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ZENODO
Dataset . 2014
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2014
License: CC 0
Data sources: Datacite
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Data from: Phylogeography and evolution of a fungal-insect association on the Tibetan Plateau

Authors: Zhang, Yongjie; Zhang, Shu; Li, Yuling; Ma, Shaoli; Wang, Chengshu; Xiang, Meichun; Liu, Xin; +3 Authors

Data from: Phylogeography and evolution of a fungal-insect association on the Tibetan Plateau

Abstract

Parasitoidism refers to a major form of inter-species interactions where parasitoids sterilize and/or kill their hosts typically before hosts reach reproductive age. However, relatively little is known about the evolutionary dynamics of parasitoidism. Here we investigate the spatial patterns of genetic variation of Chinese cordyceps, including both the parasitoidal fungus Ophiocordyceps sinensis and its host insects. We sampled broadly from alpine regions on the Tibetan Plateau and obtained sequences on seven fungal and three insect DNA fragments from each of the 125 samples. Seven and five divergent lineages/cryptic species were identified within the fungus and host insects respectively. Our analyses suggested that O. sinensis and host insects originated at similar geographic regions in southern Tibet/Yunnan, followed by range expansion to their current distributions. Cophylogenetic analyses revealed a complex evolutionary relationship between O. sinensis and its host insects. Significant congruence was found between host and parasite phylogenies and the time estimates of divergence were similar, raising the possibility of the occurrence of cospeciation events, but the incongruences suggested that host shifts were also prevalent. Interestingly, one fungal genotype was broadly distributed, consistent with recent gene flow. In contrast, the high-frequency insect genotypes showed limited geographic distributions. The dominant genotypes from both the fungus and the insect hosts may represent ideal materials from which to develop artificial cultivation of this important Chinese traditional medicine. Our results demonstrate that both historical and contemporary events have played important roles in the phylogeography and evolution of the O. sinensis-ghost moth parasitoidism on the Tibetan Plateau.

Fungus_Alignment_7loci_125individual_4326ntAlignmnet file of 125 Ophiocordyceps sinensis individuals on seven nuclear loci: nrDNA ITS, MAT1-2-1, csp1, OSRC14, OSRC17, OSRC27, and OSRC32. See ReadMe file for dataset partition.Insect_Alignment_3loci_125individual_1404ntAlignment of 125 ghost moth individuals on three loci:COI, cytb, and wg. See ReadMe file for dataset partition.Fungus_MP_BestOutputTreeBest MP tree of Ophiocordyceps sinensis based on 6 loci (nrDNA ITS, MAT1-2-1, csp1, OSRC14, OSRC17, and OSRC27)Fungus_Bayes_OutputTree.conBI tree of Ophiocordyceps sinensis based on 6 loci (nrDNA ITS, MAT1-2-1, csp1, OSRC14, OSRC17, and OSRC27)Fungus_Garli_OutputTreeML tree of Ophiocordyceps sinensis based on 6 loci (nrDNA ITS, MAT1-2-1, csp1, OSRC14, OSRC17, and OSRC27)Insect_MP_BestOutputTreeBest MP tree of ghost moths based on 2 loci (COI and wg)Insect_Bayes_OutputTree.conBI tree of ghost moths based on 2 loci (COI and wg)Insect_Garli_OutputTreeML tree of ghost moths based on 2 loci (COI and wg)raw data of infection trialinfection trial.xlsraw data of density surveydensity survey.xls

Keywords

Ophiocordyceps sinensis, Host Parasite Interactions, Thitarodes, Coevolution

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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