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Author Correction: Dense sampling of bird diversity increases power of comparative genomics.

ABSTRACT:

SUBMITTER: Feng S

PROVIDER: S-EPMC8081657 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Dense sampling of bird diversity increases power of comparative genomics.

Project description:Whole-genome sequencing projects are increasingly populating the tree of life and characterizing biodiversity1-4. Sparse taxon sampling has previously been proposed to confound phylogenetic inference5, and captures only a fraction of the genomic diversity. Here we report a substantial step towards the dense representation of avian phylogenetic and molecular diversity, by analysing 363 genomes from 92.4% of bird families-including 267 newly sequenced genomes produced for phase II of the Bird 10,000 Genomes (B10K) Project. We use this comparative genome dataset in combination with a pipeline that leverages a reference-free whole-genome alignment to identify orthologous regions in greater numbers than has previously been possible and to recognize genomic novelties in particular bird lineages. The densely sampled alignment provides a single-base-pair map of selection, has more than doubled the fraction of bases that are confidently predicted to be under conservation and reveals extensive patterns of weak selection in predominantly non-coding DNA. Our results demonstrate that increasing the diversity of genomes used in comparative studies can reveal more shared and lineage-specific variation, and improve the investigation of genomic characteristics. We anticipate that this genomic resource will offer new perspectives on evolutionary processes in cross-species comparative analyses and assist in efforts to conserve species.

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Author Correction: Environmental variability supports chimpanzee behavioural diversity.

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Author Correction: Comparative genomic analysis of eutherian connexin genes.

Project description:An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Correction: Comparative Genomics of Emerging Human Ehrlichiosis Agents

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Subtree power analysis and species selection for comparative genomics.

Project description:Sequence comparison across multiple organisms aids in the detection of regions under selection. However, resource limitations require a prioritization of genomes to be sequenced. This prioritization should be grounded in two considerations: the lineal scope encompassing the biological phenomena of interest, and the optimal species within that scope for detecting functional elements. We introduce a statistical framework for optimal species subset selection, based on maximizing power to detect conserved sites. Analysis of a phylogenetic star topology shows theoretically that the optimal species subset is not in general the most evolutionarily diverged subset. We then demonstrate this finding empirically in a study of vertebrate species. Our results suggest that marsupials are prime sequencing candidates.

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Author Correction: Diversity in gut bacterial community of school-age children in Asia.

Project description:A correction has been published and is appended to both the HTML and PDF versions of this paper. The error has not been fixed in the paper.

| S-EPMC6484003 | biostudies-literature

Mixed model with correction for case-control ascertainment increases association power.

Project description:We introduce a liability-threshold mixed linear model (LTMLM) association statistic for case-control studies and show that it has a well-controlled false-positive rate and more power than existing mixed-model methods for diseases with low prevalence. Existing mixed-model methods suffer a loss in power under case-control ascertainment, but no solution has been proposed. Here, we solve this problem by using a χ(2) score statistic computed from posterior mean liabilities (PMLs) under the liability-threshold model. Each individual's PML is conditional not only on that individual's case-control status but also on every individual's case-control status and the genetic relationship matrix (GRM) obtained from the data. The PMLs are estimated with a multivariate Gibbs sampler; the liability-scale phenotypic covariance matrix is based on the GRM, and a heritability parameter is estimated via Haseman-Elston regression on case-control phenotypes and then transformed to the liability scale. In simulations of unrelated individuals, the LTMLM statistic was correctly calibrated and achieved higher power than existing mixed-model methods for diseases with low prevalence, and the magnitude of the improvement depended on sample size and severity of case-control ascertainment. In a Wellcome Trust Case Control Consortium 2 multiple sclerosis dataset with >10,000 samples, LTMLM was correctly calibrated and attained a 4.3% improvement (p = 0.005) in χ(2) statistics over existing mixed-model methods at 75 known associated SNPs, consistent with simulations. Larger increases in power are expected at larger sample sizes. In conclusion, case-control studies of diseases with low prevalence can achieve power higher than that in existing mixed-model methods.

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Author Correction: Culex pipiens crossing type diversity is governed by an amplified and polymorphic operon of Wolbachia.

Project description:In the originally published HTML and PDF versions of this Article, gel images in Figures 7c and 8c were not prepared as per the Nature journal policy. These figure panels have now been corrected in both the PDF and HTML versions of the Article.In Fig. 7c, the lane labelled 'Ha' was inappropriately duplicated to represent the lane labelled 'Ich13'. The corrected version of Fig. 7c includes PCR-RFLP on DNA from the Ichkeul 13 line, which had been run on a separate gel. The original unprocessed gel images are provided in Supplementary Figure 1 associated with this correction, with the relevant corresponding bands denoted. A repeat experiment of the PCR-RFLP test is also presented as Supplementary Figure 2.In Fig. 8c, the image was assembled from two separate gels without clear demarcation. The corrected Fig. 8c clearly separates lanes from the two gels, and the original unprocessed gel images are provided in the Supplementary Information associated with this correction.These corrections do not alter the original meaning of the experiments, their results, their interpretation, or the conclusions of the paper. We apologize for any confusion this may have caused to the readers of Nature Communications.

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