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Molecular analysis of dispersal in giant pandas

Zhan, X. J., Zhang, Z. J., Wu, H., Goossens, Benoit, Li, M., Jiang, S. W., Bruford, Michael William and Wei, F. W. 2007. Molecular analysis of dispersal in giant pandas. Molecular Ecology 16 (18) , pp. 3792-3800. 10.1111/j.1365-294X.2007.03450.x

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Abstract

Although dispersal in the giant panda (Ailuropoda melanoleuca) is a demographic mechanism which can potentially counteract the negative effect of habitat fragmentation, little is known about dispersal in this species because of difficulties in observing individuals. Using data from faecal microsatellite genotyping, we compared the spatial distribution of giant pandas in two populations and the proximity of relatives in one key population to infer their dispersal pattern. We conclude that giant pandas exhibit female-biased dispersal because: (i) vAIc (variance of assignment index) for females was significantly larger than for males, suggesting that females comprise both 'local' and 'foreign' genotypes; (ii) the average spatial distance of related female dyads was significantly larger than that of males; (iii) larger r (relatedness), F(ST) (genetic variance among populations) and mAIc (mean of assignment index) values were found in males using the software FSTAT, although the differences were not significant; (iv) males set up territories neighbouring to their birth place; (v) significant population structure using microsatellites with a concomitant lack of mitochondrial structure was found in a previous study, possibly indicating more extensive female dispersal; and (vi) female-biased dispersal was strongly supported by evidence from concomitant ecological studies. Considering previous ecological data and life-history characteristics of the giant panda, female-biased dispersal is most likely to be due to competition for birth dens among females, inbreeding avoidance and enhancing inclusive fitness among related males.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Biosciences
Sustainable Places Research Institute (PLACES)
Publisher: Wiley Blackwell
ISSN: 0962-1083
Last Modified: 17 May 2019 21:12
URI: http://orca.cf.ac.uk/id/eprint/61556

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