Genomic Diversity Analyses of Some Indigenous Montenegrin Sheep Populations

Abstract

Montenegro has a great diversity of indigenous and locally developed sheep breeds, adapted to different regions and climates. However, the current trend of the steady decline in sheep populations means that some of them are threatened with extinction. The aim of this study was the investigation of the genetic diversity and population structure of five Montenegrin sheep populations, using the OvineSNP50K BeadChip. Data from the studied sheep were supplemented with publicly available genotypes of worldwide breeds to determine admixture contributions and genetic relationships. Higher genetic diversity and low inbreeding were observed in Pivska Pramenka and Sjenicka sheep, with Ho = 0.411, He = 0.423, and FROH>2Mb = 0.056 and Ho = 0.421, He = 0.421, and FROH>2Mb = 0.041, respectively. Zetska Zuja had much lower FIS (0.001) and high FROH inbreeding (0.090), indicating a small population size and genetic drift. An analysis of the genetic population structure showed that Montenegrin sheep populations are genetically distinct populations. This analysis revealed the presence of admixture in most sheep populations (high heterogeneity), while genetic purity was observed in Zetska Zuja. The obtained results will help in the conservation management of endangered Montenegrin sheep populations.

An empirical test of the estimation of historical effective population size using Drosophila melanogaster

“…The method of Santiago et al (2020) has now been applied to different species, particularly in the last year, including insects, such as honeybees (Sang et al, 2022); birds, such as Black Robin (von Seth et al, 2022); fishes, such as turbot, seabream and seabass (Saura et al, 2021), Baltic herring (Atmore et al, 2022), pikeperch (De Los Ríos-Pérez et al, 2022, coho salmon (Martinez et al, 2022), catfish (Coimbra et al, 2023) and sailfish (Ferrette et al, 2023); wild mammals, such as grey wolf (Pacheco et al, 2022), killer whales (Kardos et al, 2023), sika deer (Iijima et al, 2023), scimitar-horned oryx (Humble et al, 2023) and gorilla (Alvarez-Estape et al, 2023); humans (Bird et al, 2023); domestic species, such as pigs (Krupa et al, 2022), cattle (Jin et al, 2022;Magnier et al, 2022), sheep (Djokic et al, 2023;Drzaic et al, 2022), horse (Criscione et al, 2022) and chicken (Gao et al, 2023;Liu et al, 2023); plants, such as walnut (Ding et al, 2022); crustaceans, such as Daphnia (Wersebe & Weider, 2023) and fungi (Singh et al, 2021). As suggested by Santiago et al (2020), the method is generally reliable for about 200 generations in the past, although…”

Impact of population structure in the estimation of recent historical effective population size by the software GONE

“…The possibility of estimating changes in population size in the recent past is particularly useful in livestock species, for which the start of breeding programs may imply substantial changes in N e . To date, this software has been applied to various breeds of pigs [ 20 ], cattle [ 21 , 22 ], sheep [ 23 , 24 ], horses [ 25 ] and chickens [ 26 , 27 ], and fish species such as turbot, seabream and seabass [ 16 ], Baltic herring [ 28 ], pikeperch [ 29 ], coho salmon [ 30 ], catfish [ 31 ] and sailfish [ 32 ].…”