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Biology subjects

Newell, N.

Publications and source records attributed to Newell, N..

2 recordsLinked to original sources

Cryptic Insect Microbiome Compositions Unveiled with Full-Length 16S Sequencing

Insects have interconnected relationships with gut microorganisms which can have impacts on behavior and survival. Understanding foundational ecological principles of the insect-associated microorganisms is important to understand how insects utilize microbes to cope with stress and different environments. Common microbiome surveys of insect microbiomes utilize 16S rRNA sequencing of metagenomic DNA. For amplicon-based surveys of insect microbiome, fragment length and 16S rRNA subunit choice may have unintended biases, and some primer combinations may under-represent genus or species richness. Contemporary solutions target sequencing of the entire 16S rRNA fragment. Here, we illustrate the benefit of full-length 16S rRNA sequencing in improving sample resolution compared to V4 which provides new insight into the gut microbiome community composition of an invasive insect. We evaluated the gut microbiome of mass-reared medfly males (Mediterranean fruit fly, Ceratitis capitata) that were collected across a nine-month sampling period. Full-length 16S rRNA PCR products of samples were prepared into a Kinnex 16S rRNA library, sequenced on a PacBio Revio system, and the resulting HiFi amplicon data was processed into amplicon sequence variants (ASVs). Our findings reveal substantial differences in bacterial compositions across different medfly cohorts when sampling the full-length amplicons which were not detectible when only considering the V4 regions. Strain-level gut microbiome variation were supported with genomes assembled from shotgun metagenomic sequencing. Our findings support that long-read sequencing of full-length 16S rRNA amplicon uncover ecologically important interactions between host and gut microbiomes and serve as a bridge between short-fragment sequencing and shotgun metagenomics.

microbiology↗

MapTurns: mapping the structure, H-bonding and contexts of beta turn in proteins

MotivationBeta turns are the most common type of secondary structure in proteins after alpha helices and beta sheets and play many key structural and functional roles. Turn backbone (BB) geometry has been classified at multiple levels of precision, but the current picture of side chain (SC) structure and interaction in turns is incomplete, because the distribution of SC conformations associated with each sequence motif has commonly been represented only by a static image of a single, typical structure for each turn BB geometry, and only motifs which specify single amino acids have been systematically investigated. Furthermore, no general evaluation has been made of the SC interactions between turns and the structures in their BB neighborhoods. Finally, the visualization and comparison of the wide range of turn conformations has been hampered by the almost exclusive characterization of turn structure in BB dihedral-angle (Ramachandran) space. ResultsThis work introduces MapTurns, a web server for motif maps, which employ a turn-local Euclidean-space coordinate system and a global turn alignment to comprehensively map the distributions of BB and SC structure and H-bonding associated with sequence motifs in beta turns and their local BB contexts. Maps characterize many new SC motifs, provide detailed rationalizations of sequence preferences, and support mutational analysis and the general study of SC interactions, and they should prove useful in applications such as protein design. Availability and ImplementationMapTurns is available at www.betaturn.com along with a broad, map-based survey of SC motifs in beta turns. HTML/Javascript code for a sample map is available at: https://github.com/nenewell/MapTurns/tree/main. Supplementary InformationSupplementary File 1: Methods.

bioinformatics↗