Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Distinct subcellular localization of tRNA-derived fragments in the infective metacyclic forms of Trypanosoma cruzi

Small non-coding RNAs derived from transfer RNAs have been identified as a broadly conserved prokaryotic and eukaryotic response to stress. Their presence coincides with changes in developmental state associated with gene expression regulation. In the epimastigote form of Trypanosoma cruzi, tRNA fragments localize to posterior cytoplasmic granules. In the infective metacyclic form of the parasite, we found tRNA-derived fragments to be abundant and evenly distributed within the cytoplasm. The fragments were not associated with polysomes, suggesting that the tRNA-derived fragments may not be directly involved in translation control in metacyclics