An information system on genomic elements and predicted protein structures of buffalo (Bubalus bubalis)


297 / 224

Authors

  • AMIT KAIRI ICAR–Indian Agricultural Statistics Research Institute. New Delhi 110 012 India
  • TANMAYA KUMAR SAHU ICAR–Indian Agricultural Statistics Research Institute. New Delhi 110 012 India
  • ATMAKURI RAMAKRISHNA RAO ICAR–Indian Agricultural Statistics Research Institute. New Delhi 110 012 India

https://doi.org/10.56093/ijans.v90i11.111494

Keywords:

Buffalo genome, Genome browser, Genomic elements, Information system, Protein Structure, Web-interface

Abstract

Among the livestock species, buffalo remained as an integral part of the Indian rural economy. With the advent of genome sequencing technologies, it became possible to sequence the whole genome of Murrah buffalo. Also, significant amount of information on different genomic elements of buffalo is available at National Centre for Biotechnology Information (NCBI). However, the positions of these elements on the genome are not fully known. In addition, the 3D structures of buffalo proteins are not available and also there exist no browser to visualize important genic elements on buffalo genome. Hence, a study was taken up to develop a web-based information system having information on genomic elements, protein 3-D structures and genome browser. Initially, information on nucleotide and protein sequences were retrieved from NCBI and parsed suitably. Later, the protein structures were predicted, validated, refined and stabilized in silico. An Information System on Buffalo Genome (ISBG) with 3-tier architecture was developed containing the sequence and structural information. ISBG contains complete coding sequences (CDS), Mitochondrial DNAs, 1k upstream regions and Untranslated Regions (UTRs) of buffalo genome. The buffalo genes were also mapped onto the genome. The results revealed that maximum number of genes were found distributed on chromosome 4 followed by chromosome 18, which can also be visualized from the developed genome browser. ISBG can be accessed at http://cabgrid.res.in:8080/bgis. The proposed information system helps animal breeders and biotechnologist in animal improvement.

Downloads

Download data is not yet available.

References

Amaral M E, Grant J R, Riggs P K, Stafuzza N B, Rodrigues F E A, Goldammer T, Weikard R, Brunner R M, Kochan K J, Greco A J and Jeong J. 2008. A first generation whole genome RH map of the river buffalo with comparison to domestic cattle. BMC genomics 9(1): 631. DOI: https://doi.org/10.1186/1471-2164-9-631

Arora V, Iquebal M A, Rai A and Kumar D. 2013. In silico mining of putative microsatellite markers from whole genome sequence of water buffalo (Bubalus bubalis) and development of first BuffSatDB. BMC genomics 14(1): 43. DOI: https://doi.org/10.1186/1471-2164-14-43

Bakker P I W, DePristo M A, Burke D F and Blundell T L. 2002. Ab initio construction of polypeptide fragments: Accuracy of loop decoy discrimination by an all-atom statistical potential and the AMBER force field with the Generalized Born solvation model. Proteins: Structures, Functions, and Genetics 51: 21–40. DOI: https://doi.org/10.1002/prot.10235

Bernnett-Lovsey R M, Herbert A D, Sternberg M J E and Kelley L A. 2008. Exploring the extremes of sequence/structure space with ensemble fold recognition in the program Phyre. Proteins 70(3): 611–25. DOI: https://doi.org/10.1002/prot.21688

Cole C, Barber J D and Barton G J. 2008. The Jpred 3 secondary structure prediction server. Nucleic Acids Research 36(Web server issue): W197–W201. DOI: https://doi.org/10.1093/nar/gkn238

Faith J J, Olson A J, Gardner T S and Sachidanandam R. 2007. Lightweight genome viewer: portable software for browsing genomics data in its chromosomal context. BMC Bioinformatics 8: 344. DOI: https://doi.org/10.1186/1471-2105-8-344

Fiser A, Do A K and Sali A. 2000. Modelling of loops in protein structures. Protein Science 9(9): 1753–73. DOI: https://doi.org/10.1110/ps.9.9.1753

Jiang H, Wang F, Dyer N P and Wong W H. 2010. CisGenome Browser: A flexible tool for genomic data visualization. Bioinformatics 26(14): 1781–82. DOI: https://doi.org/10.1093/bioinformatics/btq286

Kelley L A, Mezulis S, Yates C M, Wass M N and Sternberg M J. 2015. The Phyre2 web portal for protein modeling, prediction and analysis. Nature protocols 10(6): 845. DOI: https://doi.org/10.1038/nprot.2015.053

Li W, Bickhart D M, Ramunno L, Iamartino D, Williams J L and Liu G E. 2018. Comparative sequence alignment reveals River Buffalo genomic structural differences compared with cattle. Genomics 111(3): 418–25 DOI: https://doi.org/10.1016/j.ygeno.2018.02.018

Low W Y, Tearle R, Bickhart D M, Rosen B D, Kingan S B, Swale T, Thibaud-Nissen F, Murphy T D, Young R, Lefevre L and Hume D A. 2019. Chromosome-level assembly of the water buffalo genome surpasses human and goat genomes in sequence contiguity. Nature Communications 10: 260. DOI: https://doi.org/10.1038/s41467-018-08260-0

McGuffin L J, Bryson K and Jones D T. 2000. The PSIPRED protein structure prediction server. Bioinformatics 16: 404– 05. DOI: https://doi.org/10.1093/bioinformatics/16.4.404

Mitchell E S, Uzilov A V, Lincoln D S, Christopher J M and Holmes I H. 2009. Jbrowse: A next-generation genome browser. Genome Research 19(9): 1630–38. DOI: https://doi.org/10.1101/gr.094607.109

Nanda A S and Nakao T. 2003. Role of buffalo in the socioeconomic development of rural Asia: Current status and future prospectus. Animal Science Journal 74(6): 443–55. DOI: https://doi.org/10.1046/j.1344-3941.2003.00138.x

Pan X, Stein D L and Brendel V. 2005. SynBrowse: A synteny browser for comparative sequence analysis. Bioinformatics 21: 3461–68. DOI: https://doi.org/10.1093/bioinformatics/bti555

Pollastri G, Przybylski D, Rost B and Baldi P. 2002. Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles. Proteins 47: 228–35. DOI: https://doi.org/10.1002/prot.10082

Stein L D, Mungall C, Shu S, Caudy M, Mangone M, Day A, Nickerson E, Stajich J E, Harris T W, Arva A and Lewis S. 2002. The generic genome browser: A building block for a model organism system database. Genome Research 12(10): 1599–1610. DOI: https://doi.org/10.1101/gr.403602

Tantia M S, Vijh R K, Bhasin V and Sikka P. 2011. Whole-genome sequence assembly of water buffalo (Bubalus bubalis). Indian Journal of Animal Sciences 81: 38–46.

Ward J J, McGuffin L J, Bryson K, Buxton B F and Jones D T. 2004. The DISOPRED server for the prediction of protein disorder. Bioinformatics 20: 2138–39. DOI: https://doi.org/10.1093/bioinformatics/bth195

Williams J L, Iamartino D, Pruitt K D, Sonstegard T, Smith T P, Low W Y and Coletta A. 2017. Genome assembly and transcriptome resource for river buffalo, Bubalus bubalis (2 n= 50). GigaScience 6(10): gix088. DOI: https://doi.org/10.1093/gigascience/gix088

Young R, Lefevre L, Bush S J, Joshi A, Singh S H, Jadhav S K, Lisowski Z M, Iamartino D, Summers K M, Williams J L and Archibald A L. 2019. A gene expression atlas of the domestic water buffalo (Bubalus bubalis). Frontiers in Genetics 10: 668. DOI: https://doi.org/10.3389/fgene.2019.00668

Downloads

Submitted

2021-04-06

Published

2021-04-07

Issue

Section

Articles

How to Cite

KAIRI, A., SAHU, T. K., & RAO, A. R. (2021). An information system on genomic elements and predicted protein structures of buffalo (Bubalus bubalis). The Indian Journal of Animal Sciences, 90(11), 1479-1484. https://doi.org/10.56093/ijans.v90i11.111494
Citation