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

Forests, Journal Year: 2025, Volume and Issue: 16(3), P. 455 - 455

Published: March 4, 2025

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

Language: Английский

Cold-Season Precipitation and Latitudinal Differences Are Key Drivers of Salix alba Genetic Diversity in Arid Zones

Forests, Journal Year: 2025, Volume and Issue: 16(5), P. 725 - 725

Published: April 24, 2025

Salix alba L. (Linnaeus, 1753; Salicaceae), a widely distributed riparian species, remains understudied regarding its genetic diversity patterns and driving factors in arid zone ecosystems. In this study, 320 samples were collected from 10 geographic unit groups Xinjiang, China, typical zone, analyzed using comprehensive approach that incorporated SSR molecular marker technology with multi-dimensional data on climatic factors. The analysis revealed that: (1) of the was found to be relatively rich, populations humid areas northern Xinjiang (e.g., Shannon’s index I = 0.45 Ili) significantly higher than those extreme regions southern Hotan), 0.0762 Yili. Further both STRUCTURE (K 3) PCoA methods confirmed division into three independent clusters, 65% observed variation originating differences between these populations. (2) Secondly, exhibited explanatory power elucidating variations distances among individuals. Cold season precipitation (Bio19, r 0.621) coefficient annual (Bio17, 0.588) identified as primary drivers variations. Conversely, latitudinal difference (r 0.487) distance 0.207) significant impact distance, underscoring importance geo-graphic shaping variation.

Language: Английский