Article Sidebar

Download
pdf
Statistic
Read Counter : 0 Download : 0

Downloads

Download data is not yet available.

Main Article Content

Abstract

Diiti cattle or Gorontalo local cattle were cattle that have the same exterior characteristics like Bali and PO cattle. To provide information regarding the unknown state of Diiti cattle, allele diversity was evaluated using ILSTS017, HEL13 and BM1818 microsatellite loci. A total of 117 Diti cattle from Gorontalo, Bonebolango and North Gorontalo were used in this study. Allele diversity analysis was generated using Cervus 3.0.7 version. All microsatellite loci were found to be highly polymorphic in the population. A total of 26 alleles were observed, which ranged from 6 in HEL13 and to 11 in ILSTS017. The mean of total alleles was found 6.667. The expected heterozygosity and observed heterozygosity values were 0.686, 0.610, 0.818 and 0.512, 0.351, 0.721 in ILSTS017, HEL13 and BM1818, respectively. Polymorphism Information Content (PIC) values were 0.540 for HEL13, 0.645 for ILSTS017 and 0.791 for BM1818. The result of this study would be used as basic information for development of unknown state of Diiti cattle as Gorontalo valuable genetic resources.

Keywords

Diiti cattle Microsatellite Allele diversity Heterozygosity Polymorphic

Article Details

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Submission of a manuscript implies that the work described has not been published before or is under consideration for publication elsewhere (except in the form of an abstract). When the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.

How to Cite
Dako, S., Nibras Karnain Laya, Syahruddin Syahruddin, Ari Ardiantoro, Desinta Wulandari, & Suyadi suyadi. (2025). Allele Diversity of Diiti Cattle Using Microsatellite Loci. ANIMAL PRODUCTION, 27(2), 1-8. https://doi.org/10.20884/1.jap.2025.27.2.237
Crossref
Scopus
Google Scholar
Europe PMC

References

  1. Abramovs N, A Brass, and M Tassabehji. 2020. Hardy-Weinberg equilibrium in the large scale genomic sequencing era. Frontiers in genetics, 11, 210.
  2. Agung PP, F Saputra, MSA Zein, AS Wulandari, WPB Putra, S Said and J Jakaria. 2018. Genetic diversity of Indonesian cattle breeds based on microsatellite markers. Asian-Australasian Journal of Animal Sciences. 32(4):467.
  3. Barczak E, A Wolc, J Wójtowski, P Slosarz and T Szwaczkowski. 2009. Inbreeding and inbreeding depression on body weight in sheep. J Anim Feed Sci. 18(1):42-50.
  4. Botstein D, RL White, M Skolnick and RW Davis. 1980. Construction of a genetic linkage map in man using restriction fragment length polymorphisms. American Journal of Human Genetics. 32(3):314.
  5. Chapuis MP and A Estoup. 2007. Microsatellite null alleles and estimation of population differentiation. Molecular Biology and Evolution. 24(3):621-631.
  6. Coelho NHP, EV Tambarussi, BI Aguiar, RH Roque, RM Portela, RC Braga and FB Gandara. 2018. Understanding genetic diversity, spatial genetic structure, and mating system through microsatellite markers for the conservation and sustainable use of Acrocomia aculeata (Jacq.) Lodd. Ex Mart. Conservation Genetics. 19:879-891.
  7. Crooks L, Ö Carlborg, S Marklund and AM Johansson. 2013. Identification of null alleles and deletions from SNP genotypes for an intercross between domestic and wild chickens. G3: Genes, Genomes, Genetics. 3(8):1253-1260.
  8. Dakin EE and JC Avise. 2004. Microsatellite null alleles in parentage analysis. Heredity. 93(5):504-509.
  9. Dako S, NK Laya, SI Gubali, A Ardiantoro, VMA Nurgiartiningsih, G Ciptadi, D Wulandari and S Suyadi. 2023. Genetic diversity of Gorontalo local cattle based on microsatellite DNA. Advances in Animal and Veterinary Sciences. 11(4):544-551.
  10. Dako S, N Laya, S Fathan, S Gubali, F Datau, S Syahruddin and SY Pateda. 2024. Phenotype Characteristics of Diiti Cattle in the Coastal Region of Tomini Bay-Gorontalo, Indonesia. Yuzuncu Yıl University Journal of Agricultural Sciences. 34(1):106-114.
  11. El-Sayed MA, A Al-Soudy and DF Teleb. 2016. Assessment of genetic diversity among two Egyptian cattle populations (Bos taurus) based on autosomal microsatellite markers. Egyptian Journal of Animal Production. 53(2):65-73.
  12. Gupta JP, B Bhushan, M Panigrahi, S Ranjan, VN Asaf, A Kumar and D Sharma. 2016. Study on genetic variation of short tandem repeats (STR) markers and their association with somatic cell scores (SCS) in crossbred cows. Indian Journal of Animal Research. 50(4):450-454.
  13. Heryani LGSS, IN Wandia, IW Suarna, IK Puja, NNW Susari and KK Agustina. 2019. Molecular characteristic of taro white cattle based on DNA microsatellite markers. Biodiversitas Journal of Biological Diversity. 20(3):671-675.
  14. Ilie DE, A Cean, LT Cziszter, D Gavojdian, A Ivan and S Kusza. 2015. Microsatellite and mitochondrial DNA study of native eastern European cattle populations: the case of the Romanian Grey. PLoS One. 10(9):e0138736.
  15. Kanaka KK, N Sukhija, RC Goli, S Singh, I Ganguly, SP Dixit and AA Malik. 2023. On the concepts and measures of diversity in the genomics era. Current Plant Biology. 33:100278.
  16. Kostro-Ambroziak A, A Siekiera, M Czajkowska, JJ Pomorski and H Panagiotopoulou. 2020. Development of microsatellite loci and optimization of a multiplex assay for Latibulus argiolus (Hymenoptera: Ichneumonidae), the specialized parasitoid of paper wasps. Scientific Reports. 10(1):16068.
  17. Laya NK, MA Arifin, S Fathan, F Datau, SI Gubali and S Dako. 2024. Characteristics of Male Bali Cattle in Toili District. Jambura Journal of Animal Science. 6(2):145-151.
  18. Manlik O, D Chabanne, C Daniel, L Bejder, SJ Allen and WB Sherwin. 2019. Demography and genetics suggest reversal of dolphin source‐sink dynamics, with implications for conservation. Marine Mammal Science. 35(3):732-759.
  19. Mukherjee S, A Mukherjee, S Kumar, H Verma, S Bhardwaj, O Togla and C Rajkhowa. 2022. Genetic Characterization of Endangered Indian Mithun (Bos frontalis), Indian Bison/Wild Gaur (Bos gaurus) and Tho-tho cattle (Bos indicus) populations using SSR markers reveals their diversity and unique phylogenetic status. Diversity. 14(7):548.
  20. Neamatzadeh H, SA Dastgheib, M Mazaheri, A Masoudi, A Shiri, A Omidi and AM Jarrahi. 2024. Hardy-Weinberg Equilibrium in Meta-Analysis Studies and Large-Scale Genomic Sequencing Era. Asian Pacific Journal of Cancer Prevention. 25(7):2229.
  21. Nguyen TT, S Genini, LC Bui, P Voegeli, G Stranzinger, JP Renard and BX Nguyen. 2007. Genomic conservation of cattle microsatellite loci in wild gaur (Bos gaurus) and current genetic status of this species in Vietnam. BMC Genetics. 8:1-8.
  22. Nowicki P, K Deoniziak, I Dziekańska, A Kostro-Ambroziak, E Plazio, R Rutkowski and M Sielezniew. 2019. What keeps ‘living dead’ alive: demography of a small and isolated population of Maculinea (= Phengaris) alcon. Journal of Insect Conservation. 23:201-210.
  23. Pan G and J Yang. 2010. Analysis of microsatellite DNA markers reveals no genetic differentiation between wild and hatchery populations of Pacific threadfin in Hawaii. International Journal of Biological Sciences. 6(7):827.
  24. Rahal O, C Aissaoui, N Ata, O Yilmaz, I Cemal, A Ameur Ameur and SBS Gaouar. 2021. Genetic characterization of four Algerian cattle breeds using microsatellite markers. Animal Biotechnology. 32(6):699-707.
  25. Saputra F, J Jakaria, A Anggraeni and C Sumantri. 2020. Genetic diversity of Indonesian swamp buffalo based on microsatellite markers. Tropical Animal Science Journal. 43(3):191-196.
  26. Selkoe KA and RJ Toonen. 2006. Microsatellites for ecologists: a practical guide to using and evaluating microsatellite markers. Ecology Letters. 9(5):615-629.
  27. Seo JH, JH Lee and HS Kong. 2017. Assessment of genetic diversity and phylogenetic relationships of Korean native chicken breeds using microsatellite markers. Asian-Australasian Journal of Animal Sciences. 30(10):1365.
  28. Shatalina OS, IV Tkachenko and AA Yaryshkin. 2021. Genetic structure of the population of Holstein Black-and-White cattle by microsatellite loci. Russian Journal of Genetics. 57:196-203.
  29. Shete S, H Tiwari and RC Elston. 2000. On estimating the heterozygosity and polymorphism information content value. Theoretical Population Biology. 57(3):265-271.
  30. Stevanov-Pavlović M, V Dimitrijević, S Marić, D Radović, J Stevanović and Z Stanimirović. 2015. Applicability assessment of a standardized microsatellite marker set in endangered Busha cattle.
  31. Sun W, H Chen, C Lei, X Lei and Y Zhang. 2008. Genetic variation in eight Chinese cattle breeds based on the analysis of microsatellite markers. Genetics Selection Evolution. 40:1-12.
  32. Susilorini TE, D Wulandari, A Furqon, WA Septian, F Saputra and S Suyadi. 2022. Genetic diversity of various goat breeds in East Java based on DNA microsatellite markers. Tropical Animal Science Journal. 45(3):247-254.
  33. Symonds VV and AM Lloyd. 2003. An analysis of microsatellite loci in Arabidopsis thaliana: mutational dynamics and application. Genetics. 165(3):1475-1488.
  34. Takezaki N and M Nei. 1996. Genetic distances and reconstruction of phylogenetic trees from microsatellite DNA. Genetics. 144(1):389-399.

DB Error: Unknown column 'Array' in 'WHERE'