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Genome-wide data reveal cryptic diversity and genetic introgression in an Oriental cynopterine fruit bat radiation

Overview of attention for article published in BMC Ecology and Evolution, February 2016
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Title
Genome-wide data reveal cryptic diversity and genetic introgression in an Oriental cynopterine fruit bat radiation
Published in
BMC Ecology and Evolution, February 2016
DOI 10.1186/s12862-016-0599-y
Pubmed ID
Authors

Balaji Chattopadhyay, Kritika M. Garg, A. K. Vinoth Kumar, D. Paramanantha Swami Doss, Frank E. Rheindt, Sripathi Kandula, Uma Ramakrishnan

Abstract

The Oriental fruit bat genus Cynopterus, with several geographically overlapping species, presents an interesting case study to evaluate the evolutionary significance of coexistence versus isolation. We examined the morphological and genetic variability of congeneric fruit bats Cynopterus sphinx and C. brachyotis using 405 samples from two natural contact zones and 17 allopatric locations in the Indian subcontinent; and investigated the population differentiation patterns, evolutionary history, and the possibility of cryptic diversity in this species pair. Analysis of microsatellites, cytochrome b gene sequences, and restriction digestion based genome-wide data revealed that C. sphinx and C. brachyotis do not hybridize in contact zones. However, cytochrome b gene sequences and genome-wide SNP data helped uncover a cryptic, hitherto unrecognized cynopterine lineage in northeastern India coexisting with C. sphinx. Further analyses of shared variation of SNPs using Patterson's D statistics suggest introgression between this lineage and C. sphinx. Multivariate analyses of morphology using genetically classified grouping confirmed substantial morphological overlap between C. sphinx and C. brachyotis, specifically in the high elevation contact zones in southern India. Our results uncover novel diversity and detect a pattern of genetic introgression in a cryptic radiation of bats, demonstrating the complicated nature of lineage diversification in this poorly understood taxonomic group. Our results highlight the importance of genome-wide data to study evolutionary processes of morphologically similar species pairs. Our approach represents a significant step forward in evolutionary research on young radiations of non-model species that may retain the ability of interspecific gene flow.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Unknown 89 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 27%
Researcher 14 15%
Student > Bachelor 8 9%
Student > Master 8 9%
Student > Doctoral Student 5 5%
Other 13 14%
Unknown 18 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 48%
Biochemistry, Genetics and Molecular Biology 14 15%
Environmental Science 7 8%
Computer Science 2 2%
Psychology 1 1%
Other 0 0%
Unknown 23 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 September 2016.
All research outputs
#14,600,874
of 25,374,917 outputs
Outputs from BMC Ecology and Evolution
#2,429
of 3,714 outputs
Outputs of similar age
#145,915
of 312,017 outputs
Outputs of similar age from BMC Ecology and Evolution
#45
of 72 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 312,017 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.