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Understanding the effects of past climatic fluctuations on the distribution and population-size dynamics of cold-adapted species is essential for predicting their responses to ongoing global climate change. In spite of the heterogeneity of cold-adapted species, two main contrasting hypotheses have been proposed to explain their responses to Late Quaternary glacial cycles, namely, the interglacial contraction versus the interglacial expansion hypotheses. Here, we use the cold-adapted plant Primula farinosa to test two demographic models under each of the two alternative hypotheses and a fifth, null model. We first approximate the time and extent of demographic contractions and expansions during the Late Quaternary by projecting species distribution models across the last 72 ka. We also generate genome-wide sequence data using a Reduced Representation Library approach to reconstruct the spatial structure, genetic diversity, and phylogenetic relationships of lineages within P. farinosa. Finally, by integrating the results of climatic and genomic analyses in an Approximate Bayesian Computation framework, we propose the most likely model for the extent and direction of population-size changes in $P$. farinosa through the Late Quaternary. Our results support the interglacial expansion of $P$. farinosa, differing from the prevailing paradigm that the observed distribution of cold-adapted species currently fragmented in high altitude and latitude regions reflects the consequences of postglacial contraction processes.
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http://dx.doi.org/10.1093/sysbio/syw114 | DOI Listing |
Front Plant Sci
November 2024
National Engineering Technology Research Center for Miao Medicine, Guizhou Engineering Technology Research Center for Processing and Preparation of Traditional Chinese Medicine and Ethnic Medicine, College of Pharmaceutical Sciences, Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Oliver is a medicinal plant of significant economic importance. Its cortex has been employed for centuries to alleviate various conditions such as lumbar pain, knee pain, and osteoporosis. Additionally, possesses substantial industrial value.
View Article and Find Full Text PDFMol Phylogenet Evol
November 2024
Department of Botany, University of Innsbruck, Sternwartestr. 15, 6020 Innsbruck, Austria. Electronic address:
Genome Res
November 2024
LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany;
Genomic resources are important for evaluating genetic diversity and supporting conservation efforts. The garden dormouse () is a small rodent that has experienced one of the most severe modern population declines in Europe. We present a high-quality haplotype-resolved reference genome for the garden dormouse, and combine comprehensive short and long-read transcriptomics data sets with homology-based methods to generate a highly complete gene annotation.
View Article and Find Full Text PDFFor Res (Fayettev)
March 2024
Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai 201602, China.
Environmental factors such as mountain tectonic movements and monsoons can enhance genetic differentiation by hindering inter- and intra-specific gene flow. However, the phylogeographic breaks detected within species may differ depending on the different molecular markers used, and biological traits may be a major confounding factor. is a vulnerable relict species distributed throughout the Sichuan Basin.
View Article and Find Full Text PDFEcol Evol
November 2024
School of Geography and Resources, Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed Guizhou Education University Guiyang China.
Climate change can significantly impact the ecological suitability and diversity of species. , a critically endangered species in China, requires a thorough understanding of its habitat distribution and the environmental factors that affect it in the context of climate change. The Maxent algorithm was used to examine the key factors influencing the distribution of in China, using data from 127 species occurrences and environmental variables from the Last Interglacial (LIG), Last Glacial Maximum (LGM), Mid-Holocene (MH), current, and future scenarios.
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