Dalbergia hupeana Hance (D. hupeana) is a precious hardwood tree of the genus Dalbergia. It is one of the few species widely distributed within subtropical areas and is important for timber production and forest restoration. At present, there is little published genetic information on D. hupeana. Therefore, we performed a genome survey using next generation sequencing (NGS) and developed a set of novel genomic SSR (gSSR) markers from the assembled data, and assessed the transferability of these markers to other Dalbergia species in Asia. The results of the genome survey show the genome size of D. hupeana to be about 664 Mb and highly heterozygous. The assembly of sequencing data produced 2,431,997 contigs, and the initial assembly of the NGS data alone resulted in contig N50 of 393 kb with a total of 720 Mb. A total of 127,742 perfect SSR markers were found in the assembled contigs. A total of 37 highly polymorphic and easily genotyped gSSR markers were developed in D. hupeana, while the majority of gSSR markers could be successfully transferred to nine other Dalbergia species in Asia. The transferability rate of gSSR markers was highest in D. balansae, which is more closely related to D. hupeana. Seven gSSR markers were able to be amplified in all tested species. In addition, a preliminary assessment of the genetic diversity of three tree species in the Dalbergia genus suggested a high level of genetic diversity within populations distributed in the subtropical area in China. However, the determination of the global status of their genetic variation still requires further and more comprehensive assessment. Our findings will enable further studies on the genetic diversity, phylogenetics, germplasm characterization, and taxonomy of various Dalbergia species.

Magnolia sieboldii, an important ornamental tree native to East Asia, comprises two subspecies in distinct regions, with wild populations facing suboptimal survival. This study aimed to understand the potential habitat distribution of these subspecies under future climate-change conditions to support climate-adaptive conservation. The maximum entropy (MaxEnt) model was used with occurrence and environmental data to simulate the current and future suitable habitats under various climate scenarios. Precipitation in the warmest quarter played a crucial role in shaping the potential habitats of both subspecies; however, they exhibited different sensitivities to temperature-related variables and altitude. Magnolia sieboldii subsp. sieboldii is more sensitive to temperature seasonality and annual mean temperature, whereas Magnolia sieboldii subsp. japonica is more affected by altitude, mean temperature in the driest quarter, and isothermality. Currently, the subsp. sieboldii is predicted to have larger, more contiguous suitable habitats across northeastern China, the Korean Peninsula, and Japan, whereas the subsp. japonica occupies smaller, more disjunct habitats scattered in central and western Japan and the southern Chinese mountains. These two subspecies will respond differently to future climate change. Potentially suitable habitats for subsp. sieboldii are expected to expand significantly northward over time, especially under the SSP585 scenario compared with the SSP126 scenario. In contrast, moderately and highly suitable habitats for the subsp. japonica are projected to contract southward significantly. Therefore, we recommend prioritizing the conservation of the subsp. japonica over that of the subsp. sieboldii. Strategies include in situ and ex situ protection, introduction and cultivation, regional hybridization, and international cooperation. Our study offers valuable insights for the development of targeted conservation strategies for both subspecies of M. sieboldii to counteract the effects of climate change.