Genetic Diversity of the Endangered Endemic Anoa (Bubalus spp): Implication for Conservation

Anoa is an endemic ungulate in Sulawesi and its status now is endangered because the population continues to decline. Conservation genetics is one of the crucial issues in the anoa conservation strategy and action plan 2013-2022 document, but this genetic data is not yet available. To investigate and provide valuable information for conservation genetics measures, thirteen polymorphic microsatellites were used to analyze 20 adult anoa. Anoa has relatively low genetic diversity within populations (HO = 0.58), and high genetic differentiation among populations (FST = 0157). Although the anoa population has a bottleneck signal (T.P.M: 0.019; P0.05), the bottleneck simulation results show that the loss of genetic diversity is being slow over the next 100 years (9.5%). We provide some recommendations for conservation genetics based on the findings in this paper, including monitoring and genetically mapping for other anoa populations due to bottleneck signals, establishing the founder of the ex-situ population by examining their genetic diversity status, maintaining and increasing the number of individuals in the ex-situ population to genetically safe population size, and managing anoa populations by avoiding inbreeding. In-situ and ex-situ conservation programs should be combined to maintain the genetic diversity of anoa

Genetic diversity and structure in the Sado captive population of the Japanese crested ibis.

The Japanese crested ibis Nipponia nippon is a critically threatened bird. We assessed genetic diversity and structure in the Sado captive population of the Japanese crested ibis based on 24 and 50 microsatellite markers developed respectively for the same and related species. Of a total of 74 loci, 19 showed polymorphisms in the five founder birds of the population, and therefore were useful for the analysis of genetic diversity and structure. Genetic diversity measures, A, ne, He, Hoand PIC, obtained by genotyping of the 138 descendants were similar to those of other species with population bottlenecks, and thus considerably low. The low level of genetic diversity resulting from such bottlenecks was consistent with the results of lower genetic diversity measures for the Sado captive relative to the Chinese population that is the source population for the Sado group as determined using previously reported data and heterozygosity excess by Hardy-Weinberg equilibrium tests. Further, individual clustering based on the allele-sharing distance and Bayesian model-based clustering revealed that the founder genomes were equally at population in total, and with various admixture patterns at individual levels inherited by the descendants. The clustering results, together with the result of inheritance of all alleles of the microsatellites from the founders to descendants, suggest that planned mating in captive-breeding programs for the population has succeeded in maintaining genetic diversity and minimizing kinship. In addition, the Bayesian model-based clustering assumed two different components of genomes in the Sado captive Japanese crested ibis, supporting a considerably low level of genetic diversity

Evolving coral reef conservation with genetic information

Targeted conservation and management programs are crucial for mitigating anthropogenic threats to declining biodiversity. Although evolutionary processes underpin extant patterns of biodiversity, it is uncommon for resource managers to explicitly consider genetic data in conservation prioritization. Genetic information is inherently relevant to management because it describes genetic diversity, population connectedness, and evolutionary history; thereby typifying their behavioral traits, physiological climate tolerance, evolutionary potential, and dispersal ability. Incorporating genetic information into spatial conservation prioritization starts with reconciling the terminology and techniques used in genetics and conservation science. Genetic data vary widely in analyses and their interpretations can be challenging even for experienced geneticists. Therefore, identifying objectives, decision rules, and implementations in decision support tools specifically for management using genetic data is challenging. Here, we outline a framework for eight genetic system characteristics, their measurement, and how they could be incorporated in spatial conservation prioritization for two contrasting objectives: biodiversity preservation vs maintaining ecological function and sustainable use. We illustrate this framework with an example using data from Tridacna crocea (Lamarck, 1819) (boring giant clam) in the Coral Triangle. We find that many reefs highlighted as conservation priorities with genetic data based on genetic subregions, genetic diversity, genetic distinctness, and connectivity are not prioritized using standard practices. Moreover, different characteristics calculated from the same samples resulted in different spatial conservation priorities. Our results highlight that omitting genetic information from conservation decisions may fail to adequately represent processes regulating biodiversity, but that conservation objectives related to the choice of genetic system characteristics require careful consideration

Genetic diversity, inter-gene pool introgression and nutritional quality of common beans (Phaseolus vulgaris L.) from Central Africa

The Great Lakes region of Central Africa is a major producer of common beans in Africa. The region is known for high population density and small average farm size. The common bean represents the most important legume crop of the region, grown on over a third of the cultivated land area, and the per capita consumption is among the highest in the world for the food crop. The objective of this study was to evaluate the genetic diversity in a collection of 365 genotypes from the Great Lakes region of Central Africa, including a large group of landraces from Rwanda as well as varieties from primary centers of diversity and from neighboring countries of Central Africa, such as the Democratic Republic of Congo and Uganda, using 30 fluorescently labeled microsatellite markers and automated allele detection. In addition, the landraces were evaluated for their seed iron and zinc concentration to determine if genetic diversity influenced nutritional quality. Principal coordinate and neighbor-joining analyses allowed the separation of the landraces into 132 Andean and 195 Mesoamerican (or Middle American) genotypes with 32 landraces and 6 varieties intermediate between the gene pools and representing inter-gene pool introgression in terms of seed characteristics and alleles. Genetic diversity and the number of alleles were high for the collection, reflecting the preference for a wide range of seed types in the region and no strong commercial class preference, although red, red mottled and brown seeded beans were common. Observed heterozygosity was also high and may be explained by the common practice of maintaining seed and plant mixtures, a coping strategy practiced by Central African farmers to reduce the effects of abiotic and biotic stresses. Finally, nutritional quality differed between the gene pools with respect to seed iron and zinc concentration, while genotypes from the intermediate group were notably high in both minerals. In conclusion, this study has shown that Central African varieties of common bean are a source of wide genetic diversity with variable nutritional quality that can be used in crop improvement programs for the region

Genetic diversity of Lusitano horse in Brazil using pedigree information

This study aimed to evaluate population parameters and to describe the genetic diversity of the Lusitano breed in Brazil using pedigree data. Two populations were evaluated: total population (TP) containing 18,922 animals, and reference population (RP) composed of a part of TP containing 8,329 animals, representing the last generation. The generation interval (10.1 ± 5.1 years) was in the range for horse populations. Pedigree completeness in RP shows almost 100% filling in the three most recent generations, indicating improvement in the pedigree data and accuracy of the results, and the inbreeding coefficient (4.46%) and average relatedness (5.97%) for RP, indicating control on the part of breeders. The effective population size was 89 (TP) and 90 (RP). The effective number of founders (fe) were 33 and 29, effective number of ancestors (fa) were 30 and 26, and effective number of founder genomes (fg) were 19 and 15 for TP and RP, respectively, indicating a reduction of genetic variability in the last generations. The total number of ancestors that explains 100% of the genetic diversity in the Lusitano breed in Brazil was 427 (TP) and 341 (RP). The reproductive parameters, probabilities of gene origin showing loss of variability in the last generations, and the genetic contributions of ancestors suggest the need to monitor genetic diversity over time in breeding programs to allow control of the next generations and to increase their variability.info:eu-repo/semantics/publishedVersio