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Barcodes

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Barcodes are unique identifier sequences used in molecular biology applications to label and track samples or molecules. They enable the simultaneous analysis of multiple samples or molecules in a single experiment, improving efficiency and throughput.

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9 protocols using barcodes

1

Transcriptome Analysis of Mouse Samples

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Poly-A RNA-seq libraries generated with Illumina barcodes were sequenced (NextSeq 500 at the University of Virginia Genome Analysis and Technology Core) to at least 25 million single-end 75-bp reads per sample. Data were analyzed using the Galaxy server (https://usegalaxy.org). Transcript quantification was performed using Salmon (Patro et al. 2017 (link)) to map to the mm10 mouse genome build, and DESeq2 (Love et al. 2014 (link)) within the Galaxy site was used for normalizing count data, estimating dispersion, fitting a negative binomial model for each gene, and comparing expression between groups. A cutoff of ±0.5 log2 and an adjusted P-value of <0.01 were considered significant. Enrichment was analyzed with ENRICHR (http://amp.pharm.mssm.edu/Enrichr) (Chen et al. 2013 (link); Kuleshov et al. 2016 (link)), and heat maps were generated with Heatmapper (http://www2.heatmapper.ca/expression) (Babicki et al. 2016 (link)). Gene set enrichment was by GSEA software from the Broad Institute (Mootha et al. 2003 (link); Subramanian et al. 2005 (link)). RNA-seq data have been deposited at Gene Expression Omnibus (GSE116578).
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2

Microbial DNA Extraction and Sequencing

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DNA extraction, PCR amplification, and sequencing were performed by the uBiome laboratory in California. In brief, samples were lysed via mechanical bead beating [41 (link)]. DNA extraction followed the protocol of [42 (link)]. The V4 region of the 16S ribosomal RNA (rRNA) gene was amplified using universal forward and reverse primers. Illumina barcodes and sequence tags were added to primers for multiplexing. PCR products were selected based on size following the protocol in Minalla et al. (2001) [43 ]. Multiplexed 150 bp paired-end data was generated for 16S amplicons using the NextSeq 500 platform.
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3

Metagenomic Sequencing of Environmental Samples

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DNA extraction and metagenomic library prep are described in [39 (link)] and in Supplemental Methods. Briefly, DNA was extracted via a lysozyme and Proteinase K incubation, precipitated, resuspended, purified using a Zymo genomic DNA Clean and Concentrator kit (Zymo Research Corp., Irvine, CA), and diluted to 2 ng/μl. Next, a modified Illumina Nextera DNA protocol and custom Nextera 8 bp unique dual index (UDI) barcodes were used to create metagenomic libraries using a Tagment DNA Enzyme and Buffer Kit (Illumina, San Diego, CA; cat. No. 20034197) [40 (link)–42 (link)]. I09N, I07N, and C13.5 samples were pooled separately and sequenced on NovaSeq lanes using 150 bp paired-end chemistry with 300 cycles (Illumina, San Diego, CA). A total of 864 Gbp with a median 20.5 million reads per sample (3–81 million) was generated for I09N, a total of 936 Gbp with a median of 21.7 million reads per sample (1.6–94 million) was generated for I07N, and a total of 896 Gbp with a median of 19.6 million reads per sample (2.7–142.7 million) was generated for C13.5.
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4

Soil Microbiome DNA Profiling

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DNA Extraction was carried out using the DNeasy® PowerSoil® Pro Kit (Qiagen) with 250 mg of homogenized soil from each sample. This study used a DNA amplification approach, as described by Supplementary methods in Caporaso et al. (2012) (link). The V4 region of the 16S rRNA gene was amplified together with barcodes (Illumina, San Diego, CA, United States) adaptor and sequencing primers, and the target primers, 515F and 806R. The efficiency of the amplification process was assessed through agarose gel electrophoresis. The PCR products were then pooled for each amplicon based on gel electrophoresis band strength and combined in equimolar concentrations.
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5

Single-Cell RNA-seq Data Processing

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Single cell RNA-seq data was processed according to published methods [Krishnaswami 2016 (link), Aevermann 2017] . Briefly, raw fastq sequencing files were demultiplexing using Illumina barcodes.
Sequencing primers and low-quality bases were removed using the Trimmomatic software package [Bolger 2014 (link)]. Trimmed reads were then aligned using HISAT [Pertea 2016 (link)] in two steps: first to a reference of ERCC sequences, and then to GRCh38 (Ensembl). StringTie [Pertea 2016 (link)] was used to assemble the resulting alignments into transcript structures using GENCODE v25 annotation (Ensembl 87; 10-2016)
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6

Transposon Identification and Mapping Protocol

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Sequencing reads were demultiplexed first by Illumina barcodes, and then by custom ‘inline index’ barcodes unique to each sample replicate. Barcodes were trimmed using the fastx barcode splitter and trimmer tools [106 (link)]. The transposon was identified in a two-step pattern matching process, allowing for 3 and 1 nucleotide mismatch respectively. Reads that did not contain the transposon sequence were discarded, while reads with successful transposon-matching were trimmed of the transposon sequence and mapped to the reference genome (CP025209.1) using bwa mem [107 (link)]. The reference genome was closed and annotated by microbesNG, using Prokka (v 1.12; [108 (link)]). The plasmid deposited with this reference sequence was found to be an artefact and subsequently discarded from our analysis. Transposon insertion sequencing reads that successfully mapped to the reference genome were sorted and manipulated using samtools and bedtools [109 (link)]. The first nucleotide at the 52 end of each read was counted as the transposon insertion site. Data were viewed using the Artemis genome browser [110 (link)]. FASTQ data are available at the European Nucleotide Archive for download (accession: PRJEB56349). The processed insertion data can be viewed online at: https://tradis-vault.qfab.org/
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7

SNP Genotyping of Backcross Nymphs

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We used Agencourt DNAdvance Genomic DNA Isolation Kit (Beckman Coulter, Inc.) to extract DNA from 163 backcross nymphs and their parents. A total of four offspring failed to generate enough reads for successful analyses and were eliminated.
We sequenced individuals in three Illumina Miseq lanes (Cornell Life Sciences Core Laboratory Center for first batch of individuals, Genewiz for second and third batch). For each individual, we first performed 5 PCR reactions with 24 primer pairs in each using the Qiagen Multiplex PCR Kit (Qiagen) to amplify a total of 120 SNP markers, the 165 individuals were divided into two Illumina lanes. To each individual we added Illumina barcodes (N501-520/S701-729) via PCR. All barcoded individuals from each batch (lane) were combined in a single mix and cleaned up using Agencourt Ampure XL beads (Beckman Coulter, Inc.). The third Illumina lane was used to get data for loci that failed to generate enough reads in the previous runs (23 loci).
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8

16S rRNA Gene Sequencing Protocol

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Sequencing of the samples in our study was completed in collaboration with other researchers as part of the EMP (http://www.earthmicrobiome.org/). Our collaborators at EMP amplified and sequenced the V4 region of the 16s rRNA gene using the bacterial/archaeal primer pair 515F/860R and following previously published methods (Caporaso et al., 2012 (link)). Amplicons were fused to Illumina barcodes and sequencing was completed on an Illumina platform.
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9

Small RNA Library Construction and Sequencing

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Libraries construction and sequencing were conducted at the UMass Medical Genomics Core Facility. First, end repair of the isolated total RNA using T4 Polynucleotide kinase (NEB, Cat #M0201) according to manufacturer’s instructions. Polyadenylated RNA library preparation, reverse transcription cDNA synthesis, and 6 cycles of PCR amplification steps followed modified Clontech SMARTer smRNA-Seq protocol. To avoid small RNA sequencing bias, SPRI beads were used for library cleanup. Size selection and quality assessment were performed using AMPure X beads and fragment analyzer respectively. Samples were multiplexed prior to loading onto the flow cell using Illumina barcodes (1 (link) – 24 (link)) and 50-bp single-end reads were sequenced on an Illumina HiSeq 4000.
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