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Premise: The Caryophyllaceae (the carnation family) have undergone multiple transitions into colder climates and convergence on cushion plant adaptation, indicating that they may provide a natural system for cold adaptation research. Previous research has suggested that putative ancient whole-genome duplications (WGDs) are correlated with niche shifts into colder climates across the Caryophyllales. Here, we explored the genomic changes potentially involved in one of these discovered shifts in the Caryophyllaceae.
Methods: We constructed a data set combining 26 newly generated transcriptomes with 45 published transcriptomes, including 11 cushion plant species across seven genera. With this data set, we inferred a dated phylogeny for the Caryophyllaceae and mapped ancient WGDs and gene duplications onto the phylogeny. We also examined functional groups enriched for gene duplications related to the climatic shift.
Results: The ASTRAL topology was mostly congruent with the current consensus of relationships within the family. We inferred 15 putative ancient WGDs in the family, including eight that have not been previously published. The oldest ancient WGD (ca. 64.4-56.7 million years ago), WGD1, was found to be associated with a shift into colder climates by previous research. Gene regions associated with ubiquitination were overrepresented in gene duplications retained after WGD1 and those convergently retained by cushion plants in Colobanthus and Eremogone, along with other functional annotations.
Conclusions: Gene family expansions induced by ancient WGDs may have contributed to the shifts to cold climatic niches in the Caryophyllaceae. Transcriptomic data are crucial resources that help unravel heterogeneity in deep-time evolutionary patterns in plants.
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http://dx.doi.org/10.1002/ajb2.16350 | DOI Listing |
Mar Environ Res
August 2025
Marine Macroecology and Biogeography Lab, Universidade Federal de Santa Catarina, Brazil.
Transition zones exhibit a unique combination of abiotic characteristics derived from the merging of two distinct areas, hosting communities with different thermal tolerance and distribution ranges. Given these characteristics, these zones are key to unmasking the effects of climate change on biodiversity since rapid changes in the sea temperature can favor some populations more than others. This study aimed to investigate the community structure of reef fish in seven islands of the southwestern Atlantic in a transition zone.
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September 2025
School of Social Work, Columbia University, 1255 Amsterdam Ave, New York, NY, 10027, USA.
Climate change is a major global health threat with significant impacts on mental health, especially among vulnerable populations. Residents of informal settlements-characterized by inadequate infrastructure and housing-are particularly at risk due to their exposure to extreme weather and limited access to healthcare. This study investigates the association between experiences of extreme weather and mental health among women residing in two large informal settlements in Nairobi, Kenya.
View Article and Find Full Text PDFInsects
August 2025
Beijing Key Laboratory for Forest Pest Control, School of Forestry, Beijing Forestry University, Beijing 100083, China.
Global climate change is pushing insects into colder regions. Understanding their cold tolerance is important for predicting population dynamics. During overwintering, larvae activate the AMPK signaling pathway.
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August 2025
University of Arizona College of Medicine-Phoenix, Phoenix, Arizona, USA.
Introduction: Ambient temperature changes are hypothesized to affect migraine attacks, but few published primary articles assess such hypotheses. The authors examine the current germane literature and suggest further research.
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Sci Bull (Beijing)
July 2025
Climate Change and Carbon Neutrality Lab, Henan University, Zhengzhou 450046, China; Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, China; Faculty of Geographical Science and Engineering, Henan University, Zhengzhou 450046, China.
Rising frequency, intensity, and geographic scope of extreme heat profoundly impede global sustainable economic development. However, existing climate econometric models are limited in capturing the spatial processes through which extreme heat affects the global economy, often resulting in downward-biased estimates of total economic losses. This study develops a novel multi-scale spatio-temporal model that integrates classic multi-level modeling with spatial statistics, explicitly addressing key challenges faced by climate econometrics.
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