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Cortical networks switch from asynchronous firing to sudden synchronized population events. Here, the authors show that differential excitatory short-term synaptic plasticity onto either excitatory or inhibitory targets establishes and shapes the dynamics of these population events.

A controlled greenhouse study that manipulated the presence of both ectomycorrhizal fungi and arbuscular mycorrhizal fungi at a range of conspecific and heterospecific plant competitor densities shows that arbuscular mycorrhizal fungi promote plant species coexistence by equalizing fitness differences and stabilizing competition.

Here, the authors develop hydrocarbon-stapled paxillin-mimetic peptides that act as selective and potent focal adhesion kinase (FAK) scaffold inhibitors to displace FAK from focal adhesions. Treatment shows reduced cancer cell survival in vitro and reduced tumor burden in vivo.

Genotype and exome sequencing of 150,000 participants and whole-genome sequencing of 9,950 selected individuals recruited into the Mexico City Prospective Study constitute a valuable, publicly available resource of non-European sequencing data.

Sepsis is a global challenge and a significant burden in Sub-Saharan Africa. Here, Chenoweth et al profile host gene expression signatures from a cohort in Ghana to define molecular phenotypes and identify potential targets to improve patient outcomes.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

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.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

Guccione and colleagues identify and characterize a sorafenib derivative, WNTinib, with therapeutic efficacy in β-catenin-mutated hepatocellular carcinoma and identify EZH2 as important for the activity of the inhibitor.

Machine-learning algorithms trained on 25,000 geolocated soil samples are used to create high-resolution global maps of mycorrhizal fungi, revealing that less than 10% of their biodiversity hotspots are in protected areas.

The authors develop a climate risk index for marine species under two emission scenarios and find that exploited species in low-income countries have the greatest risk under the high emissions scenario. Mitigating emissions reduces risks, enhances ecosystem stability and benefits low-income countries that depend on fisheries.

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.

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.

Antarctic ice cap discovered to be home to huge (6% of the currently mapped area identified as terrestrial photosynthetic life in Antarctica) and unique photosynthetic microbe community but their darker colour on the surface is likely to make the snow and ice melt faster.

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.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

A multinational randomized trial shows that task-sharing via nonspecialist providers and the use of telemedicine platforms, delivery models that can overcome barriers to scalability and access, are noninferior to specialists and in-person models for treating perinatal depression.

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.

Multisystem inflammatory syndrome in children (MIS-C) onsets in COVID-19 patients with manifestations similar to Kawasaki disease (KD). Here the author probe the peripheral blood transcriptome of MIS-C patients to find signatures related to natural killer (NK) cell activation and CD8+ T cell exhaustion that are shared with KD patients.

Protection afforded by inorganic minerals is assumed to make mineral-associated organic carbon less susceptible to loss under climate change than particulate organic carbon. However, a global study of soil organic carbon from drylands suggests that this is not the case.

Analysis of 20 chemical and morphological plant traits at diverse sites across 6 continents shows that the transition from semi-arid to arid zones is associated with an unexpected 88% increase in trait diversity.

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

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.

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.

Huntington’s disease (HD) results from the abnormal expansion of CAG repeats in exon 1 of the HTT gene. Here, the authors show that orally available, brain penetrant molecule branaplam lowers HTT transcript by promoting inclusion of a poison exon or pseudoexon.

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.

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.

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.

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.

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.

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.

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.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

Climate change is exposing marine species to unsuitable temperatures while also creating new thermal opportunities of varying persistence. Here, the authors examine how the interplay between these processes varies over time, demonstrating the potential of thermal opportunities to drive marine biodiversity changes, especially in the near and mid-term.

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.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

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.

In global drylands, soils tend to be more fertile beneath tree, shrub and grass islands. Soil fertility was greater beneath taller and wider plants but was unaffected by either grazing pressure or the type of herbivore.

The authors summarize the data produced by phase III of the Encyclopedia of DNA Elements (ENCODE) project, a resource for better understanding of the human and mouse genomes.

The engagement of immunological memory is a key component to the protective anti-SARS-CoV-2 B and T cell responses. Here the authors assess the B and T cells of a cohort of UK healthcare workers in response to infection and longitudinally track the compartment showing distinct trajectories following early priming.

Several mosquito-transmitted viruses cocirculate in the Americas, but the potential for co-transmission is unknown. Here, Rückertet al. show that Aedes aegyptimosquitos have the potential to co-transmit chikungunya, dengue and Zika viruses and that coinfection does not overall affect dissemination or transmission rates.