Functional annotation from the genome sequence of the giant panda.
10.1007/s13238-012-2914-8
- Author:
Tong HUO
1
;
Yinjie ZHANG
;
Jianping LIN
Author Information
1. College of Life Sciences, Nankai University, Tianjin, China.
- Publication Type:Journal Article
- MeSH:
Amino Acid Sequence;
Animals;
Chromosome Mapping;
Databases, Protein;
Dogs;
genetics;
Genome;
Horses;
genetics;
Molecular Sequence Data;
Protein Interaction Mapping;
Proteomics;
Sequence Alignment;
Software;
Ursidae;
genetics
- From:
Protein & Cell
2012;3(8):602-608
- CountryChina
- Language:English
-
Abstract:
The giant panda is one of the most critically endangered species due to the fragmentation and loss of its habitat. Studying the functions of proteins in this animal, especially specific trait-related proteins, is therefore necessary to protect the species. In this work, the functions of these proteins were investigated using the genome sequence of the giant panda. Data on 21,001 proteins and their functions were stored in the Giant Panda Protein Database, in which the proteins were divided into two groups: 20,179 proteins whose functions can be predicted by GeneScan formed the known-function group, whereas 822 proteins whose functions cannot be predicted by GeneScan comprised the unknown-function group. For the known-function group, we further classified the proteins by molecular function, biological process, cellular component, and tissue specificity. For the unknown-function group, we developed a strategy in which the proteins were filtered by cross-Blast to identify panda-specific proteins under the assumption that proteins related to the panda-specific traits in the unknown-function group exist. After this filtering procedure, we identified 32 proteins (2 of which are membrane proteins) specific to the giant panda genome as compared against the dog and horse genomes. Based on their amino acid sequences, these 32 proteins were further analyzed by functional classification using SVM-Prot, motif prediction using MyHits, and interacting protein prediction using the Database of Interacting Proteins. Nineteen proteins were predicted to be zinc-binding proteins, thus affecting the activities of nucleic acids. The 32 panda-specific proteins will be further investigated by structural and functional analysis.
