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    Spider Monkey Genome Assembly and Annotation Script

    Martina Albuja-Quintana, Gabriela Pozo, Maria de Lourdes Torres, Lizbeth Larreátegui

    Published: 2023-09-01 DOI: 10.17504/protocols.io.6qpvr3892vmk/v1
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    Abstract

    Oxford Nanopore long reads obtained from sequencing the DNA of an Ecuadorian brown-headed spider monkey ( Ateles fusciceps fusciceps ), were used to assemble and annotate the whole genome of this species. ONT long reads were filtered and trimmed in Nanofilt and Porechop. Sequencing statistics were visualized in Nanoplot. The reads were later processed to generate a genome assembly. Two different assemblers, Flye and Smartdenovo, were used on the raw reads to produce draft genomes. The resulting assemblies were polished in Medaka and analyzed for genome completeness and quality in Quast and BUSCO. The best resulting assembly was later annotated in Maker in 3 consecutive rounds using the ab initi o gene predictor SNAP.

    Steps

    ONT Raw Reads: Filtering, Trimming and Sequencing Statistics

    1.

    NANOFILT

    NanoFilt -q 7 < raw_reads.fastq > nanofilt_trimmed.fastq

    2.

    PORECHOP

    porechop -i nanofilt_trimmed.fastq.gz -o porechop_reads.fastq.gz

    3.

    NANOPLOT

    NanoPlot --fastq porechop_reads.fastq --readtype 1D -t 4 --title "Nanoplot_results" -o Nanoplot_results

    Genome Assembly

    4.

    SMARTdenovo

    smartdenovo.pl -p input_name -c 1 'porechop_reads.fastq' > name.mak

    make -f name.mak

    5.

    Flye

    flye --nano-raw porechop_reads.fastq --out-dir PATH/output_name --scaffold -g 2.6g

    Genome Mapping

    6.

    Minimap2

    minimap2 -ax map-ont reference.fna.gz assembly_file > assembly_mapped.sam

    7.

    Samtools

    samtools view -bS assembly_mapped.sam > assembly_mapped.bam

    samtools fasta assembly_mapped.bam.bam > assembly_mapped.fasta

    Genome Polishing

    8.

    MEDAKA

    medaka_consensus -i raw_reads.fastq -d assembly_mapped.fasta -o Medaka_Folder -t 4 -m r103_fast_g507

    Genome Assembly Evaluation

    9.

    QUAST: quast.py assembly_medaka.fasta -r reference.fna.gz --eukaryote -o Quast_Output_Folder

    10.

    BUSCO: busco -i assembly_medaka.fasta -l primates_odb10 -o BUSCO_Output_Folder -m genome

    Genome Annotation

    11.

    REPEAT MODELER

    BuildDatabase -name Ateles_genome Ateles_fusciceps_PulidoMedaka.fasta

    RepeatModeler -threads 32 -database Ateles_genome -LTRStruct >& repeatmodeler.log

    12.

    ASSEMBLY FILE PREPARATION

    awk '/^>/{print ">Ateles_fusciceps" ++i; next}{print}' Ateles_fusciceps_Ensamblado_Concatenado.fasta

    13.

    MODIFY MAKER_OPTS.CTL FILE

    14.

    MAKER RUN 1 (10 ITERATIONS)

    sbatch --ntasks=1 -p general -A general --cpus-per-task=2 -N 1 --job-name=1_makerMono -e error_%j.err --mem=100G --out=makerMono_1.out --time=4-0 --wrap="maker"

    15.

    MAKER RUN 2 (5 ITERATIONS)

    1. MODIFY SNAP_PULT_CREATOR.SH FILE

    2. sbatch --ntasks=1 -p general -A general --cpus-per-task=2 -N 1 --job-name=1_makerMono_sn1 -e error_%j.err --mem=100G --out=makerMono_sn1_1.out --time=4-0 --wrap="maker"

    16.

    MAKER RUN 3 (5 ITERATIONS)

    1. MODIFY SNAP_PULT_CREATOR.SH FILE

    2. sbatch --ntasks=1 -p general -A general --cpus-per-task=2 -N 1 --job-name=1_makerMono_sn2 -e error_%j.err --mem=100G --out=makerMono_sn2_1.out --time=4-0 --wrap="maker"

    17.

    GENERATE A SINGLE GFF AND PROTEIN AND TRANSCRIPT FILE FROM ALL 3 MAKER ROUNDS

    gff3_merge -d Ateles_fusciceps_Ensamblado_Concatenado_master_datastore_index.log -o Mono_Anotado_All.gff

    fasta_merge -d Ateles_fusciceps_Ensamblado_Concatenado_master_datastore_index.log -o Mono_Anotado_All.fa

    18.

    IDENTIFY CONSERVED PROTEIN REGIONS IN PREDICTED GENE MODELS

    sbatch --ntasks=1 -p general -A general --cpus-per-task=8 -N 1 --job-name=interpro_Domains --mem=100G --out=interpro_Do.out -e error_%j.err --time=4-0 --wrap="/interproscan-5.61-93.0/interproscan.sh -appl PfamA -iprlookup -goterms -f tsv -i Mono_Anotado_All.all.maker.proteins.fasta"

    19.

    MODIFY THE ORIGINAL GFF3 FILE BY IDENTIFYING GENE MODELS WITH CONSERVED PROTEIN DOMAINS

    ipr_update_gff Ateles_fusciceps_Ensamblado_Concatenado.all.gff Mono_Anotado_All.all.maker.proteins.fasta.tsv > Mono_Anotado_genomic_update.all.gff

    20.

    ELIMINATE GENE MODELS WITH AED <0.5

    ./quality_filter -s Mono_Anotado_genomic_update.all.gff -a 0.5 > Mono_Anotado_genomic_FINAL.all.gff

    21.

    CALCULATE ANNOTATION STATISTICS IN AGAT

    agat_sp_statistics.pl –gff Mono_Anotado_genomic_FINAL.all.gff -o Mono_Stats

    22.

    FILTER OUT GENE MODELS WITH NO CONSERVED PROTEIN REGIONS AND AED <0.5 FROM PROTEIN AND TRANSCRIPT FASTA FILES

    genes_from_gff.aed-0.5.ids perl ./fastaqual_select.pl -f Mono_Anotado_All.all.maker.proteins.fasta -inc genes_from_gff.aed-1.0.ids > Mono_Anotado_All_Proteins_Final.fasta

    perl ./fastaqual_select.pl -f Mono_Anotado_All.all.maker.transcripts.fasta -inc genes_from_gff.aed-1.0.ids > Mono_Anotado_All_Transcripts_Final.fasta

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