2022
DOI: 10.1128/mra.00644-22
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RRAP: RPKM Recruitment Analysis Pipeline

Abstract: A common method for quantifying microbial abundances in situ is through metagenomic read recruitment to genomes and normalizing read counts as reads per kilobase (of genome) per million (bases of recruited sequences) (RPKM). We created RRAP (RPKM Recruitment Analysis Pipeline), a wrapper that automates this process using Bowtie2 and SAMtools.

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Cited by 10 publications
(9 citation statements)
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“…Metagenomic samples were compiled from the following datasets: TARA Oceans, BIOGEOTRACES, MALASPINA, the Bermuda Atlantic Time Series (BATS), the Chesapeake, Delaware, and San Francisco Bays, the Hawaiian Ocean Time series (HOT), the Columbia River and Yaquina Bay, the Baltic Sea, Pearl River, Sapelo Island, Southern California Bight, and the northern Gulf of Mexico(61)(62)(63)(64)(65)(66)(67)(68)(69). We recruited reads from all datasets to the AEGEAN-169 genomes via RRAP(70)(71)(72). Post-recruitment, we assessed subclade distribution by summing all Reads Per Kilobases of genome per Million bases of metagenome sequence (RPKM) values for the genomes within each subclade and plotting them by depth, temperature, and salinity.…”
mentioning
confidence: 99%
“…Metagenomic samples were compiled from the following datasets: TARA Oceans, BIOGEOTRACES, MALASPINA, the Bermuda Atlantic Time Series (BATS), the Chesapeake, Delaware, and San Francisco Bays, the Hawaiian Ocean Time series (HOT), the Columbia River and Yaquina Bay, the Baltic Sea, Pearl River, Sapelo Island, Southern California Bight, and the northern Gulf of Mexico(61)(62)(63)(64)(65)(66)(67)(68)(69). We recruited reads from all datasets to the AEGEAN-169 genomes via RRAP(70)(71)(72). Post-recruitment, we assessed subclade distribution by summing all Reads Per Kilobases of genome per Million bases of metagenome sequence (RPKM) values for the genomes within each subclade and plotting them by depth, temperature, and salinity.…”
mentioning
confidence: 99%
“…To determine genome, gene and transcript abundances MG and MT reads were mapped to DWH MAGs and non-DWH genomes using Bowtie 2 (ver. 2.3.4.1) (Langmead & Salzberg, 2012) following the script provided at https://merenlab.org/data/tara-oceans-mags/ and used in Thrash et al (2017) and more recently as the RRAP pipeline (Kojima et al, 2022). Before mapping cDNA reads ribosomal RNA was subtracted using riboPicker (ver 0.4.3) with the default settings (Schmieder et al 2012).…”
Section: Methodsmentioning
confidence: 99%
“…1.7-2) (Li et al, 2009) command idxstats with default settings. Subsequently, genome, gene and transcript abundances were normalized by calculating reads per kilobase per million mapped (RPKM) values according to Mortazavi et al (2008), and detailed in Thrash et al (2017) and Kojima et al (2022). RPKM values are reported as MG RPKM maximum/MT RPKM maximum in the results.…”
Section: Metagenomic Sequencing Assembly Annotation and Read Mappingmentioning
confidence: 99%
“…To examine the distribution of genomes in aquatic systems, we selected 1,059 metagenomes for read recruitment from the following regions: Baltic Sea, Chesapeake Bay, Columbia River, Black Sea, Gulf of Mexico, Pearl River, Sappelo Island, San Francisco Bay, BioGeoTraces, Tara Oceans, and HOT (accession numbers available in Table S1 ). We conducted read mapping and calculation of normalized abundances via Reads Per Kilobase (of genome) per Million (of recruited read base pairs) (RPKM) using RRAP(38).…”
Section: Methodsmentioning
confidence: 99%