Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands.

Current estimates of wetland contributions to the global methane budget carry high uncertainty, particularly in accurately predicting emissions from high methane-emitting wetlands. Microorganisms drive methane cycling, but little is known about their conservation across wetlands. To address this, we integrate 16S rRNA amplicon datasets, metagenomes, metatranscriptomes, and annual methane flux data across 9 wetlands, creating the Multi-Omics for Understanding Climate Change (MUCC) v2.

Sexual selection promotes reproductive isolation in barn swallows.

Despite the well-known effects of sexual selection on phenotypes, links between this evolutionary process and reproductive isolation, genomic divergence, and speciation have been difficult to establish. We unravel the genetic basis of sexually selected plumage traits to investigate their effects on reproductive isolation in barn swallows. The genetic architecture of sexual traits is characterized by 12 loci on two autosomes and the Z chromosome.

Cognitive Behavioral Therapy Factors Related to Outcomes in Depression Among Youth with HIV.

Purpose: This is a secondary analysis of a multi-site, cluster (site) randomized trial of the efficacy of a combined Health and Wellness Cognitive Behavior Therapy (H&W CBT) and medication management approach for depression in youth with HIV (YWH) compared to standard care. In this study, we explored the association between H&W CBT factors and depression outcomes after 24 weeks of treatment to discover treatment elements associated with symptom reduction.

Methods: Participants (12-24 years of age) were YWH in the United States (US) diagnosed with moderate to severe depression [Quick Inventory of Depressive Symptomatology (QIDS), Clinician-Rated score ≥ 11].

Deep phenotyping the right ventricle to establish translational MRI biomarkers for characterization of adaptive and maladaptive states in pulmonary hypertension.

Deep phenotyping the right ventricle (RV) is essential for understanding the mechanisms of adaptive and maladaptive RV responses to pulmonary hypertension (PH). In this study, feature selection coupled with machine learning classification/ranking of specific cardiac magnetic resonance imaging (MRI) features from cine-MRI, flow-sensitized, and extracellular-volume techniques were used to assess RV remodelling in monocrotaline (MCT) and Sugen hypoxia (SuHx) PH rats. Early physiological changes associated with RV adaptation were detected along with prediction of RV maladaptive outcomes.