Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Black and white and read all over: the past, present and future of giant panda genetics

Wei, Fuwen, Hu, Yibo, Zhu, Lifeng, Bruford, Michael William ORCID:, Zhan, Xiangjiang and Zhang, Lei 2012. Black and white and read all over: the past, present and future of giant panda genetics. Molecular Ecology 21 (23) , pp. 5660-5674. 10.1111/mec.12096

Full text not available from this repository.


Few species attract much more attention from the public and scientists than the giant panda (Ailuropoda melanoleuca), a popular, enigmatic but highly endangered species. The application of molecular genetics to its biology and conservation has facilitated surprising insights into the biology of giant pandas as well as the effectiveness of conservation efforts during the past decades. Here, we review the history of genetic advances in this species, from phylogeny, demographical history, genetic variation, population structure, noninvasive population census and adaptive evolution to reveal to what extent the current status of the giant panda is a reflection of its evolutionary legacy, as opposed to the influence of anthropogenic factors that have negatively impacted this species. In addition, we summarize the conservation implications of these genetic findings applied for the management of this high-profile species. Finally, on the basis of these advances and predictable future changes in genetic technology, we discuss future research directions that seem promising for giant panda biology and conservation.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Biosciences
Sustainable Places Research Institute (PLACES)
Subjects: Q Science > QH Natural history
Q Science > QH Natural history > QH426 Genetics
Q Science > QL Zoology
Uncontrolled Keywords: adaptation ; conservation genetics ; evolution ; giant panda ; molecular ecology
Publisher: Blackwell Publishing
ISSN: 0962-1083
Last Modified: 21 Oct 2022 10:55

Citation Data

Cited 81 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item