Identification of Bactrian camel cell lines using genetic markers
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Iranian Bactrian camel population is less than 100 animals. Iranian biological resource center produced more than 50 Bactrian camel fibroblast cell lines as a somatic cell bank for conservation animal genetic resources. We compared two type markers performance, including 14 random amplified polymorphic DNA (RAPDs) (dominant) and eight microsatellite (co-dominant) for cell line identification, individual identification and investigation genetic structure of these samples. Based on clarity, polymorphism, and repeatability, four RAPD primers were selected for future analysis. Four RAPD primers and eight microsatellite markers have generated a total of 21 fragments and 45 alleles, respectively. RAPD primers revealed fragment size between 150 to 2000 bp and gene diversity since 0.27 (IBRD) to 0.46 (GC10), with an average of 0.37. Microsatellite markers generated number of alleles per locus ranged from 3 to 11, with an average of 5.62 alleles. The observed heterozygosity ranged from 0.359 (IBRC02) to 0.978 (YWLL08), and expected heterozygosity ranged from 0.449 (IBRC02) to 0.879 (YWLL08). Bottleneck analysis and curve showed that Bactrian camel population did not experience a low diversity. RAPD profiles were especially suitable for investigation population genetics. All primers generated novel and polymorphic fragments. Briefly, our results show that a multiplex PCR based on these markers can still be valuable and suitable for authentication of cell lines, investigating gene diversity and conservation genetic resources in Bactrian camel, while new technologies are continuously developed.
KeywordsBactrian camel Identification cell line RAPD Microsatellite
The authors express their gratitude to Parvaneh Farzaneh for providing technical advice and access to required equipment and all colleagues in Human and Animal cell bank.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Amoli AD, Aminafshar M, Fazeli SS, Emam N, Kashan J, Khaledi KJ (2017a) Isolation and characterization of microsatellite markers from endangered species (Camelus bactrianus). Iran J Appl Anim Sci 7(4):693–698Google Scholar
- Amoli AD, Mohebali N, Farzaneh P, Fazeli SAS, Nikfarjam L, Movasagh SA, Moradmand Z, Ganjibakhsh M, Nasimian A, Izadpanah M (2017b) Establishment and characterization of Caspian horse fibroblast cell bank in Iran. In Vitro Cell Dev Biol Anim 53(4):337–343. https://doi.org/10.1007/s11626-016-0120-3 CrossRefGoogle Scholar
- Easley CA 4th, Phillips BT, McGuire MM, Barringer JM, Valli H, Hermann BP, Simerly CR, Rajkovic A, Miki T, Orwig KE, GP S (2012) Direct differentiation of human pluripotent stem cells into haploid spermatogenic cells. Cell Rep 2(3):440–446. https://doi.org/10.1016/j.celrep.2012.07.015 CrossRefPubMedPubMedCentralGoogle Scholar
- Finger A, Klank C (2010). Review molecular methods: blessing or curse? Relict Species, Springer: 309–320, DOI: https://doi.org/10.1007/978-3-540-92160-8_18
- Freshney RI (2005) Culture of specific cell types. Wiley Online LibraryGoogle Scholar
- Kuz’mina E E (2008) The prehistory of the silk road. University of Pennsylvania PressGoogle Scholar
- Mahrous KF, Ramadan HA, Abdel-Aziem SH, Abd-El Mordy M, Hemdan DM (2011) Genetic variations between camel breeds using microsatellite markers and RAPD techniques. J. Appl. Biosci 39:2626–2634Google Scholar
- Makkar HP, Viljoen GJ (2005) Applications of gene-based technologies for improving animal production and health in developing countries. Springer. doi: https://doi.org/10.1007/b105256
- Mehta S, Mishra B, Sahani M (2006) Genetic differentiation of Indian camel (Camelus dromedarius) breeds using random oligonucleotide primers. Animal Genetic Resources/Resources génétiques animales/Recursos genéticos animales 39(77–88Google Scholar
- Shahkarami S, Afraz F, Sayed MZ, Banabazi M, Asadzadeh N, Asadi N, Hemmati B, Ghanbari A, Razavi K (2012) Genetic diversity in Iranian Bactrian camels (Camelus batrianus) using, microsatellite markers. Mod Genet J 7(330):249–258Google Scholar
- Yeh FC, Yang R-C, Boyle T (1999) POPGENE version 1.31. Microsoft window-based freeware for population genetic analysis. University of Alberta, EdmontonGoogle Scholar