↓ Skip to main content

Non-invasive genetic sampling for molecular sexing and microsatellite genotyping of hyacinth macaw (Anodorhynchus hyacinthinus)

Overview of attention for article published in Genetics and Molecular Biology, January 2013
Altmetric Badge

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
59 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Non-invasive genetic sampling for molecular sexing and microsatellite genotyping of hyacinth macaw (Anodorhynchus hyacinthinus)
Published in
Genetics and Molecular Biology, January 2013
DOI 10.1590/s1415-47572013005000001
Pubmed ID
Authors

Flavia T. Presti, Janaína Meyer, Paulo T.Z. Antas, Neiva M.R. Guedes, Cristina Y. Miyaki

Abstract

Molted feather sampling is a useful tool for genetic analyses of endangered species, but it is often very laborious due to the low quality and quantity of the DNA obtained. In the present study we show the parts of feathers that resulted in better yield of DNA. In descending order these were: blood clot outside the umbilicus, umbilicus (without blood clot), tip, inner membrane, and small calamus. Compared to DNA extracted from blood samples, DNA extracted from feathers produced microsatellite alleles of poorer quality and had to be processed immediately after extraction. As expected due to the level of DNA degradation, molecular sexing protocols that result in shorter PCR products were more efficient.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Australia 1 2%
Brazil 1 2%
Unknown 56 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 27%
Student > Ph. D. Student 9 15%
Researcher 8 14%
Student > Bachelor 7 12%
Professor 4 7%
Other 9 15%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 56%
Environmental Science 6 10%
Biochemistry, Genetics and Molecular Biology 5 8%
Veterinary Science and Veterinary Medicine 4 7%
Psychology 2 3%
Other 2 3%
Unknown 7 12%