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A Method to Rapidly Identify to What Species Unknown Animals are Closely Related |
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Hongwei Li,
Chunjiang Zhao,
Haiyue Xu,
Bo Yu and Changxin Wu |
Abstract:
Classic taxonomy of animal mainly depends on genetic, morphology, fossil and distribution studies, so the study aims at developing a method which can rapidly identify to what species unknown animals are closely related by comparison of genomic sequences. With more complete sequenced animal genomes available, genomic information will play a key role on classifying unknown animals. Here, we put forward a method how to rapidly identify unknown animals. The method includes: (1) selecting a vector which is convenient for cloning and sequencing; (2) digesting the total genomic DNA from unknown animals and the vector with the same two enzymes which have recognition sites on the vector; (3) ligating the digested DNA to the vector; (4) transforming the ligation products to competent cell; (5) selecting positive clones to sequence and blast with sequenced animal genomes; (6) then finding out the most close relative species to the unknown animals. In the paper we took a kind of unknown wild flies which captured in nature, for example, to display the method. By analysis of data from blast output, results showed that eleven query sequences (1, 2, 4, 5, 6, 7, 9, 10, 12, 13, 14) from unknown flies have the highest similarities with subject sequences on the D. ananassae genome, but only minor parts of No. 2, 4~7, 9, 10 and 12 sequences have similarities with subject sequences on eleven drosophila genomes and the unknown flies are the most closely related to D. ananassae in evolutionary contexts. it will be a promising power in rapidly identifying to what species unknown animals is closely related when more complete sequenced animal genomes are available .
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How to cite this article:
Hongwei Li, Chunjiang Zhao, Haiyue Xu, Bo Yu and Changxin Wu, 2011. A Method to Rapidly Identify to What Species Unknown Animals are Closely Related. Asian Journal of Animal and Veterinary Advances, 6: 362-370.
DOI: 10.3923/ajava.2011.362.370
URL: https://scialert.net/abstract/?doi=ajava.2011.362.370
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