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Biomedical subjects

Chao Feng

Publications and source records attributed to Chao Feng.

3 recordsLinked to original sources

Population history rather than tree age contributes to the evolutionary importance of ancient trees in an endangered conifer.

Ancient trees are in global decline and face increasing conservation challenges. Their exceptional longevity has fostered the view that they are genetic reservoirs, yet whether old age is synonymous with unique genetic variation remains unclear. Here we assembled a ~8-Gb chromosome-level reference genome for the critically endangered conifer Glyptostrobus pensilis, now largely restricted to southern China with scattered populations in Vietnam and Laos, and resequenced 147 individuals, including 64 ancient (>100 years old and persisting in human-dominated landscapes), 33 wild and 50 recently cultivated individuals. Ancient individuals comprised both likely natural relics and historically introduced individuals and formed two deeply divergent lineages and one ancestral-admixed group, each with distinct demographic histories of prolonged contraction and genomic erosion. Lineage identity explained more variation in genome-wide diversity, inbreeding and genetic load than the three conservation types, despite broad differences in age structure. Rare-allele analyses revealed pronounced heterogeneity among ancient trees: only relic and ancestral-origin individuals from high-diversity lineages contributed substantial unique variation, much of which is poorly represented in wild and cultivated populations. Together, our findings suggest that ancient trees are not uniformly genetically irreplaceable and that, at least in this conifer, evolutionary importance is shaped more strongly by population history than by age alone.

Endangered Species

Primulina pan-genome reveals differential gene retention following whole-genome duplications and provides insights into edaphic specialization.

Primulina, a genus of >200 species specialized to extreme soils, provides a model for edaphic adaptation. We assemble seven genomes and construct a pan-genome spanning nine species from karst, Danxia, and acidic soils. Comparative analyses reveal that karst-adapted species have smaller genomes. Two lineage-specific whole-genome duplications (WGDs) exhibit biased duplicate loss in large gene families but preferential retention of transcription factors, indicating combined adaptive and nonadaptive forces. Pan-genome analyses identify ion channel and transporter genes enriched in variant hotspots and under positive selection in karst lineages. Candidate genes for drought and salt stress tolerance include ABC transporters and ion channels. Notably, an ABC transporter shows positive selection in karst species and unique structural variation in non-karst species. Together, our findings show that genome downsizing, biased post-WGD retention, and evolution of ion-transport pathways shape adaptation to extreme soils. The Primulina pan-genome provides a resource for dissecting mechanisms underlying edaphic specialization.

Gene Duplication

Near-complete reference genome assembly of Hoya carnosa.

Hoya R. Br. is the largest genus in the tribe Marsdenieae (Apocynaceae), comprising 350-450 species. Hoya species are popular in horticulture for their distinctive floral traits and fragrances, primarily sourced from domestication and mutation breeding. However, the lack of molecular analysis for floral morphological traits has limited their cultivation and application. In this study, we assembled a near-complete reference genome for H. carnosa, the model species of the genus, using PacBio HiFi reads and Hi-C method. The genome size was approximately 465.7 Mb with a contig N50 of 39.3 Mb. 99.7% of the sequences were anchored to 11 pseudochromosomes, and the assembly achieved a BUSCO score of 98.5%. We predicted 24,309 protein-coding genes, of which 90.2% (21,927) were functionally annotated. This high-quality genome provides a valuable reference for the research of evolution, conservation and molecular breeding in Hoya.

Genome, Plant