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Bird song is commonly seen as a male trait that plays a role in female attraction, but its origin and prevalence in females are unknown. Here, Odom et al.show that female song is widespread and that it was present in the common ancestor of modern songbirds.

Ecogeographic rules link spatial patterns in phenotype and environment, potentially reflecting adaptation. This study identifies nine genes associated with body mass variation in song sparrow populations, supporting Bergmann’s Rule and highlighting the role of natural selection in local adaptation.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Here authors show loss of AKAP11, a strong genetic risk factor for bipolar disorder and schizophrenia, disrupts PKA proteostasis and signaling, leading to widespread transcriptomic alterations across the brain, particularly in striatal neurons, as well as altered behavior.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

Here the authors report the synthesis of defect-rich boron nitride by flux reconstruction method, which exhibited good reactivity for semihydrogenation of low concentration acetylene in ethylene-abundant gas stream.

Antimicrobial resistance genes that have been mobilized between bacterial species represent a subset of the naturally occurring resistome. Here, the authors compare the abundance, diversity and geographical patterns of acquired resistance genes with latent resistance genes in global sewage metagenomes.

Single cell analysis of histologic variant bladder tumors detects a shared CA125+ tumor cell state associated with aggressive clinical features and reveals enriched expression of TM4SF1, a membrane protein that can be targeted with CAR T cells.

The benefits and risks of nature to human health have been studied, however, robust empirical research on forest biodiversity and health outcomes is still lacking. Here the authors use a unique dataset from 164 European forest stands to explore the associations between forest types and well-being.

Efficient electro-optic conversion is central to photonic computing, and thin-film lithium niobate (TFLN) offers this capability. Here, the authors demonstrate computing circuits on the TFLN platform, enabling the next generation of photonic computing systems featuring both high-speed and low-power.

Machine learning predicts Cu-Al electrocatalysts provide better efficiency and productivity than copper when using intermittent renewable electricity to convert carbon dioxide to useful chemicals and fuels.

Swanton and colleagues present a clonal expression signature, ORACLE, which, in combination with clinicopathological and molecular risk factors, can predict survival of patients with lung adenocarcinoma, and they prospectively validate its prognostic value.

Weak value amplification in a compact format can lead to improved measurement capabilities in practical applications. Here the authors demonstrate weak value amplification in an integrated photonic chip with a multimode interferometer.

Many cities in the US self-report greenhouse gas emissions. Here, the authors find that US cities under-report their own greenhouse gas emissions, on average, by 18.3% because city inventories omit some fuels and source types and estimate transportation emissions differently.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

Despite having many similarities with graphene, single-layer boron nitride has a very large bandgap. Now, single-layer hybrids consisting of a blend of domains of boron nitride and graphene have been synthesized. By varying the percentage of boron nitride it is possible to tune the electronic properties, which is a very promising development for potential devices.

Aggregates of misfolded proteins are sequestered in the aggresome via dynein transport in an aggregate size-dependent manner. Here, authors find episodic transport kinetics mediated by aggresome-dynein adapters are central to this size-filter effect.

This overview of the ENCODE project outlines the data accumulated so far, revealing that 80% of the human genome now has at least one biochemical function assigned to it; the newly identified functional elements should aid the interpretation of results of genome-wide association studies, as many correspond to sites of association with human disease.

Large genome-wide meta-analysis of clinically diagnosed late-onset Alzheimer’s disease (LOAD) from 94,437 individuals identifies new LOAD risk loci and implicates Aβ formation, tau protein binding, immune response and lipid metabolism.

Jayavelu, Samaha et al., apply machine learning models on hospital admission data, including antibody titers and viral load, to identify patients at high risk for Long COVID. Low antibody levels, high viral loads, chronic diseases, and female sex are key predictors, supporting early, targeted interventions.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

A high-bandwidth neuromotor interface offers performant out-of-the-box generalization across people.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

The reciprocal interaction between genetic and cultural evolution is well recognised in humans. Here, Whitehead and colleagues review the growing body of evidence that culture is also a major driver of both neutral and adaptive genetic evolution in non-human animals.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

Retrieving interactions between RNA-binding proteins (RBPs) and RNA in endogenous biological contexts remains challenging. Here, the authors develop INSCRIBE (IN situ Sensitive Capture of RNA-protein Interactions in Biological Environments), which enables highly specific RNA-binding site identification across diverse biological samples.

Using large-scale mobility data from diverse cities around the globe, a simple and robust scaling law that captures the temporal and spatial range of population movement is revealed.

DNA molecules can be programmed to autonomously carry out supervised learning in vitro, with the system learning to perform pattern classification from molecular examples of inputs and desired responses.

Meta-analysis of 36,760 cases and 375,188 controls identifies 54 loci associated with susceptibility to cutaneous melanoma. Further analysis combining nevus count and hair color GWAS results provide insights into the genetic architecture of melanoma.

In an individual-participant meta-analysis, including intensive longitudinal studies, Kuehn et al. find support for the hypothesis that self-injurious thoughts and behaviours are negatively reinforced by relief from negative affect.

Lymphocytes encounter fluctuations in nutrient availability at sites of infection and inflammation. Wang et al. report that inosine can fulfil the metabolic needs of glucose-restricted anti-tumour effector CD8⁺ T cells.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.