Data from: Evaluating multilocus Bayesian species delimitation for discovery of cryptic mycorrhizal diversity

Michael R. Whitehead, Renee A. Catullo, Monica Ruibal, Kingsley W. Dixon, Rod Peakall & Celeste C. Linde
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...
2 citations reported since publication in 2018.
208 views reported since publication in 2018.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?
52 downloads reported since publication in 2018.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?