2.6. Variant Calling

SL Sara Lado
JE Jean P. Elbers
MP Martin Plasil
TL Tom Loney
PW Pia Weidinger
JC Jeremy V. Camp
JK Jolanta Kolodziejek
JF Jan Futas
DK Dafalla A. Kannan
PO Pablo Orozco-terWengel
PH Petr Horin
NN Norbert Nowotny
PB Pamela A. Burger
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We performed adapter and quality trimming using BBDuk v.38.75 (https://sourceforge.net/projects/bbmap/ (accessed on 5 February 2020)), using “ref = resources/adapters.fa” that comes with BBMap/BBTools v. 38.75. For this, we selected the following settings: ktrim = r, k = 23, mink = 11, hdist = 1, tpe, tbo, qtrim = rl, trimq = 15. We then mapped quality and adapter trimmed reads to the CamDro3 ([23]; https://doi.org/10.5061/dryad.qv9s4mwb3) assembly using BBMap v. 38.75 (https://sourceforge.net/projects/bbmap/) with the “usejni = t” setting. BAM files were cleaned, sorted, read groups added, and duplicates marked with Picard v. 2.21.7 (http://broadinstitute.github.io/picard). We called SNPs against CamDro3 [24] with CallVariants v. 38.39 (https://sourceforge.net/projects/bbmap/), keeping only SNPs with quality scores greater than or equal to 27 using the settings “ploidy =2 multisample minscore = 27.0 nopassdot = t duplicate = f minreadmapq = 30”. We then used BCFTools 1.9 (http://samtools.github.io/bcftools/ (accessed on 12 March 2019)) to filter each individual’s raw VCF file to exclude sites with missing genotypes, kept only SNPs that passed “CallVariants”‘s filters, and if a site was multiallelic, kept the genotype with the highest quality score. We also used BCFTools to merge VCF files for each individual into a single VCF file and finally employed BEDTools 2.29.0 [37] to keep only the SNPs that occurred in the target region where the 120-bp baits mapped using blastn v. 2.2.31+ [38].

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