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Octopus insularis is a shallow‐water octopus distributed throughout the western Atlantic, the Gulf of Mexico and the Caribbean. To evaluate its phylogeographic pattern, mitochondrial markers (16S rRNA and COIII) and genome‐wide nuclear markers (SNP's) were analyzed in individuals from artisanal fishing in different locations of the Colombian Caribbean coast. Mitochondrial analyzes displayed novel haplotypes (16S = H2, H3 and H4; COIII = H2–H7) and haplotypes shared with distant geographic areas (16S = H1 COIII = H1). The COIII gene did not show genetic differentiation between the analyzed localities, while the 16S gene showed significant differences between Santa Marta and Isla Fuerte. COIII's demographic analysis indicated that the species' effective population size has remained constant. Inferences were made from next‐generation genomic data with restriction site‐associated DNA (ddRAD‐seq) and 6769 polymorphic loci. The pairwise FST test indicated that there are low but significant differences between localities; however, the general molecular analysis of variance (AMOVA) and the principal coordinate analysis showed a lack of spatial structure in the populations analyzed. The Mantel test found no correlation between genetic distance and geographic distance, and the genetic structure analyses showed the presence of one genetic stock. The information obtained in this study indicates the genetic connectivity of O. insularis in the southwestern Caribbean, the absence of putative biogeographic barriers that affect its gene flow, and the crucial role played by life history strategies (planktonic paralarvae) and oceanographic factors to define the current distribution of its genetic diversity in this region. [ABSTRACT FROM AUTHOR]

Climate change has physiological consequences on organisms, ecosystems and human societies, surpassing the pace of organismal adaptation. Hibernating mammals are particularly vulnerable as winter survival is determined by short-term physiological changes triggered by temperature. In these animals, winter temperatures cannot surpass a certain threshold, above which hibernators arouse from torpor, increasing several fold their energy needs when food is unavailable. Here, we parameterized a numerical model predicting energy consumption in heterothermic species and modelled winter survival at different climate change scenarios. As a model species, we used the arboreal marsupial monito del monte (genus Dromiciops), which is recognized as one of the few South American hibernators. We modelled four climate change scenarios (from optimistic to pessimistic) based on IPCC projections, predicting that northern and coastal populations (Dromiciops bozinovici) will decline because the minimum number of cold days needed to survive the winter will not be attained. These populations are also the most affected by habitat fragmentation and changes in land use. Conversely, Andean and other highland populations, in cooler environments, are predicted to persist and thrive. Given the widespread presence of hibernating mammals around the world, models based on simple physiological parameters, such as this one, are becoming essential for predicting species responses to warming in the short term. [ABSTRACT FROM AUTHOR]

The small South American marsupial, Dromiciops gliroides, known as the missing link between the American and the Australian marsupials, is one of the few South American mammals known to hibernate. Expressing both daily torpor and seasonal hibernation, this species may provide crucial information about the mechanisms and the evolutionary origins of marsupial hibernation. Here, we compared torpid and active individuals, applying high‐throughput sequencing technologies (RNA‐seq) to profile gene expression in three D. gliroides tissues and determine whether hibernation induces tissue‐specific differential gene expression. We found 566 transcripts that were significantly up‐regulated during hibernation (369 in brain, 147 in liver and 50 in skeletal muscle) and 339 that were down‐regulated (225 in brain, 79 in liver and 35 in muscle). The proteins encoded by these differentially expressed genes orchestrate multiple metabolic changes during hibernation, such as inhibition of angiogenesis, prevention of muscle disuse atrophy, fuel switch from carbohydrate to lipid metabolism, protection against reactive oxygen species and repair of damaged DNA. According to the global enrichment analysis, brain cells seem to differentially regulate a complex array of biological functions (e.g., cold sensitivity, circadian perception, stress response), whereas liver and muscle cells prioritize fuel switch and heat production for rewarming. Interestingly, transcripts of thioredoxin‐interacting protein (TXNIP), a potent antioxidant, were significantly over‐expressed during torpor in all three tissues. These results suggest that marsupial hibernation is a controlled process where selected metabolic pathways show adaptive modulation that can help to maintain homeostasis and enhance cytoprotection in the hypometabolic state. [ABSTRACT FROM AUTHOR]

Abstract: There have been over 25 independent unicellular to multicellular evolutionary transitions, which have been transformational in the complexity of life. All of these transitions likely occurred in communities numerically dominated by unicellular organisms, mostly bacteria. Hence, it is reasonable to expect that bacteria were involved in generating the ecological conditions that promoted the stability and proliferation of the first multicellular forms as protective units. In this study, we addressed this problem by analyzing the occurrence of multicellularity in an experimental phylogeny of yeasts (Sacharomyces cerevisiae) a model organism that is unicellular but can generate multicellular clusters under some conditions. We exposed a single ancestral population to periodic divergences, coevolving with a cocktail of environmental bacteria that were inoculated to the environment of the ancestor, and compared to a control (no bacteria). We quantified culturable microorganisms to the level of genera, finding up to 20 taxa (all bacteria) that competed with the yeasts during diversification. After 600 generations of coevolution, the yeasts produced two types of multicellular clusters: clonal and aggregative. Whereas clonal clusters were present in both treatments, aggregative clusters were only present under the bacteria treatment and showed significant phylogenetic signal. However, clonal clusters showed different properties if bacteria were present as follows: They were more abundant and significantly smaller than in the control. These results indicate that bacteria are important modulators of the occurrence of multicellularity, providing support to the idea that they generated the ecological conditions‐promoting multicellularity. [ABSTRACT FROM AUTHOR]