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Categories: Ecology: Nature, Mathematics: Modeling

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Elucidating the relationship between the sequences of non-coding regulatory elements and their target genes is key to understanding gene regulation and its variation between plant species and ecotypes. Now, an international research team developed deep learning models that link gene sequence data with mRNA copy number for several plant species and predicted the regulatory effect of gene sequence variation.

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Global biodiversity has declined between 2% and 11% during the 20th century due to land-use change alone, according to a large multi-model study. Projections show climate change could become the main driver of biodiversity decline by the mid-21st century.

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The results suggest that internal -- not external -- factors are the primary drivers of variation in the types of carbon yeasts can eat, and the researchers found no evidence that metabolic versatility, or the ability to eat different foods, comes with any trade-offs. In other words, some yeasts are jacks-of-all-trades and masters of each.

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Cichlid fishes exhibit differing degrees of curiosity. The cause for this lies in their genes, as reported by researchers. This trait influences the cichlids' ability to adapt to new habitats.

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In the boreal forest of Western Canada, researchers have considered that both changing climate and increased habitat alteration have enabled deer to push farther north.

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Researchers have published a comprehensive study on the invasion of lionfish in the Mediterranean Sea, highlighting a rapid spread and the potential ecological impacts. The research shows the lionfish species Pterois miles has significantly expanded its territory in the Mediterranean since the invasion began around ten years ago. The invasive species has established presence in the eastern Mediterranean, with observations now extending to colder waters previously thought to be unsuitable for the species.

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Scientists are using artificial intelligence software to analyze plant root systems, laying out a protocol that can be applied to gather data on crop and model plant phenotypes (physical characteristics) more efficiently and with equal or greater accuracy than existing methods.

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Cleveland Clinic researchers developed an artficial intelligence (AI) model that can determine the best combination and timeline to use when prescribing drugs to treat a bacterial infection, based solely on how quickly the bacteria grow given certain perturbations. PNAS recently published their findings.

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Many American companies are relying on carbon offsets to reduce their carbon footprint, especially those who have pledged to achieve 'net-zero emissions.' Sequestering carbon in forests is an example of a nature-based solution that is being used to address climate change, but a new study suggests that hurricanes could pose a risk. The results show that a single hurricane may wipe out 5% to 10% of total above-ground forest carbon, through tree damage, in New England.

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A groundbreaking study combined novel experimental data within an innovative modeling framework to examine how temperature might affect transmission risk of malaria in different environments in Africa.

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Researchers found that forests with higher trait diversity not only adapt better to climate change but may also thrive. The study unveiled how tree functional trait diversity plays a pivotal role in mitigating climate warming. In the face of environmental stress, these diverse trees have been shown to maintain higher productivity levels, in contrast to monoculture forests.

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A new study sheds light on how parasites, often overlooked, can dramatically affect the balance between predator and prey populations. Researchers developed a groundbreaking mathematical framework that predicts when predators, prey, and parasites can coexist, considering factors like random fluctuations and parasite effects on both populations. This research provides a valuable tool for conservation by helping predict how parasites influence ecosystem resilience and informing strategies to protect vulnerable species.

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Bioluminescence first evolved in animals at least 540 million years ago in a group of marine invertebrates called octocorals, according to the results of a new study. The study focuses on an ancient group of marine invertebrates that includes soft corals, pushes back the previous oldest dated example of trait by nearly 300 million years.

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The day a male spear squid hatches determines which mating tactic he will use throughout his life, according to new research. Spear squid (Heterololigo bleekeri) that hatch earlier in the season become 'consorts' which fight for mating opportunities. Those which hatch later become 'sneakers,' which use more clandestine mating tactics. Researchers found that the mating tactic determined by the birth date was fixed for the squid's whole life. Understanding how mating tactics are influenced by birth date, and the environmental conditions at that time, can help researchers consider how squid might be affected by climate change and the implications for marine resource management.

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When we think of evolution, we think of a process that happens over hundreds or thousands of years. In research recently published, a species of frog that has evolved over the course of merely 25 years. The adaptation was spurred on by something many assume is innocuous: salt.

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A study of shallow-water fish communities on rocky reefs in south-eastern Australia has found climate change is helping tropical fish species invade temperate Australian waters.

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Researchers have developed a method to use an image generation AI model to create realistic images of single cells, which are then used as 'synthetic data' to train an AI model to better carry out single-cell segmentation.

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A sensing technology that can assess the quality of components in fields such as aerospace could transform UK industry.

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Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke. It constitutes a significant burden to healthcare systems, making its early detection and treatment a major goal. Researchers have recently developed a deep-learning model capable of predicting the transition from a normal cardiac rhythm to atrial fibrillation. It gives early warnings on average 30 minutes before onset, with an accuracy of around 80%. These results pave the way for integration into wearable technologies, allowing early interventions and better patient outcomes.

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The study highlights the rapid progress and transformative potential of AI in weather prediction.