Rob Knight

Bio: Rob Knight is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Microbiome & Gut flora. The author has an hindex of 201, co-authored 1061 publications receiving 253207 citations. Previous affiliations of Rob Knight include Anschutz Medical Campus & University of Sydney.

Erratum to: Diet Versus Phylogeny: a Comparison of Gut Microbiota in Captive Colobine Monkey Species.

Abstract: 1 Microbiome Program, Mayo Clinic, 200 First St. SW, Rochester, MN 55905, USA 2 LVDI International, San Marcos, CA 92078, USA 3 Fanjingshan National Nature Reserve Administration, Tongren, China 4 Department of Life Sciences and Systems Biology, University of Turin, 10123 Turin, Italy 5 Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA 6 Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA 92093, USA 7 Zhejiang Institute of Microbiology, Hangzhou, Zhejiang, China 8 Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing 100044, China 9 Department of Anthropology, Northwestern University, Evanston, IL 60208, USA Microb Ecol (2018) 75:528 DOI 10.1007/s00248-017-1070-3

Multiplex growth rate phenotyping of synthetic mutants in selection to engineer glucose and xylose co-utilization in Escherichia coli.

Abstract: Engineering the simultaneous consumption of glucose and xylose sugars is critical to enable the sustainable production of biofuels from lignocellulosic biomass. In most major industrial microorganisms glucose completely inhibits the uptake of xylose, limiting efficient sugar mixture conversion. In E. coli removal of the major glucose transporter PTS allows for glucose and xylose co-consumption but only after prolonged adaptation, which is an effective process but hard to control and prone to co-evolving undesired traits. Here we synthetically engineer mutants to target sugar co-consumption properties; we subject a PTS- mutant to a short adaptive step and subsequently either delete or overexpress key genes previously suggested to affect sugar consumption. Screening the co-consumption properties of these mutants individually is very laborious. We show we can evaluate sugar co-consumption properties in parallel by culturing the mutants in selection and applying a novel approach that computes mutant growth rates in selection using chromosomal barcode counts obtained from Next-Generation Sequencing. We validate this multiplex growth rate phenotyping approach with individual mutant pure cultures, identify new instances of mutants cross-feeding on metabolic byproducts, and, importantly, find that the rates of glucose and xylose co-consumption can be tuned by altering glucokinase expression in our PTS- background. Biotechnol. Bioeng. 2017;114: 885-893. © 2016 Wiley Periodicals, Inc.

Expanding magnetic organelle biogenesis in the domain Bacteria

Abstract: The discovery of membrane-enclosed, metabolically functional organelles in Bacteria and Archaea has transformed our understanding of the subcellular complexity of prokaryotic cells. However, whether prokaryotic organelles emerged early or late in evolutionary history remains unclear and limits understanding of the nature and cellular complexity of early life. Biomineralization of magnetic nanoparticles within magnetosomes by magnetotactic bacteria (MTB) is a fascinating example of prokaryotic organelles. Here, we reconstruct 168 metagenome-assembled MTB genomes from various aquatic environments and waterlogged soils. These genomes represent nearly a 3-fold increase over the number currently available, and more than double the known MTB species. Phylogenomic analysis reveals that these newly described genomes belong to 13 Bacterial phyla, six of which were previously not known to include MTB. These findings indicate a much wider taxonomic distribution of magnetosome organelle biogenesis across the domain Bacteria than previously thought. Comparative genome analysis reveals a vast diversity of magnetosome gene clusters involved in magnetosomal biogenesis in terms of gene content and synteny residing in distinct taxonomic lineages. These gene clusters therefore represent a promising, diverse genetic resource for biosynthesizing novel magnetic nanoparticles. Finally, our phylogenetic analyses of the core magnetosome proteins in this largest available and taxonomically diverse dataset support an unexpectedly early evolutionary origin of magnetosome biomineralization, likely ancestral to the origin of the domain Bacteria. These findings emphasize the potential biological significance of prokaryotic organelles on the early Earth and have important implications for our understanding of the evolutionary history of cellular complexity.

Structural Reforms and Legislative Immobilism: The Fox Sexenio

Abstract: The Mexican Congress failed to pass structural reforms during the administration of Vicente Fox (2000-2006). This was the case despite evidence of an otherwise productive legislature. This paper contributes to the literature seeking to explain the failure to enact such reforms during this period. A bi-dimensional issue environment is found to be an important explanation for this case of immobilism. While this argument is not novel, its application to Mexico’s multiparty legislature with moderately high levels of party unity necessitates an analysis of coalition formation appropriate to Mexico’s institutional and political arrangements. Statistical analysis of roll-call data is utilized. The only floor-vote in the Chamber of Deputies during the Fox Sexenio (six-year presidential term) that proposed real structural reform is discussed in light of its bi-dimensional characteristics. Interviews with legislators are also utilized to support the bi-dimensional argument. The results of this study contribute both to explaining the failure of structural reforms in Mexico during the Fox Sexenio and to the broader comparative debate on the relative influences of social-structural, agential and institutional factors on policy outcomes. The findings highlight the importance of intra-chamber political conditions and skillful leadership for decisive legislative action. The paper concludes with a discussion of the Calderon administration’s somewhat more successful efforts in working with Congress to enact structural reforms.

Systems analysis reveals ageing-related perturbations in retinoids and sex hormones in Alzheimer's and Parkinson's diseases

Abstract: Neurodegenerative diseases, including Alzheimer's (AD) and Parkinson's diseases (PD), are complex heterogeneous diseases with highly variable patient responses to treatment. Due to the growing evidence for ageing-related clinical and pathological commonalities between AD and PD, these diseases have recently been studied in tandem. In this study, we analysed transcriptomic data from AD and PD patients, and stratified these patients into three subclasses with distinct gene expression and metabolic profiles. Through integrating transcriptomic data with a genome-scale metabolic model and validating our findings by network exploration and co-analysis using a zebrafish ageing model, we identified retinoids as a key ageing-related feature in all subclasses of AD and PD. We also demonstrated that the dysregulation of androgen metabolism by three different independent mechanisms is a source of heterogeneity in AD and PD. Taken together, our work highlights the need for stratification of AD/PD patients and development of personalised and precision medicine approaches based on the detailed characterisation of these subclasses.

QIIME allows analysis of high-throughput community sequencing data.

Abstract: Supplementary Figure 1 Overview of the analysis pipeline. Supplementary Table 1 Details of conventionally raised and conventionalized mouse samples. Supplementary Discussion Expanded discussion of QIIME analyses presented in the main text; Sequencing of 16S rRNA gene amplicons; QIIME analysis notes; Expanded Figure 1 legend; Links to raw data and processed output from the runs with and without denoising.

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

Abstract: SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.

Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities

Abstract: mothur aims to be a comprehensive software package that allows users to use a single piece of software to analyze community sequence data. It builds upon previous tools to provide a flexible and powerful software package for analyzing sequencing data. As a case study, we used mothur to trim, screen, and align sequences; calculate distances; assign sequences to operational taxonomic units; and describe the alpha and beta diversity of eight marine samples previously characterized by pyrosequencing of 16S rRNA gene fragments. This analysis of more than 222,000 sequences was completed in less than 2 h with a laptop computer.

Search and clustering orders of magnitude faster than BLAST

Abstract: Motivation: Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification. Results: UBLAST and USEARCH are new algorithms enabling sensitive local and global search of large sequence databases at exceptionally high speeds. They are often orders of magnitude faster than BLAST in practical applications, though sensitivity to distant protein relationships is lower. UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters. UCLUST offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets. Availability: Binaries are available at no charge for non-commercial use at http://www.drive5.com/usearch Contact: [email protected] Supplementary information:Supplementary data are available at Bioinformatics online.