Global biodiversity loss is a critical environmental crisis, yet the lack of spatial data on biodiversity threats has hindered conservation strategies. Theory predicts that abrupt biodiversity declines are most likely to occur when habitat availability is reduced to very low levels in the landscape (10-30%). Alternatively, recent evidence indicates that biodiversity is best conserved by minimizing human intrusion into intact and relatively unfragmented landscapes. Here we use recently available forest loss data to test deforestation effects on International Union for Conservation of Nature Red List categories of extinction risk for 19,432 vertebrate species worldwide. As expected, deforestation substantially increased the odds of a species being listed as threatened, undergoing recent upgrading to a higher threat category and exhibiting declining populations. More importantly, we show that these risks were disproportionately high in relatively intact landscapes; even minimal deforestation has had severe consequences for vertebrate biodiversity. We found little support for the alternative hypothesis that forest loss is most detrimental in already fragmented landscapes. Spatial analysis revealed high-risk hot spots in Borneo, the central Amazon and the Congo Basin. In these regions, our model predicts that 121-219 species will become threatened under current rates of forest loss over the next 30 years. Given that only 17.9% of these high-risk areas are formally protected and only 8.9% have strict protection, new large-scale conservation efforts to protect intact forests are necessary to slow deforestation rates and to avert a new wave of global extinctions.
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BMJ Glob Health
January 2025
Unit of HIV and Tuberculosis, Institute of Tropical Medicine Department of Clinical Sciences, Antwerpen, Belgium.
Introduction: The WHO endorsed the Xpert MTB/RIF (Xpert) technique since 2011 as initial test to diagnose rifampicin-resistant tuberculosis (RR-TB). No systematic review has quantified the proportion of pretreatment attrition in RR-TB patients diagnosed with Xpert in high TB burden countries.Pretreatment attrition for RR-TB represents the gap between patients diagnosed and those who effectively started anti-TB treatment regardless of the reasons (which include pretreatment mortality (death of a diagnosed RR-TB patient before starting adequate treatment) and/or pretreatment loss to follow-up (PTLFU) (drop-out of a diagnosed RR-TB patient before initiation of anti-TB treatment).
View Article and Find Full Text PDFDokl Biochem Biophys
January 2025
Voronezh State University, Voronezh, Russia.
Creation and long-term in vitro maintenance of valuable genotype collection is one of the modern approach to conservation of valuable gene pool of woody plants. However, during prolonged cultivation, genetic variability of cells and tissues may accumulate and lead to the loss of valuable characteristics of parental plants. It is therefore important to assess the genetic (including cytogenetic) stability of collection clones.
View Article and Find Full Text PDFJAMIA Open
February 2025
Institute for Informatics, Data Science and Biostatistics, Washington University, Saint Louis, MO 63110, United States.
Objective: Dimensionality reduction techniques aim to enhance the performance of machine learning (ML) models by reducing noise and mitigating overfitting. We sought to compare the effect of different dimensionality reduction methods for comorbidity features extracted from electronic health records (EHRs) on the performance of ML models for predicting the development of various sub-phenotypes in children with Neurofibromatosis type 1 (NF1).
Materials And Methods: EHR-derived data from pediatric subjects with a confirmed clinical diagnosis of NF1 were used to create 10 unique comorbidities code-derived feature sets by incorporating dimensionality reduction techniques using raw International Classification of Diseases codes, Clinical Classifications Software Refined, and Phecode mapping schemes.
BMC Plant Biol
January 2025
MOE Key Laboratory of Bioinformatics, Tsinghua-Peking Center for Life Science, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
Background: NITRATE TRANSPORTER 1.1 (NRT1.1) functions as a dual affinity nitrate transceptor regulated by phosphorylation at threonine residue 101 (T101).
View Article and Find Full Text PDFIn Vitro Cell Dev Biol Anim
January 2025
Aquatic Animal Health Laboratory, PG & Research Department of Zoology, C. Abdul Hakeem College, (Affiliated to Thiruvalluvar University), Melvisharam, Tamil Nadu, India.
Tilapia parvovirus (TiPV) is an emerging viral pathogen and responsible for severe economic loss in tilapia culture production. Lethargic, cutaneous haemorrhages; ocular lesions; discolouration of gill and cloudy eye and exophthalmia are common symptoms of TiPV. The TiPV-suspected tilapia fish were collected from grow-out ponds situated in different parts of Tamil Nadu, India, and screened for TiPV by PCR.
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