Distribution model and prediction of the tree fern Baker (Cyatheaceae) in China.

Climatic change is a challenge for plant conservation due to plants' limited dispersal abilities. The survival and sustainable development of plants directly depend on the availability of suitable habitats. In this study, we employed an optimized MaxEnt model to evaluate the relative contribution of each environmental variable and predict the suitable habitat for under past, current, and future periods, which is an endangered relict tree fern known as a living fossil.

Full-length transcriptome analysis of multiple organs and identification of adaptive genes and pathways in Mikania micrantha.

Mikania micrantha is a notorious invasive weed that has caused huge economic loss and negative ecological consequences in invaded areas. This species can adapt well to invasive environments with various stress factors. The identification of gene families and functional pathways related to environmental adaptability is lack in M.

Population Genomics Reveals Gene Flow and Adaptive Signature in Invasive Weed .

A long-standing and unresolved issue in invasion biology concerns the rapid adaptation of invaders to nonindigenous environments. is a notorious invasive weed that causes substantial economic losses and negative ecological consequences in southern China. However, the contributions of gene flow, environmental variables, and functional genes, all generally recognized as important factors driving invasive success, to its successful invasion of southern China are not fully understood.

Genome Survey Sequencing of In Vivo Mother Plant and In Vitro Plantlets of .

, the only native congener of the invasive weed in China, is an ideal species for comparative study to reveal the invasion mechanism. However, its genome resources are lagging far behind its congener, which limits the comparative genomic analysis. Our goal is to characterize the genome of by next-generation sequencing and propose a scheme for long-read genome sequencing.

Characterization and Application of EST-SSR Markers Developed From the Transcriptome of (Taxaceae), a Relict Vulnerable Conifer.

(Taxaceae) is a vulnerable coniferous species with preference for shade and moist environment. Accurate estimation of genetic variation is crucial for its conservation, especially in the context of global warming. In this study, we acquired a transcriptome from leaves using Illumina sequencing and assembled 62,896 unigenes, of which 5510 EST-SSRs were detected.