Articles | Volume 68, issue 2
https://doi.org/10.5194/aab-68-409-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/aab-68-409-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Genetic diversity and population structure of the indigenous goat population in Tunisia's northwest
Ikram BenSouf
CORRESPONDING AUTHOR
Laboratory of Animal, Genetic and Feed Resources (LRGAA), National Agronomic Institute of Tunisia, University of Carthage, 43 Avenue Charles Nicolle, Tunis, 1082, Tunisia
Ines Dhib
Département des sols et de génie agroalimentaire, Faculté des sciences de l'agriculture et de l'alimentation, Université Laval. 2425, rue de l'Agriculture, Québec, QC, G1V 0A6, Canada
Safa Bejaoui
Research Unit of Biodiversity and Resource Development in Mountain Areas of Tunisia, UR17AGR14, Higher School of Agriculture of Mateur, Carthage University, Tunis, Tunisia
Hatem Ouled Ahmed
Animal Production and Health Laboratory, Joint FAO/IAEA Centre for Nuclear Applications in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Friedenstrasse 1, 2444 Seibersdorf, Austria
Hichem Khemiri
North West Sylvo-pastoral Development Office, Avenue de l'Environnement, 9000, Béja, Tunisia
Naceur M'Hamdi
Laboratory of Animal, Genetic and Feed Resources (LRGAA), National Agronomic Institute of Tunisia, University of Carthage, 43 Avenue Charles Nicolle, Tunis, 1082, Tunisia
Related authors
No articles found.
Safa Bejaoui, Nour Elhouda Fehri, Mohamed Amine Ferchichi, and Bayrem Jemmali
Arch. Anim. Breed., 67, 515–521, https://doi.org/10.5194/aab-67-515-2024, https://doi.org/10.5194/aab-67-515-2024, 2024
Short summary
Short summary
Genetic variation in the SLC11A1 (C>G) and CARD15 (A/G) genes may contribute to the onset and development of bovine tuberculosis (bTB), supporting the hypothesis that polymorphisms in these genes are associated with the risk of bTB in Holstein cattle. bTB is a complicated disease that is probably influenced by polymorphisms in many genes, particularly those related to the immune system and host–pathogen interactions.
Bayrem Jemmali, Mohamed Mezir Haddad, Nawel Barhoumi, Syrine Tounsi, Faten Lasfer, Amira Trabelsi, Belgacem Ben Aoun, Imen Gritli, Soufiene Ezzar, Abdelhak Ben Younes, Mohamed Habib Ezzaouia, Boulbaba Rekik, and Hatem Ouled Ahmed
Arch. Anim. Breed., 60, 153–160, https://doi.org/10.5194/aab-60-153-2017, https://doi.org/10.5194/aab-60-153-2017, 2017
Short summary
Short summary
This study aimed at screening genetic diversity and differentiation in four horse breeds raised in Tunisia: the Barb (BA), Arab-Barb (AB), Arabian (AR), and English Thoroughbred (TS) breeds. A total of 200 blood samples were collected and genomic DNA was extracted. The average number of alleles per locus was 7.52 (0.49), 7.35 (0.54), 6.3 (0.44), and 6 (0.38) for the AB, BA, AR, and TS, respectively. Results showed that the important amount of genetic variation was within population.
Related subject area
Quantitative genetics
Genomic prediction in a backcross population using relationship matrices
Prediction of internal egg quality traits of Potchefstroom Koekoek and Lohmann Brown layers using classification and regression tree method
The association of RNF34 and RNF128 with carcass and meat quality traits of Chinese Simmental-cross steers
Genome-wide genetic characterization and selection signatures in Anatolian Merino sheep
Genetic trends in body measurements at birth for Arabian horse in Türkiye
The impact of LEP gene polymorphisms located at exon 2 (LEP-HinfI) and intron 2 (LEP-Sau3AI) on growth and reproductive traits in Saanen goats
Fatty acid profiles unveiled: gene expression in Yanbian yellow cattle adipose tissues offers new insights into lipid metabolism
A comprehensive analysis of the effects of DGAT1 K232A polymorphism on milk production and fertility traits in Holstein Friesian and Jersey cows reared in Türkiye
Genome-wide association study for polledness, horn shape, and wool traits in Original Valachian sheep
Microsatellite-based bottleneck analysis and migration events among four native Turkish goat breeds
Crossbreeding parameters for body weight data from a complete diallel mating scheme using three breeds of rabbit
Crossbreeding experiment on Indonesian local rabbits: the heterosis effect on growth performance
Associations of bovine beta-casein and kappa-casein genotypes with genomic merit in Holstein Friesian cattle
Genome-wide single nucleotide polymorphism (SNP) data reveal potential candidate genes for litter traits in a Yorkshire pig population
Inheritance of body size and ultrasound carcass traits in yearling Anatolian buffalo calves
Genetic-parameter estimation of milk yield in White Maritza sheep breed using different test day models
Assessment of genetic diversity among native Algerian rabbit populations using microsatellite markers
Genetic diversity and population structure of indigenous guinea fowl (Numida meleagris) in Benin using simple sequence repeat markers
The trend of breeding value research in animal science: bibliometric analysis
Abdulraheem A. Musa, Jan Klosa, Manfred Mayer, and Norbert Reinsch
Arch. Anim. Breed., 68, 377–394, https://doi.org/10.5194/aab-68-377-2025, https://doi.org/10.5194/aab-68-377-2025, 2025
Short summary
Short summary
In response to the urgent need for enhancing food security amidst a rapidly growing global population, our study develops new models to improve breeding programs for plants and animals. Traditional models often fall short in capturing the full genetic complexity. However, our three new models demonstrate improved performance by better predicting breeding values, thus supporting more effective breeding strategies and contributing to global food security.
Victoria Rankotsane Hlokoe, Thobela Louis Tyasi, and Vusi Gordon Mbazima
Arch. Anim. Breed., 68, 365–376, https://doi.org/10.5194/aab-68-365-2025, https://doi.org/10.5194/aab-68-365-2025, 2025
Short summary
Short summary
The classification and regression tree (CART) method produced good models for predicting albumen weight, with R2 values of 0.94 and 0.96, and yolk weight, with R2 values of 0.93 and 0.92, in Potchefstroom Koekoek and Lohmann Brown layers, respectively. This study suggests that a CART data mining algorithm might assist in determining the breed standards of Lohmann Brown and Potchefstroom Koekoek chicken breeds.
Jun-Zheng Zhang, Azher Nawaz, Si-Han Wang, Quan Tian, Chun-Yin Geng, Ying Hai-Jin, and Shuang Ji
Arch. Anim. Breed., 68, 299–310, https://doi.org/10.5194/aab-68-299-2025, https://doi.org/10.5194/aab-68-299-2025, 2025
Short summary
Short summary
We investigate the association between single-nucleotide polymorphisms of RING finger protein 34 (RNF34) and RING finger protein 128 (RNF128) with carcass and meat quality traits. Statistical analysis showed that RNF34 (3′ UTR-588 G>A) and RNF128 (I1-2380C>T) are significantly associated with testis weight, kidney weight, tare weight, dressed weight, forepaw weight, carcass depth, carcass brisket depth, and hind leg length (P<0.05), influencing meat yield and quality.
Taki Karsli
Arch. Anim. Breed., 68, 161–169, https://doi.org/10.5194/aab-68-161-2025, https://doi.org/10.5194/aab-68-161-2025, 2025
Short summary
Short summary
Genetic variability and selection signatures were analyzed in Anatolian Merino via 351.539 bi-allelic single nucleotide polymorphisms. Adequate genetic diversity with a low inbreeding coefficient was detected. Effective population size, however, showed a declining trend through generations. Selection signals were observed in 37 and 72 protein-coding genes via two statistical approaches; a large part of them were associated with milk traits and udder morphology.
Özlem Hacan, Mustafa Tekerli, Samet Çinkaya, and Mustafa Demirtaş
Arch. Anim. Breed., 67, 561–570, https://doi.org/10.5194/aab-67-561-2024, https://doi.org/10.5194/aab-67-561-2024, 2024
Short summary
Short summary
This study examined genetic changes in body measurements at birth in Turkish Arabian foals born between 1987 and 2007. Significant factors influencing body size traits were identified. Additive genetic and maternal heritabilities varied, highlighting their impacts on foal traits. Results suggest the potential for selective breeding to enhance these traits over time, aiding future breeding strategies in Turkish Arabian horses.
Nursen Senturk, Tugce Necla Selvi, Mustafa Demir, Hakan Ustuner, Hale Samli, and Sena Ardicli
Arch. Anim. Breed., 67, 523–531, https://doi.org/10.5194/aab-67-523-2024, https://doi.org/10.5194/aab-67-523-2024, 2024
Short summary
Short summary
The LEP gene has been extensively studied in cattle, but research on goats is limited, often overlooking vital parameters like reproduction and growth. We investigate the relationship between LEP gene polymorphisms and growth or reproductive traits in Saanen goats. Notably, the LEP-Sau3AI SNP exhibited associations with birth weight and average daily weight gain. This pioneering study is the first to explore these traits alongside selected LEP variants in Saanen goats.
Azher Nawaz, Junzheng Zhang, Ying Meng, Lefan Sun, Haiyang Zhou, Chunyin Geng, Haixing Liu, Yinghai Jin, and Shuang Ji
Arch. Anim. Breed., 67, 469–480, https://doi.org/10.5194/aab-67-469-2024, https://doi.org/10.5194/aab-67-469-2024, 2024
Short summary
Short summary
This study on Yanbian yellow cattle, known for their quality meat, examined fat from various body regions to understand differences in fat content and gene activity. We found 16 different fats in abdominal tissue, with unique fats in subcutaneous and other tissues. Kidney fat cells were larger than those in other areas. Gene activity varied significantly, with different genes being the most active in various tissues.
Sena Ardicli, Ozden Cobanoglu, Ertugrul Kul, Samet Hasan Abaci, Eser Kemal Gurcan, and Soner Cankaya
Arch. Anim. Breed., 67, 455–467, https://doi.org/10.5194/aab-67-455-2024, https://doi.org/10.5194/aab-67-455-2024, 2024
Short summary
Short summary
DGAT1 influences milk yield and quality. Prior studies had limitations: small sample sizes, no environmental effects, and poor lactation records. Our study of 1104 Holstein Friesian and Jersey cows used polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP) and Sanger sequencing for genotyping. We evaluate genotypic and allelic frequencies, population genetics, and phenotypic effects. Our findings offer more reliable interpretations at both phenotypic and genotypic levels.
Mária Mészárosová, Gábor Mészáros, Nina Moravčíková, Ivan Pavlík, Milan Margetín, and Radovan Kasarda
Arch. Anim. Breed., 67, 373–381, https://doi.org/10.5194/aab-67-373-2024, https://doi.org/10.5194/aab-67-373-2024, 2024
Short summary
Short summary
The Original Valachian sheep is a Slovak national breed and is well adapted to living in high-altitude pastures. The breed is currently endangered, and there is a lot of interest from breeders in understanding its characteristics, particularly with regards to horn and wool traits. We found specific genes associated with these traits, which can be very important for breeders who are working to preserve this endangered breed.
Eymen Demir
Arch. Anim. Breed., 67, 353–360, https://doi.org/10.5194/aab-67-353-2024, https://doi.org/10.5194/aab-67-353-2024, 2024
Short summary
Short summary
In this study, genetic bottleneck and migration events among Hair, Honamlı, Kabakulak, and Norduz populations were assessed using 28 highly polymorphic microsatellite loci. No evidence of a genetic bottleneck was detected in Anatolian goats using both quantitative and qualitative approaches. No migration to Norduz was observed, indicating that this breed has become genetically distinct due to geographic isolation. These results may serve to carry out better management practices.
Ahmed M. Abdel-Ghany, Salah A. El-Mansy, Dalal S. Alshaya, Nora M. Al Aboud, and Mahmoud G. Gharib
Arch. Anim. Breed., 67, 335–342, https://doi.org/10.5194/aab-67-335-2024, https://doi.org/10.5194/aab-67-335-2024, 2024
Short summary
Short summary
The objective of this study was to evaluate heterosis, general combining ability (GCA), maternal ability (MA), and sex-linked effects (SL) for growth performance from weaning (4 weeks) up to marketing age (12 weeks) , using a complete 3 x 3 diallel crossing experiment in three different breeds of rabbits: one native Egyptian breed (Baladi Red, RR) and two exotic (Bauscat, BB, and Californian, CC).
Asep Setiaji, Dela Ayu Lestari, Nuruliarizki Shinta Pandupuspitasari, Ikania Agusetyaningsih, Sutopo Sutopo, and Edy Kurnianto
Arch. Anim. Breed., 67, 231–236, https://doi.org/10.5194/aab-67-231-2024, https://doi.org/10.5194/aab-67-231-2024, 2024
Short summary
Short summary
This study examines the crossbreeding of Indonesian local rabbits with imported breeds, highlighting the heterosis effects. Crossbred rabbits, especially Rex descendants, show notable growth benefits. Based on the results, we advocate for strategic crossbreeding to enhance rabbit growth and offer insights into sustainable rabbit production.
Sena Ardicli, Özgür Aldevir, Emrah Aksu, Kerem Kucuk, and Ahmet Gümen
Arch. Anim. Breed., 67, 61–71, https://doi.org/10.5194/aab-67-61-2024, https://doi.org/10.5194/aab-67-61-2024, 2024
Short summary
Short summary
Genetic selection based on bovine casein variants, especially for A2 milk, is a scorching topic in animal breeding and genetics. Our study assessed the genotypic/allelic frequencies, population genetics, diversity parameters, and relationship between genotypes and breeding values with respect to two casein genes, CSN2 and CSN3 in Holstein Friesian cows. The present results are critical for evaluating the genetic merit of cows in commercial dairy cattle breeding.
Yu Zhang, Jinhua Lai, Xiaoyi Wang, Mingli Li, Yanlin Zhang, Chunlv Ji, Qiang Chen, and Shaoxiong Lu
Arch. Anim. Breed., 66, 357–368, https://doi.org/10.5194/aab-66-357-2023, https://doi.org/10.5194/aab-66-357-2023, 2023
Short summary
Short summary
Litter traits are key indicators of the reproductive productivity of sows. In the present study, four litter traits (total number born, number born alive, piglets born dead, and litter weight born alive) were explored. Several candidate genes were identified by a genome-wide association study and selective sweep analysis. These findings provide novel insights into the genetic basis of pig litter traits and will be helpful for improving molecular breeding in pigs.
Samet Çinkaya and Mustafa Tekerli
Arch. Anim. Breed., 66, 325–333, https://doi.org/10.5194/aab-66-325-2023, https://doi.org/10.5194/aab-66-325-2023, 2023
Short summary
Short summary
This study was carried out to estimate variance components using a univariate animal model accounting for maternal effect by the restricted maximum likelihood (REML) method. Some environmental factors affecting body measurements and ultrasound carcass traits in yearling Anatolian buffalo calves were highlighted for the successful selection program. Genetic and phenotypic correlations and selection responses were also revealed in this study.
Petya Zhelyazkova, Doytcho Dimov, and Sreten Andonov
Arch. Anim. Breed., 66, 253–263, https://doi.org/10.5194/aab-66-253-2023, https://doi.org/10.5194/aab-66-253-2023, 2023
Short summary
Short summary
The aims of this study were to estimate the genetic parameters of test day milk yield in the population of the White Maritza sheep breed and to choose the most appropriate linear models for genetic-parameter estimation of test day milk yield. Nine test day models were formulated and tested for the estimation of genetic parameters of milk yield. To compare the linear models described above, Akaike information criterion, Bayesian information criterion and log-likelihood were calculated.
Abdelbaki Bouhali, Abdelkader Homrani, Nuno Ferrand, Susana Lopes, and Ahmed Mostafa Emam
Arch. Anim. Breed., 66, 207–215, https://doi.org/10.5194/aab-66-207-2023, https://doi.org/10.5194/aab-66-207-2023, 2023
Short summary
Short summary
The current study aims to investigate the genetic diversity of native Algerian rabbit populations at 25 different geographic locations belonging to 7 regions using 85 microsatellite markers. According to the discovered results, high diversity was recorded in the south. In addition, the results noticed a high degree of geographical distribution (east, west, middle, and south). Generally, the current study records a high internal-breeding factor, although the samples were collected randomly.
Boko Michel Orounladji, Venant Houndonougbo, Mahugnon Santoze Adido, Aïcha Edith Soara, Blaise Arnaud Hako Touko, Christophe A. A. M. Chrysostome, and Koffi Tozo
Arch. Anim. Breed., 66, 183–195, https://doi.org/10.5194/aab-66-183-2023, https://doi.org/10.5194/aab-66-183-2023, 2023
Short summary
Short summary
This paper reports on the genetic diversity parameters of 12 Beninese indigenous guinea fowl phenotypes distributed in three climatic zones. More information has been provided through the results on genetic conservation and adaptability of the phenotypes to the local environment under climate change's continuous impact.
Fatma Yardibi, Chaomei Chen, Mehmet Ziya Fırat, Burak Karacaören, and Esra Süzen
Arch. Anim. Breed., 66, 163–181, https://doi.org/10.5194/aab-66-163-2023, https://doi.org/10.5194/aab-66-163-2023, 2023
Short summary
Short summary
This study is a bibliometric study of animal breeding value. Bibliometric analysis is the widely accepted method for assessing the merits of a specific field. This study provides an excellent guide for further studies by revealing general development trends, hot topics, and research boundaries over the past 20 years. It is possible to say that future studies will focus on innovative issues that may have limited environmental impacts while reducing costs and accelerating livestock productivity.
Cited articles
Ajmone-Marsan, P., Garcia, J. F., and Lenstra, J. A.: Genetic diversity and the goals of management, in: Proceedings of the 52nd Annual Meeting of the European Association for Animal Production, edited by: Gosliga, C. and van Arendonk, T., Wageningen Academic Publishers, 26–29 August 2001, 2001.
Al-Atiyat, R. M.: Genetic diversity analyses of tropical goats from some countries of Middle East, Genet. Mol. Res., 16, gmr16039701, https://doi.org/10.4238/gmr16039701, 2017.
Aljumaah, R. S., Alobre, M. M., and Al-Atiyat, R. M.: Use of microsatellite markers to assign goats to their breeds, Genet. Mol. Res., 14, 9071–9080, 2015.
Allendorf, F. W., Luikart, G., and Aitken, S. N.: Conservation and the genetics of populations, Mammalia, 2007, 189–197, 2007.
Aloui, A.: Valorisation des ressources caprines dans la région de Médenine, Biotechnologie animale, Institut National Agronomique de Tunisie, 74 pp., 2019.
Araújo, A., Guimarães, S. E., Pereira, C., Lopes, P., and Rodrigues, M.: Paternity in Brazilian goats through the use of DNA microsatellites, Rev. Bras. Zool., 39, https://doi.org/10.1590/S1516-35982010000500010, 2010.
Belkhir, K., Borsa, P., Chikhi, L., Raufaste, N., and Bonhomme, F.: Genetix 4.02, logiciel sous Windows TM pour la génétique des populations, Laboratoire Génome, Populations, Interactions, CNRS UMR 5000, Université de Montpellier II, Montpellier, France, 2001.
Ben Salem, H., Lassoued, N., and Rekik, M.: Traditional goat farming systems and breeding practices in Tunisia: Opportunities for genetic improvement, Livest. Sci., 210, 116–123, 2018.
Bijlsma, R. and Loeschcke, V.: Genetic erosion impedes adaptive responses to stressful environments, Evol. Appl., 5, 117–129, 2012.
Canon, J., Garcia, D., Garcia-Atance, M. A., Obexer-Ruff, G., Lenstra, J. A., Ajmone-Marsan, P., and Dunner, S.: Geographical partitioning of goat diversity in Europe and the Middle East, Anim. Genet., 37, 327–334, 2006.
Colli, L., Milanesi, M., Talenti, A., Bertolini, F., Chen, M., Crisà, A., Daly, K. G., Del Corvo, M., Guldbrandtsen, B., Lenstra, J. A., Rosen, B. D., Vajana, E., Catillo, G., Joost, S., Nicolazzi, E. L., Rochat, E., Rothschild, M. F., Servin, B., Sonstegard, T. S., Steri, R., Van Tassell, C. P., Ajmone-Marsan, P., Crepaldi, P., Stella, A., and AdaptMap Consortium: Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes, Genet. Sel. Evol., 50, 58, https://doi.org/10.1186/s12711-018-0422-x, 2018.
Devendra, C. and Burns, M.: Goat Production in the Tropics, Commonwealth Agricultural Bureaux, Farnham, Royal, England, 1983.
Elbeltagy, A. R., Aboul-Naga, A. M., Hassen, H., Solouma, G. M., Rischkowsky, B., and Mwacharo, J. M.: Genetic diversity and structure of goats within an early livestock dispersal area in Eastern North Africa, Afr. J. Biotechnol., 15, 431–441, 2016.
El-Sayed, M. A., El-Hamamsy, S. M., Abdelhamed, W., and El-Danasoury, M. M.: Genetic Diversity in Egyptian Goats Based on Microsatellite Markers, CAST, 17, 130–139, 2017.
FAO: The State of the World:s Animal Genetic Resources for Food and Agriculture, edited by: Rischkowsky, B. and Pilling, D., Rome, 2007.
FAO: Molecular genetic characterization of animal genetic resources, FAO Animal Production and Health Guidelines, No. 9, Rome, 2011.
Foulley, J. L. and Ollivier, L.: Estimating allelic richness and its diversity. Livest. Sci., 101, 150–158, 2006.
Frankham, R.: Genetics and extinction, Biol. Conserv., 126, 131–140, 2005.
García, R. R., Celaya, R., García, U., and Osoro, K.: Goat grazing, its interactions with other herbivores and biodiversity conservation issues, Small Rumin. Res., 107, 49–64, 2012.
Gizaw, S., Haile, A., and Getachew, T.: Genetic diversity of Ethiopian goats based on microsatellite markers, Livest. Sci., 152, 143–149, 2013.
Glowatzki-Mullis, M. L., Muntwyler, J., Baumer, A., and Gaillard, C.: Genetic diversity among goat breeds from Switzerland and the Alpine region, J. Anim. Breed. Genet., 125, 425–432, 2008.
Guang-Xin, E., Hong, Q. H., Zhao, Y. J., Ma, Y. H., Chu, M. X., Zhu, L., and Huang, Y. F.: Genetic diversity estimation of Yunnan indigenous goats breeds using microsatellite markers, Ecol. Evol., 9, 5916–5924, https://doi.org/10.1002/ece3.5174, 2019.
Gupta, P. K. and Varshney, R. K.: Molecular markers and their applications in genetic diversity studies in plants, Plant Breed. Rev., 19, 205–236, 2000.
Hedrick, P. W.: A standardized genetic differentiation measure, Evolution, 59, 1633–1638, 2005.
Hilal, B., Boujenane, I., El Otmani, S., Chentouf, M., and Piro, M.: Genetic Characterization of Hamra Goat Population in Two Different Locations of Morocco Using Microsatellite Markers, Iranian Journal of Applied Animal Science, 6, 901–907, 2016.
Hussain, T., Akhtar, S., Abbas, G., Baber, M., and Ali, S.: Genetic diversity and population structure of Pakistani goat breeds, Small Ruminant Res., 143, 71–75, 2016.
Ilie, D. E., Kusza, S., Sauer, M., and Gavojdian, D.: Genetic characterization of indigenous goat breeds in Romania and Hungary with a special focus on genetic resistance to mastitis and gastrointestinal parasitism based on 40 SNPs, PLoS One, 13, e0197051, https://doi.org/10.1371/journal.pone.0197051, 2018.
Karsli, B. A., Demir, E., Fidan, H. G., and Karsli, T.: Assessment of genetic diversity and differentiation among four indigenous Turkish sheep breeds using microsatellites, Arch. Anim. Breed., 63, 165–172, https://doi.org/10.5194/aab-63-165-2020, 2020.
Kaya, I. and Yildiz, M. A.: Genetic diversity among Turkish native goat breeds: An insight from RAPD markers, S. Afr. J. Anim. Sci., 38, 116–120, 2008.
Kichamu, N., Putri K. A., George W., Péter S., Zoltán B. and Szilvia, K.: A Review on Indigenous Goats of East Africa: A Case for Conservation and Management, Biology, 13, 419, https://doi.org/10.3390/biology13060419, 2024
Kuehn, L. A., Keele, J. W., Bennett, G. L., McDaneld, T. G., Smith, T. P., Snelling, W. M., Sonstegard, T. S., and Thallman, R. M.: Predicting breed composition using breed frequencies of 50,000 markers from the US Meat Animal Research Center 2,000 Bull Project, J. Anim. Sci., 89, 1742–1750, https://doi.org/10.2527/jas.2010-3530, 2011.
Loftus, R. T., MacHugh, D. E., Bradley, D. G., Sharp, P. M., and Cunningham, P.: Evidence for two independent domestications of cattle, P. Natl. Acad. Sci. USA, 91, 2757–2761, 1999.
Lohani, M. and Bhandari, D.: The Importance of Goats in the World, Professional Agricultural Workers Journal, 6, 4, 2021.
Luikart, G., Allendorf, F. W., Cornuet, J. M., and Sherwin, W. B.: Distortion of allele frequency distributions provides a test for recent population bottlenecks, J. Hered., 89, 238–247, 1999.
Luo, X., Zhang, X., and Xu, L.: Genetic diversity of goat breeds based on microsatellite markers, Small Ruminant Res., 104, 136–142, 2012.
Mahapatra, K. D., Sahoo, L., Nath Saha, J., Murmu, K., Rasal, A., Nandanpawar, P., Das, P., and Patnaik, M.: Establishment of base population for selective breeding of catla (Catla catla) depending on phenotypic and microsatellite marker information, J. Genet., 97, 1327–1337, 2018.
Mason, I. L.: Evolution of Domesticated Animals, Longman Group Limited, 1984.
Mburu, D. and Hanotte, O.: A practical Approach to Microsatellite Genotyping with Special Reference to Livestock Population Genetics, a Manual Prepared for the IAEA/ILRI Training Course on Molecular Characterization of Small Ruminant Genetic Resource of Asia, ILRI, Nairobi, 82, 2005.
Meutchieye, F., Wamonje, F., Ngono, E. P. J., Djikeng, A., and Manjeli, Y.: Genetic Diversity of Cameroon Native Goat Populations Revealed by Caprine Microsatellites, J. Agric. Sci. Technol. A, 4, 706–713, 2014.
Monau, P., Kethusegile, R., Plaxedis, Z., and Timothy, G.: Sustainable Utilization of Indigenous Goats in Southern Africa, Diversity, 12, 20, https://doi.org/10.3390/d12010020, 2020.
M'sadak, Y., Boussarsar, M., and Moujahed, N.: Performance and adaptability of 666 Saanen and Alpine crossbreeds in Tunisian extensive goat farming systems, Trop. Anim. Health Pro., 52, 2381–2389, 2020.
Nafti, M., Khaldi, Z., and Haddad, B.: Genetic relationships and structure among goat populations from southern Tunisia assessed using microsatellites, J. New Sci. Agric. Biotechnol., 27, 1488–1497, 2016.
Naqvi, A. N., Bukhari, J. F., Vahidi, S. M. F., Utsunomiya, Y. T., Garcia, M., Ellahi, J. F. B., Jian-Lin, H., Rudolf, P., and Kathiravan, P.: Microsatellite based genetic diversity and mitochondrial DNA D-Loopvariation in economically important goat breeds of Pakistan, Small Ruminant Res., 148, 62–71, 2017.
Nei, M.: Estimation of average heterozygosity and genetic distance from a small number of individuals, Genetics, 89, 583–590, 1978.
Nei, M.: Molecular Evolutionary Genetics, Columbia University Press, NY, USA, 1987.
Pogorevc, N., Simčič, M., Khayatzadeh, N., Sölkner, J., Berger, B., Bojkovski, D., Zorc, M., Dovč, P., Medugorac, I., and Horvat, S.: Post-genotyping optimization of dataset formation could affect genetic diversity parameters: an example of analyses with alpine goat breeds, BMC Genomic, 22, 546, https://doi.org/10.1186/s12864-021-07802-z, 2021.
Pritchard, J. K., Stephens, M., and Donnelly, P.: Inference of population structure using multilocus genotype data, Genetics, 155, 945–959, 2000.
Rekik, M., Aloulou, R., and Ben Hamouda, M.: Genetic diversity and adaptability of local goat populations in Tunisia, Small Ruminant Res., 136, 29–35, 2016.
Rousset, F.: Genepop'007: A complete re-implementation of the Genepop software for Windows and Linux, Mol. Ecol. Resour., 8, 103–106, 2008.
Saitbekova, N., Gaillard, C., Obexer-Ruff, G., and Dolf, G.: Genetic diversity in Swiss goat breeds based on microsatellite analysis., Anim. Genet., 30, 36–41, 1999.
Shanthalatha, I., Reddy, S., Prakash, M., and Mahender, M.: Molecular Characterization of Mahabubnagar Goats using Microsatellite Markers, International Journal of Livestock Research, 9, 235–241, 2019.
Shrestha, J. N. B. and Fahmy, M. H.: Breeding Goats for Meat Production: 2. Crossbreeding and Formation of Composite Population, Small Ruminant Res., 67, 93–112, https://doi.org/10.1016/j.smallrumres.2005.10.018, 2005.
Smith, C. K.: Raising Goats For Dummies, John Wiley & Sons, Hoboken, NJ, ISBN 978-0-470-63380-9 (pbk), 368 pp., 2010.
Taberlet, P., Valentini, A., Rezaei, H. R., Naderi, S., Pompanon, F., Negrini, R., and Ajmone-Marsan, P.: Are cattle, sheep, and goats endangered species?, Mol. Ecol., 17, 275–284, 2008.
Tefiel, H., Ata, N., Chahbar, M., Benyarou, M., Fantazi, K., Yilmaz, O., Cemal, I., Karaca, O., Boudouma, D., and Gaouar, S. B. S.: Genetic characterization of four Algerian goat breeds assessed by microsatellite markers, Small Ruminant Res., 160, 65–71, 2018.
Toro, M. and Maki-Tanila, A.: Genomics reveals domestication history and facilitates breed development, in: Utilization and Conservation of Farm Animal Genetic Resources, 75–102, edited by: Olden broek, K., Wageningen Academic Publishers, Wageningen, the Netherlands, 2007.
Tsunoda, R., Hata, A., Kogame, K., Yamada, F., and Kawamoto, Y.: Utilization of microsatellite markers for population genetic analysis of goats in Japan, J. Anim. Breed. Genet., 127, 69–73, 2010.
Ünal, E. Ö., Işık, R., Şen, A., Geyik Kuş, E., and Soysal, M. İ.: valuation of genetic diversity and structure of Turkish water buffalo population by using 20 microsatellite markers, Animals, 11, 1067, https://doi.org/10.3390/ani11041067, 2021.
Visser, C., Hefer, C. A., Van Marle-Köster, E., and Kotze, A.: Genetic variation of three commercial and three indigenous goat populations in South Africa, S. Afr. J. Anim. Sci., 34, 24–27, 2004.
Wei, C., Lu, J., Xu, L., Liu, G., Wang, Z., Zhao, F., Zhang, L., Han, X., Du, L., and Liu, C.: Genetic structure of Chinese indigenous goats and the special geographical structure in the Southwest China as a geographic barrier driving the fragmentation of a large population, PLoS One, 9, e94435, https://doi.org/10.1371/journal.pone.0094435, 2014.
Zenger, K. R., Richardson, B. J., and Vachot-Griffin, A. M.: A comparison of genetic diversity between composite and other Australian goat populations, Small Ruminant Res., 73, 42–49, 2007.
Short summary
Understanding genetic diversity is essential for improving breeding strategies. This study examined the genetic diversity and population structure of local goats from northwestern Tunisia using seven microsatellite markers. The results revealed high genetic variability, with an average of 18 alleles per marker and a total of 123 alleles across six populations.
Understanding genetic diversity is essential for improving breeding strategies. This...