Bayesian methods to determine which species hypothesis best fitted our data. Both methods found strong support for eight species of Serendipita among our isolates, supporting species boundaries reflected in ITS divergence. Patterns of host plant association showed evidence for both generalist and specialist associations within the host genus Caladenia. Our findings demonstrate the utility of Bayesian species delimitation methods and suggest that wider application of these techniques will readily uncover new species in other cryptic fungal lineages.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fungal Ecology - Volume 26, April 2017, Pages 74-84
نویسندگان
, , , , , ,