Genetic structure of Iranian indigenous sheep breeds: insights for conservation

High-throughput DNA sequence analysis elucidates novel insight into the genetic basis of adaptation in local sheep

Understanding how evolutionary factors related to climate adaptation and human selection have influenced the genetic architecture of domesticated animals is of great interest in biology. In the current study, by using 304 whole genomes from different geographical regions (including Europe, north Africa, Southwest Asia, east Asia, west Africa, south Asia, east Africa, Australia and Turkey), We evaluate global sheep population dynamics in terms of genetic variation and population structure. We further conducted comparative population analysis to study the genetic underpinnings of climate adaption to local environments and also morphological traits. In order to identify genomic signals under selection, we applied fixation index (FST) and also nucleotide diversity (θπ) statistical measurements. Our results revealed several candidate genes on different chromosomes under selection for local climate adaptation (e.g. HOXC12, HOXC13, IRF1, FGD2 and GNAQ), body size (PDGFA, HMGA2, PDE3A) and also morphological related traits (RXFP2). The discovered candidate genes may offer newel insights into genetic underpinning of regional adaptation and commercially significant features in local sheep.

Genetic Differentiation among Livestock Breeds-Values for Fst

(1) Background: The Fst statistic is widely used to characterize between-breed relationships. Fst = 0.1 has frequently been taken as indicating genetic distinctiveness between breeds. This study investigates whether this is justified. (2) Methods: A database was created of 35,080 breed pairs and their corresponding Fst values, deduced from microsatellite and SNP studies covering cattle, sheep, goats, pigs, horses, and chickens. Overall, 6560 (19%) of breed pairs were between breeds located in the same country, 7395 (21%) between breeds of different countries within the same region, 20,563 (59%) between breeds located far apart, and 562 (1%) between a breed and the supposed wild ancestor of the species. (3) Results: General values for between-breed Fst were as follows, cattle: microsatellite 0.06-0.12, SNP 0.08-0.15; sheep: microsatellite 0.06-0.10, SNP 0.06-0.17; horses: microsatellite 0.04-0.11, SNP 0.08-0.12; goats: microsatellite 0.04-0.14, SNP 0.08-0.16; pigs: microsatellite 0.06-0.27, SNP 0.15-0.22; chickens: microsatellite 0.05-0.28, SNP 0.08-0.26. (4) Conclusions: (1) Large amounts of Fst data are available for a substantial proportion of the world's livestock breeds, (2) the value for between-breed Fst of 0.1 is not appropriate owing to its considerable variability, and (3) accumulated Fst data may have value for interdisciplinary research.

Transcriptome resequencing data for rock pigeon (Columba livia)

OBJECTIVE

How do birds navigate their way? It is one of the interesting question about homing pigeons, however the genetic of navigation has reminded as a puzzle. Optic lobe, olfactory bulb, hippocampus and cere were collected for RNA sampling. The generated RNA-seq represent RNA resequencing data for racing homer (homing) pigeon and other rock pigeon breeds. The obtained data set can provide new insight about hippocampus role and GSR contribution to pigeon magnetoreception.

DATA DESCRIPTION

To investigate the navigation ability of rock pigeon breeds, 60 whole transcriptome sequence data sets related to homing pigeon, Shiraz tumblers, feral pigeons and Persian high flyers were obtained. RNA extraction was performed from three brain regions (optic lobe, olfactory bulb, hippocampus) and cere. Paired-end 150 bp short reads (Library size 350 bp) were sequenced by Illumina Hiseq 2000. In this way, about 342.1 Gbp and 130.3 Gb data were provided. The whole transcriptome data sets have been deposited at the NCBI SRA database (PRJNA532674). The submitted data set may play critical role to describe the mechanism of navigation ability of rock pigeon breeds.

Signature selection analysis reveals candidate genes associated with production traits in Iranian sheep breeds

BACKGROUND

Sheep were among the first animals to be domesticated. They are raised all over the world and produce a major scale of animal-based protein for human consumption and play an important role in agricultural economy. Iran is one of the important locations for sheep genetic resources in the world. Here, we compared the Illumina Ovine SNP50 BeadChip data of three Iranian local breeds (Moghani, Afshari and Gezel), as a population that does not undergone artificial breeding programs as yet, and five other sheep breeds namely East Friesian white, East Friesian brown, Lacaune, DorsetHorn and Texel to detect genetic mechanisms underlying economical traits and daptation to harsh environments in sheep.

RESULTS

To identify genomic regions that have been targeted by positive selection, we used fixation index (Fst) and nucleotide diversity (Pi) statistics. Further analysis indicated candidate genes involved in different important traits such as; wool production included crimp of wool (PTPN3, NBEA and KRTAP20-2 genes), fiber diameter (PIK3R4 gene), hair follicle development (LHX2 gene), the growth and development of fiber (COL17A1 gene)), adaptation to hot arid environments (CORIN gene), adaptive in deficit water status (CPQ gene), heat stress (PLCB4, FAM107B, NBEA, PIK3C2B and USP43 genes) in sheep.

CONCLUSIONS

We detected several candidate genes related to wool production traits and adaptation to hot arid environments in sheep that can be applicable for inbreeding goals. Our findings not only include the results of previous researches, but also identify a number of novel candidate genes related to studied traits. However, more works will be essential to acknowledge phenotype- genotype relationships of the identified genes in our study.

Genome-wide DNA arrays profiling unravels the genetic structure of Iranian sheep and pattern of admixture with worldwide coarse-wool sheep breeds

Archaeological and genetic evidence show that sheep were originally domesticated in area around the North of Zagros mountains, North-west of Iran. The Persian plateau exhibits a variety of native sheep breeds with a common characteristic of coarse-wool production. Therefore, knowledge about the genetic structure and diversity of Iranian sheep and genetic connections with other sheep breeds is of great interest. To this end, we genotyped 154 samples from 11 sheep breeds distributed across Iran with the Ovine Infinium HD SNP 600 K BeadChip array, and analyzed this dataset combined with the retrieved data of 558 samples from 19 worldwide coarse-wool sheep breeds. The average genetic diversity ranged from 0.315 to 0.354, while the F_ST values ranged from 0.016 to 0.177 indicating a low differentiation of Iranian sheep. Analysis of molecular variance showed that 90.21 and 9.79% of the source of variation were related to differences within and between populations, respectively. Our results indicated that the coarse-wool sheep from Europe were clearly different from those of the Asia. Accordingly, the Asiatic mouflon was positioned between Asian and European countries. In addition, we found that the genetic background of Iranian sheep is present in sheep from China and Kyrgyzstan, as well as India. The revealed admixture patterns of the Iranian sheep and other coarse-wool sheep breeds probably resulted from the expansion of nomads and through the Silk Road trade network.

An Overview of the Use of Genotyping Techniques for Assessing Genetic Diversity in Local Farm Animal Breeds

Simple Summary

The number of local farm animal breeds is declining worldwide. However, these breeds have different degrees of genetic diversity. Measuring genetic diversity is important for the development of conservation strategies and, therefore, various genomic analysis techniques are available. The aim of the present work was to shed light on the use of these techniques in diversity studies of local breeds. In summary, a total of 133 worldwide studies that examined genetic diversity in local cattle, sheep, goat, chicken and pig breeds were reviewed. The results show that over time, almost all available genomic techniques were used and various diversity parameters were calculated. Therefore, the present results provide a comprehensive overview of the application of these techniques in the field of local breeds. This can provide helpful insights into the advancement of the conservation of breeds with high genetic diversity.

Abstract

Globally, many local farm animal breeds are threatened with extinction. However, these breeds contribute to the high amount of genetic diversity required to combat unforeseen future challenges of livestock production systems. To assess genetic diversity, various genotyping techniques have been developed. Based on the respective genomic information, different parameters, e.g., heterozygosity, allele frequencies and inbreeding coefficient, can be measured in order to reveal genetic diversity between and within breeds. The aim of the present work was to shed light on the use of genotyping techniques in the field of local farm animal breeds. Therefore, a total of 133 studies across the world that examined genetic diversity in local cattle, sheep, goat, chicken and pig breeds were reviewed. The results show that diversity of cattle was most often investigated with microsatellite use as the main technique. Furthermore, a large variety of diversity parameters that were calculated with different programs were identified. For 15% of the included studies, the used genotypes are publicly available, and, in 6%, phenotypes were recorded. In conclusion, the present results provide a comprehensive overview of the application of genotyping techniques in the field of local breeds. This can provide helpful insights to advance the conservation of breeds.

Genetic characterization and population structure of different coat colour variants of Badri cattle

The present study aimed to genetically characterize the Badri cattle and its three colour variants and assess their population structure using 24 microsatellite markers. Out of 96 animals analyzed, 32 each were collected from grey (GVBC), brown (BrVBC) and black (BVBC) colour variants of Badri cattle (BC). The genetic diversity parameters including allele frequencies, observed and effective number of alleles, observed and expected heterozygosity, PIC, Shannon's indices and F-statistics were estimated using POPGENE software. Bottleneck analysis was performed using both qualitative and quantitative approaches. A total of 274 alleles (50 private and 224 shared) were scored for BC, GVBC, BrVBC and BVBC with mean number of 11.417, 9.083, 9.125 and 9.083 alleles, respectively. All populations exhibited average heterozygosity estimate > 0.5 indicating existence of substantial genetic variability, concurrent with revelations from Shannon's indices. Observed mean PIC estimates (> 0.74) were indicative of optimum informativeness of used microsatellite markers. The mean inbreeding estimates (F) in GVBC, BrVBC and BVBC were 0.041, - 0.024 and 0.016, respectively. The pair wise genetic (> 0.91) pointed towards similarity between different colour variant populations. STRUCTURE analysis also revealed clear admixture for the three Badri colour variants indicating absence of genetic differentiation. The present study revealed first-hand information that populations of Badri cattle with different phenotypes with respect to coat colour are genetically related and can be considered as a single breed. The comprehensive knowledge generated for Badri cattle will help in designing breeding plan for its genetic improvement and deciding the conservation priorities.

A Novel Missense Single Nucleotide Polymorphism in the GREM1 Gene is Highly Associated with Higher Reproductive Traits in Awassi Sheep

GREM1 (gremlin1) is a known inhibitor for BMP15 (bone morphogenetic protein 15) family, but its genetic diversity in sheep is unknown. The present study was conducted to analyze the polymorphism of GREM1 gene using PCR- single-strand conformation polymorphism (SSCP) and DNA sequencing methods and to assess the possible association of GREM1 gene polymorphism with reproductive traits in Awassi ewes. A total of 224 ewes, 124 producing singles and 100 producing twins, were included in the study. Two SSCP patterns were detected in two amplified loci within the exon 2. Two exonic novel single nucleotide polymorphism (SNP)s were identified, c.74 T > G (the silent SNP p.Met123 =) and c.30 T > A with (the missense SNP p.Ile237Phe). Statistical analyses indicated a non-significant (P > 0.05) association of p.Met123 = with the analyzed reproductive traits of fecundity, prolificacy, litter size, and twinning rate. Meanwhile, p.Ile237Phe SNP exhibited a highly significant (P < 0.01) association with the measured reproductive traits, in which ewes with TA genotype (with p.Ile237Phe SNP) exhibited higher litter size, twinning ratio, fecundity, and prolificacy than those with TT genotype (without p.Ile237Phe SNP). The deleterious impact of p.Ile237Phe SNP was observed by the means of ten different state-of-the-art in silico tools that predicted a highly damaging effect of p.Ile237Phe SNP on the structure, function, and stability of gremlin1. In conclusion, the results of our study suggest that p.Ile237Phe SNP has a remarkable negative impact on the gremlin1 structure, function, and stability. Since gremlin1 is a known inhibitor of reproductive performance, a consequent higher reproductive performance was observed in ewes with damaged gremlin1 (with p.Ile237Phe SNP) than those with non-damaged gremlin1 (without p.Ile237Phe SNP). Therefore, it can be stated that the implementation of the novel p.Ile237Phe SNP in the GREM1 gene could be a useful marker in marker-assisted selection. This manuscript is the first one to describe GREM1 gene variations in sheep.