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Alarcon, R.

Publications and source records attributed to Alarcon, R..

3 recordsLinked to original sources

Climate-driven specialisation in plant-pollinator networks peaks outside the tropics

Pollination is a key ecological process sustaining biodiversity and food security, yet global patterns of plant-pollinator specialisation have remained unresolved. Using the largest global dataset of quantitative networks (>3,400 networks, >110,000 interactions), we show that the latitudinal specialisation gradient (LSG) exists, but it is non-linear, hemispherically asymmetric, and strongly taxon-dependent. Network-level and pollinator specialisation were lowest in the tropics and peaked at northern mid-latitudes, whereas plants tended to become more specialised toward higher latitudes. Climate consistently outperformed latitude, species richness, and environmental productivity as a predictor of these patterns. Specialisation declined with increasing temperature, rose with moderate rainfall before declining at the wettest sites, and increased with temperature seasonality, but plants and pollinators responded differently to these drivers. Functional groups diverged strongly: ectothermic insects were most specialised in cooler, seasonal climates, while birds showed weaker links to latitude but reduced specialisation in wetter regions. These findings demonstrate that climate, rather than latitude or species richness, structures global variation in specialisation. Because warmer and less seasonal climates promote generalisation, climate change is likely to disrupt the most specialised pollination systems, unevenly across taxa and regions, with important consequences for biodiversity and ecosystem stability.

ecology↗

ADAM-tRNA-seq: An Optimized Approach for Demultiplexing and Enhanced Hierarchal Mapping in Direct tRNA Sequencing

Transfer RNAs (tRNAs) play an essential role in protein synthesis and cellular homeostasis, with their dysregulation associated with various human pathologies. Recent advances in direct RNA sequencing by the Nanopore platform have enabled simultaneous profiling of tRNA abundance, modifications, and aminoacylation status. However, the high sequence similarity among tRNAs and the lack of robust demultiplexing strategies reduce the accuracy and limit the scalability of current approaches. Here, we developed ADAM-tRNA-seq, a framework that addresses two key limitations of the Nanopore-based direct tRNA sequencing. First, we develop an RNA-based barcode demultiplexing method, employing a barcode embedded within the sequencing adapter that is recognized by the Dorado basecaller. Second, we designed a hierarchy-based mapping strategy that mitigates read loss due to multimapping by classifying reads at the isodecoder, isoacceptor, or isotype levels, thereby enhancing quantification accuracy. We validated ADAM-tRNA-seq using both synthetic tRNAs and a complex human tRNA pool, and systematically optimized it to achieve up to 99% classification precision. Together, these developments enable more accurate, scalable, and comprehensive characterization of tRNA pools in diverse sample types.

biochemistry↗

MCT4 is a high affinity transporter capable of exporting lactate in high-lactate environments

MCT4 is an H+-coupled transporter expressed in metastatic cancer cells, macrophages, and other highly glycolytic cells, where it extrudes excess lactate generated by the Warburg phenomenon or by hypoxia. Intriguingly, its reported Km for lactate, obtained with pH-sensitive probes, is more than an order of magnitude higher than physiological lactate. Here we examined MCT4-rich MDA-MB-231 cells using the FRET sensor Laconic and found a median Km for lactate uptake of only 1.7 mM, while parallel estimation in the same cells with a pH probe gave a Km of 27 mM. The median Km of MCT4 for lactate was 0.7 mM in MCT4-expressing HEK293 cells and 1.2 mM in human macrophages, suggesting that high substrate affinity is a robust property of the transporter. Probed with the FRET sensor Pyronic, MCT4 showed a Km for pyruvate of only 4.2 mM in MDA-MB-231 cells, as opposed to > 150 mM reported previously. We conclude that prior estimates of MCT4 affinity based on pH probes were severely biased by the confounding action of pH regulatory mechanisms. Numerical simulation showed that MCT4, but not MCT1 or MCT2, endows cells with the capability of lactate extrusion in high lactate environments. The revised kinetic properties and novel transport assays may help in developing small-molecule MCT4 blockers for research and therapy.

physiology↗