Guishuang Li

TL;DR: Wang et al. as discussed by the authors reported the results of a study on the habitat distribution of C. officinalis using maximum entropy (Maxent) modeling and fuzzy logics together with loganin content and environmental variables.

TL;DR: Wang et al. as mentioned in this paper reported a new approach to predict potential suitable cultivation regions and to explore the key environmental factors affecting the content of active ingredients in S. baicalensis using integrated Maxent (maximum entropy) modeling and fuzzy logics.

TL;DR: A systematic analysis on the effects of growth years and post-harvest processing on the contents of medicinal active ingredients of S. baicalensis showed that the best harvesting period should be determined as 2–3 years based on comprehensive evaluation of active ingredient content, annual yield increment, and land use efficiency.

TL;DR: This study revealed the climate-change-driven habitat shifts of six endangered wetland plants and found that the six species exhibited three different patterns of habitat shifts including decrease, unstable, and increase, highlighting the importance of combining multiple environmental factors including temperature and precipitation for understanding plant responses to climate change.

TL;DR: This study conducted de novo transcriptome analysis of S. viscidula and revealed 177 genes relating to flavonoid biosynthesis, where 23 key enzyme-encoding genes including CHS, CHI, F3H, PAL, and 4CL were annotated, and investigated the dynamic expression of SvCHS, SvCHI, SvF3h, SvMYB2, and SvbHLH of stem, root, and leaf of S.