云顶集团3118(中国)

    BASIC PROTOCOL 4: Pan-genome Copy Number Variant Calling

    miriam.goldman, chunyu.zhao

    Published: 2022-07-30 DOI: 10.17504/protocols.io.n92ldzke7v5b/v1
    AI 解读
    浏览 1340

    Abstract

    This protocol describes the CNV module of MIDAS2, which takes as input metagenomic sequencing reads from a set of samples and generates files with CNV genotypes for each sample for all detected species. There are two steps for population CNV calling: (1) single-sample quantification of copy number for each gene in the pangenome of each species with the midas2 run_genes command and (2) population CNV calling with the midas2 merge_genes command. Basic Protocols 1 (Species) and 2 (MIDASDB) should be run before this protocol.

    Steps

    1.

    Perform species prescreening as described in Basic Protocol 1.

    BASIC PROTOCOL 1: Species Prescreening

    2.

    Download MIDASDB as described in Basic Protocol 2.

    BASIC PROTOCOL 2: Download MIDAS Reference Database

    3.

    Execute the run_genes command for each sample

    Note
    Conceptually, a typical invocation of the run_genes command proceeds by four steps:Select the list of species abundant enough for accurate metagenotyping based on the species profiling results and user-defined species selection criterion. Taking SRR172902 as an example, run_genes expect to find the species profiling results at midas2_output/SRR172902/species/species_profile.tsv.Compile the pangenomes for these species and build a sample-customized pan-genome bowtie2 index.Align reads to this index with bowtie2.For each gene in the pan-genome, normalize gene coverage by the mean coverage of all that species’ SCGs to estimate copy number per cell [11].Output a read mapping summary and CNV estimates for each species.

    #midas2 run_genes 
    for sample_name in SRR172902 SRR172903
    do
        midas2 run_genes \
        --sample_name ${sample_name} \
        -1 reads/${sample_name}.fastq.gz \ 
        --midasdb_name uhgg --midasdb_dir midasdb_uhgg \
        --species_list 100122,100277 \
        --select_by median_marker_coverage,unique_fraction_covered \
        --select_threshold=0,0.6 \
        --num_cores 8 midas2_output
    done
    

    Note
    The number of CPUs used is specified via --num_cores 8.

    4.

    Prepare sample manifest file for merging purpose. We can use the same list_of_samples.tsv generated by step 6 in Basic Protocol 1.

    BASIC PROTOCOL 1: Species Prescreening

    5.

    Upon the completion of run_genes for all the samples listed in the list_of_samples.tsv, MIDAS2 merges the CNV profiles across samples with the merge_genes command.

    midas2 merge_genes --samples_list list_of_samples.tsv \
    --midasdb_name uhgg --midasdb_dir midasdb_uhgg \
    --min_copy 0.5 \
    --num_cores 2 midas2_output/merge
    
    6.

    Population pangenome CNV analysis has finished successfully when all the following output files are created under the directory midas2_output/merge/genes/ without any error message

    Note
    genes_summary.tsv: merged single-sample CNV summary containing information such as mean_coverage.<species_id>/<species_id>.genes_copynum.tsv.lz4: gene-by-sample matrix of copy-number estimates<species_id>/<species_id>.genes_preabs q.tsv.lz4: gene-by-sample matrix of gene presence / absence<species_id>/<species_id>.genes_depth.tsv.lz4: gene-by-sample read coverage matrix<species_id>/<species_id>.genes_reads.tsv.lz4: gene-by-sample read counts matrix

    推荐阅读

    Nature Protocols
    Protocols IO
    Current Protocols
    扫码咨询