Microsatellite based phylogeny and bottleneck studies of Iranian indigenous goat populations

Integration of machine learning models with microsatellite markers: New avenue in world grapevine germplasm characterization

Development of efficient analytical techniques is required for effective interpretation of biological data to take novel hypotheses and finding the critical predictive patterns. Machine Learning algorithms provide a novel opportunity for development of low-cost and practical solutions in biology. In this study, we proposed a new integrated analytical approach using supervised machine learning algorithms and microsatellites data of worldwide vitis populations. A total of 1378 wild (V. vinifera spp. sylvestris) and cultivated (V. vinifera spp. sativa) accessions of grapevine were investigated using 20 microsatellite markers. Data cleaning, feature selection, and supervised machine learning classification models vis, Naive Bayes, Support Vector Machine (SVM) and Tree Induction methods were implied to find most indicative and diagnostic alleles to represent wild/cultivated and originated geography of each population. Our combined approaches showed microsatellite markers with the highest differentiating capacity and proved efficiency for our pipeline of classification and prediction of vitis accessions. Moreover, our study proposed the best combination of markers for better distinguishing of populations, which can be exploited in future germplasm conservation and breeding programs.

Diversity Analysis and Genetic Relationships among Local Brazilian Goat Breeds Using SSR Markers

Simple Summary

This study aimed to evaluate the genetic diversity of six groups of native Brazilian goats using a panel of single sequence repeats (SSRs). Results indicated a definite genetic differentiation among the Brazilian goat herd, which indicates the existence of at least four breeds according to the international concepts (Moxotó and Repartida; the Grauna and Serrana Azul; Canindé and Marota breeds).

Abstract

The genetic diversity of six Brazilian native goats was reported using molecular markers. Hair samples of 332 animals were collected from different goat breeds (Moxotó, Canindé, Serrana Azul, Marota, Repartida, and Graúna) from five states of Northeast Brazil (Paraíba, Pernambuco, Rio Grande do Norte, Bahia, and Piauí). A panel of 27 microsatellites or single sequence repeats (SSRs) were selected and amplified using a polymerase chain reaction (PCR) technique. All populations showed an average allele number of over six. The mean observed heterozygosity for Brazilian breeds was superior to 0.50. These results demonstrated the high genetic diversity in the studied populations with values ranging from 0.53 (Serrana Azul) to 0.62 (Repartida). The expected average heterozygosity followed the same trend ranging from 0.58 (Serrana Azul) to 0.65 (Repartida), and the values obtained are very similar for all six breeds. The fixation index (Fis) had values under 10% except for the Moxotó breed (13%). The mean expected heterozygosity of all Brazilian populations was over 0.50. Results indicated a within-breed genetic variability in the Brazilian breeds based on the average number of alleles and the average observed heterozygosity. The interbreed genetic diversity values showed proper genetic differentiation among local Brazilian goat breeds.

Genetic structure and diversity analysis of tall fescue populations by EST-SSR and ISSR markers

Tall fescue is a perennial cool-season grass with economic importance especially in temperate regions of the northern hemisphere. This study was done to assess the genetic diversity and population structure of 90 tall fescue populations and cultivars using ISSR and EST-SSR markers in order to categorize valuable populations for breeding programs and to construct the core collection of tall fescue collection in Iran. The 10 EST-SSR primer pairs amplified 92 alleles. The allele numbers varied from 4 to 13 alleles per locus with an average of 9.2 alleles, of which 84 (90.6%) were polymorphic with an average of 8.4 polymorphic bands per primer. The 39 ISSR primers totally produced 387 scorable bands, of which 335 (86.6%) were polymorphic with an average of 8.6 polymorphic bands per primer. The amplified markers by ISSR primers varied from 6 to 14 markers per primer with an average of 9.92 markers per primer. The 90 tall fescue populations using both EST-SSR and ISSR data were classified into two clusters by UPGMA method that was coincide with PCA and structure analysis results. The turf-type and forage-type populations were clearly separated. Based on the results, the Iranian populations provide a valuable and novel germplasm to employ in tall fescue varietal improvement programs for both forage and turf-type applications. This progression is an important step to introduce this collection for development of a core collection of tall fescue germplasm in Iran.

Genetic diversity and patterns of population structure in Creole goats from the Americas

Biodiversity studies are more efficient when large numbers of breeds belonging to several countries are involved, as they allow for an in-depth analysis of the within- and between-breed components of genetic diversity. A set of 21 microsatellites was used to investigate the genetic composition of 24 Creole goat breeds (910 animals) from 10 countries to estimate levels of genetic variability, infer population structure and understand genetic relationships among populations across the American continent. Three commercial transboundary breeds were included in the analyses to investigate admixture with Creole goats. Overall, the genetic diversity of Creole populations (mean number of alleles = 5.82 ± 1.14, observed heterozygosity = 0.585 ± 0.074) was moderate and slightly lower than what was detected in other studies with breeds from other regions. The Bayesian clustering analysis without prior information on source populations identified 22 breed clusters. Three groups comprised more than one population, namely from Brazil (Azul and Graúna; Moxotó and Repartida) and Argentina (Long and shorthair Chilluda, Pampeana Colorada and Angora-type goat). Substructure was found in Criolla Paraguaya. When prior information on sample origin was considered, 92% of the individuals were assigned to the source population (threshold q ≥ 0.700). Creole breeds are well-differentiated entities (mean coefficient of genetic differentiation = 0.111 ± 0.048, with the exception of isolated island populations). Dilution from admixture with commercial transboundary breeds appears to be negligible. Significant levels of inbreeding were detected (inbreeding coefficient > 0 in most Creole goat populations, P < 0.05). Our results provide a broad perspective on the extant genetic diversity of Creole goats, however further studies are needed to understand whether the observed geographical patterns of population structure may reflect the mode of goat colonization in the Americas.

Genetic Diversity of Eight Domestic Goat Populations Raised in Turkey

The objective of this study was to determine the intra- and intergenetic diversities of eight different goat populations in Turkey including Hair, Angora, Kilis, Yayladag, Shami, Honamli, Saanen, and Alpine. A total of 244 DNA samples were genotyped using 11 microsatellites loci. The genetic differentiation between breeds was considerable as a result of the statistically significant (P < 0.001) pairwise F_ST values of each pair of breeds. Exceptionally, F_ST values calculated for Honamli and Hair breeds were statistically nonsignificant (P > 0.05). Heterozygosity values ranged between 0.62 and 0.73. According to the structure and assignment test, Angora and Yayladag goats were assigned to the breed they belong to, while other breeds were assigned to two or more different groups. Because this study for the first time presented genetic data on the Yayladag goat, results of structure analysis and assigned test suggest that further analyses are needed using additional and different molecular markers.