Climate, topography, and human activities are known to influence plant diversity. In the present study, species-abundance distribution (SAD) patterns of the shrub community were fitted, and the mechanism of contribution of 22 driving factors was assessed. The results showed that the α-diversity index exhibited no significant differences between artificial disturbance and the natural community. The Zipf and Zipf–Mandelbrot models were found to exhibit a good SAD fitting of the communities, thereby exhibiting a different diversity structure. It was observed that the SAD followed more than one rule, and the Zipf–Mandelbrot model was better than other models. The gradient boosting model indicated that precipitation in the wettest month, annual precipitation, and slope direction showed the strongest impact on plant richness. The indicator species of the artificial disturbance and natural community were identified from a multiple regression tree. Furthermore, an increase in species diversity was observed with a rise in latitude, exhibiting a single-peaked curve with increased altitude. β-diversity analysis indicated that both habitat filtering and the neutral effect influenced the establishment of the natural community, while the establishment of the artificial disturbance community was only affected by habitat filtering. Our study provides a better understanding of the ecological process of the maintenance of shrub-community diversity.

Platycladus orientalis (i.e., Chinese thuja) is famous for its lifespan spanning hundreds, and even thousands, of years. Most ancient P. orientalis populations are widely distributed in China, with accessible historical records, making them valuable genetic resources. In this study, the distribution pattern of ancient P. orientalis in China was analyzed based on 13 bioclimatic factors. Additionally, a specific-locus amplified fragment (SLAF) sequencing method was applied to detect single nucleotide polymorphisms (SNPs) in the genomes of 100 accessions from 13 populations. The resulting data revealed that the suitable areas for the distribution of ancient P. orientalis populations were accurately predicted with four main climatic factors. A total of 81,722 SNPs were identified from 461,867 SLAFs for 100 individuals, with an average sequencing depth of 10.11-fold and a Q30 value of 82.75%. The pair-wise genetic distance and genetic differentiation of 13 populations indicated that the BT-T population exhibited the largest divergence from the other populations. A neighbor-joining phylogenetic tree suggested the relationship between many individuals was inconsistent with the geographical location, possibly indicative of a history of transplantation and cultivation. All individuals were clustered into nine genotypes according to a structural analysis and the relationships between individuals were clarified in phylogenetic trees. This study highlights the importance of the de novo genome sequencing of ancient P. orientalis and may provide the basis for the conservation of P. orientalis genetic resources, the identification of supergene families, and the evaluation of related genetic resources.

Background: Gnetumis an economically important tropical and subtropical gymnosperm genus with various dietary, industrial and medicinal uses. Many carbohydrates, proteins and fibers accumulate during the ripening ofGnetumseeds. However, the molecular mechanisms related to this process remain unknown.Results: We therefore assembled a full-length transcriptome from immature and matureG. luofuenseseeds using PacBio sequencing reads. We identified a total of 5726 novel genes, 9061 alternative splicing events, 3551 lncRNAs, 2160 transcription factors, and we found that 8512 genes possessed at least one poly(A) site. In addition, gene expression comparisons of six transcriptomes generated by Illumina sequencing showed that 14,323 genes were differentially expressed from an immature stage to a mature stage with 7891 genes upregulated and 6432 genes downregulated. The expression of 14 differentially expressed transcription factors from the MADS-box, Aux/IAA and bHLH families was validated by qRT-PCR, suggesting that they may have important roles in seed ripening ofG. luofuense.Conclusions: These findings provide a valuable molecular resource for understanding seed development of gymnosperms.

The limitations of RNA sequencing make it difficult to accurately predict alternative splicing (AS) and alternative polyadenylation (APA) events and long non-coding RNAs (lncRNAs), all of which reveal transcriptomic diversity and the complexity of gene regulation. Gnetum, a genus with ambiguous phylogenetic placement in seed plants, has a distinct stomatal structure and photosynthetic characteristics. In this study, a full-length transcriptome of Gnetum luofuense leaves at different developmental stages was sequenced with the latest PacBio Sequel platform. After correction by short reads generated by Illumina RNA-Seq, 80,496 full-length transcripts were obtained, of which 5269 reads were identified as isoforms of novel genes. Additionally, 1660 lncRNAs and 12,998 AS events were detected. In total, 5647 genes in the G. luofuense leaves had APA featured by at least one poly(A) site. Moreover, 67 and 30 genes from the bHLH gene family, which play an important role in stomatal development and photosynthesis, were identified from the G. luofuense genome and leaf transcripts, respectively. This leaf transcriptome supplements the reference genome of G. luofuense, and the AS events and lncRNAs detected provide valuable resources for future studies of investigating low photosynthetic capacity of Gnetum.

Ecosystem services play a crucial role in maintaining ecological balance, providing essential functions. This study examines the trade-offs and synergies among five key ecosystem services in ecological forests across different regions of Hunan Province, China. Various machine learning models are compared to predict ecosystem service value (ESV) levels, with the most effective predictive model identified. The SHAP (SHapley Additive exPlanations) analysis is employed to identify key environmental and management factors influencing ecosystem services. Our findings reveal significant regional variations in ecosystem services, with the eastern and western regions showing superior soil conservation and forest nutrient retention. In contrast, the southern and western regions, particularly karst areas, display fewer trade-offs between ecosystem services, likely due to the effectiveness of ecological policies. SHAP analysis further reveals that factors such as precipitation during the warmest quarter, central government compensation funds, and timber harvesting volume strongly influence regional ESV. This study provides valuable insights for improving ecosystem service management and policy-making in rapidly developing regions, underscoring the importance of ecological protection strategies for sustainable development.