Genetic Diversity and Landscape Genomics of Carya dabieshanensis (M.C. Liu and Z.J. Li) in a Heterogenous Habitat

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Carya dabieshanensis is a species of significant economic value due to its unique flavor and nutritional properties as a snack food, as well as its durable wood, which is highly suitable for furniture production. Known for its remarkable adaptability to environmental stress, this species serves as a valuable genetic resource for enhancing hickory cultivars. However, its restricted distribution and limited availability of high-quality germplasm have impeded large-scale cultivation and hindered industry development. While the genetic diversity and genomic basis of its environmental adaptation hold great promise for future breeding programs, no studies to date have utilized SNP markers to explore its genetic diversity or the genomic mechanisms underlying environmental adaptability. In this study, we analyzed 60 samples from 12 natural populations of C. dabieshanensis, representing its global distribution. Using the Carya illinoinensis (Wangenh. and K. Koch) genome as a reference, we employed Specific Locus Amplified Fragment Sequencing (SLAF-seq) to generate high-quality SNP data. By integrating population and landscape genomics approaches, we investigated the genetic structure and diversity of wild populations and identified key environmental factors driving genetic differentiation. Our population genomics analysis revealed 9,120,926 SNP markers, indicating substantial genetic diversity (π = 1.335 × 10−3 to 1.750 × 10−3) and significant genetic differentiation among populations (FST = 0.117–0.354). Landscape genomics analysis identified BIO3 (Isothermality), BIO6 (Min Temperature of Coldest Month), and BIO14 (Precipitation of Driest Month) as critical environmental factors shaping genetic diversity. This study provides essential insights into the genetic resources of C. dabieshanensis, facilitating the development of climate-resilient cultivars and offering a scientific foundation for the conservation and sustainable management of its wild populations.

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Use of SNP markers to conserve genome-wide genetic diversity in livestock
  • Jan 1, 2012
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Conservation of genetic diversity in livestock breeds is important since it is, both within and between breeds, under threat. The availability of large numbers of SNP markers has resulted in new opportunities to estimate genetic diversity in more detail, and to improve prioritization of animals for conservation of genetic diversity. The aim of this thesis was to further explore the potential of SNP markers for estimation and conservation of genetic diversity within livestock breeds. This was evaluated analyzing Holstein cattle populations, genotyped with a commonly used 50k SNP chip. Genetic diversity was estimated with SNP markers and compared to genetic diversity estimated with pedigree information. Both methods could detect differences in overall genetic diversity, even between two closely related populations. With SNP markers, differences in genetic diversity at the chromosomal level could be identified as well. Subsequently, SNP markers and pedigree information were used to prioritize animals for conservation in a gene bank using optimal contributions. SNP based prioritization was slightly more effective than pedigree based information, both over the whole genome and at specific regions of the genome. We extended the optimal contribution method to simultaneously conserve a single allele at a specific frequency and maximize the overall genetic diversity conserved in a gene bank. The loss of overall genetic diversity was larger when the target frequency for animals conserved in the gene bank differed more from the original frequency in the population. It can be concluded that dense SNP data form a powerful tool for estimation and conservation of genetic diversity in livestock breeds. Although pedigree information gives a good representation of the overall genetic diversity, SNP markers can provide more detailed information about the genetic diversity over the genome. Especially for small populations, SNP markers can play an important role in conservation of unique alleles, while simultaneously minimizing the loss of genetic diversity at the rest of the genome.

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Context Genetic diversity between parental lines is closely linked to the extent of heterosis in crops such as rice (Oryza sativa L.). Diversifying indica lines through incorporation of tropical japonica genome has been shown to enhance heterosis in rice. Nevertheless, it is crucial to assess newly developed lines from inter-subspecific crosses for agronomic and quality traits for exploitation. Aims Assessing the genetic diversity of inter-subspecific rice derivatives and identifying superior lines with desirable agronomic/quality traits using a multi-trait index. Methods Diversity of 88 breeding lines was estimated using the unweighted pair group method with arithmetic mean (UPGMA) clustering method for eight agronomic and three quality traits. Multi-trait genotype ideotype selection indices and yield*trait biplot analysis were used to select superior lines. Key results The traits total number of spikelets per panicle, gelatinisation temperature, and apparent amylose content exhibited high genetic variation and heritability, while single plant yield expressed moderate heritability. The lines were grouped into eight distinct clusters, thus harbouring substantial genetic diversity. Significant selection gains for yield and other traits, such as number of spikelets per panicle, productive tillers, and apparent amylose content were noticed. Four lines, CB ITJ 123, CB ITJ 42, CB ITJ 35, and CB ITJ 66, emerged as superior candidates for further use in hybrid breeding. Conclusions The substantial genetic variation and diversity observed in inter-subspecific derivatives suggest their potential for exploitation in two-line or three-line breeding to enhance the level of heterosis. Implications Diverse breeding lines developed from Inter-subspecific hybridisation with desirable traits can be used to develop hybrids predicted to be heterotic than intra-subspecific hybrids. Multi-trait selection indices facilitate the simultaneous improvement of yield attributes and quality traits.

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Tidal marshes at the Paul S. Sarbanes Ecosystem Restoration Project at Poplar Island (PI) are part of a large‐scale restoration project to replace lost island habitat in Chesapeake Bay, United States. However, observations of Spartina alterniflora die‐back prompted questions about the impact on genetic diversity and resilience of restored versus natural marshes, leading to an investigation of genetic diversity and population structure. Transects were established across three distinct restored marshes with different ages and histories of die‐back and across two local, non‐restored native marshes. Plants were genotyped at eight microsatellite markers to examine metrics of genetic diversity, population structure, and clonality. Allelic richness but not heterozygosity was higher in restored marshes compared to reference marshes, which showed significantly higher clonality and spatial genetic autocorrelation. Restored marsh areas experiencing die‐back had slightly lower multilocus diversity indices than non‐die back areas in two third cases, but not a third comparison. Significant genetic differentiation was observed between the native and restored marshes (mean GST approximately 0.06), which reflects the approximately 100 km distance between native marshes and restored seed source in New Jersey. Overall, die‐back in restored marshes did not substantially affect genetic diversity or composition, but substantial differences in diversity were observed between restored and native marshes. Reduced clonal diversity in mature, native marshes may be a function of their greater age, as has been reported elsewhere. Future monitoring of neutral genetic diversity in PI marshes will be useful for understanding longer‐term patterns of genetic change and diversity in planted, restored marshes.

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Biotic and abiotic factors affecting the genetic structure and diversity of butternut in the southern Appalachian Mountains, USA
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The abundance of butternut (Juglans cinerea L.) trees has severely declined rangewide over the past 50 years. An important factor in the decline is butternut canker, a disease caused by the fungus Ophiognomonia clavigigenti-juglandacearum, which has left the remaining butternuts isolated and sparsely distributed. To manage the remaining populations effectively, information regarding how butternut’s population genetic structure is affected by environmental and historical factors is needed. In this study, we assessed genetic structure and diversity of 161 butternut trees from 19 adjacent watersheds in the southern portion of butternut’s range using 12 microsatellite markers. We assessed the genetic diversity and genetic differentiation among trees grouped at various spatial scales. Our goal was to use historical abundance and land use data for these watersheds, which are now all a part of the Great Smoky Mountains National Park (GSMNP), to understand the ecological and evolutionary forces that challenge the conservation and management of butternut. In general, butternuts within the 19 neighboring watersheds were all part of one continuous population, with gene flow throughout. Significant genetic differentiation was detected between some groups of trees, but the differentiation was quite small and may not represent an ecologically significant distinction. The mean heterozygosity in all watersheds remained high, despite extensive mortality. Overall, genetic diversity and rare alleles were evenly distributed across all watersheds, with some variability in subpopulations containing butternut-Japanese walnut hybrids (Juglans x bixbyi or buarts). These results indicate that management of this species should focus on protection from future hybridization with Japanese walnut, promotion of regeneration, and persistence of all remaining butternut trees, which still retain high levels of genetic diversity.

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