bioRxivGenomicsPreprint
Accuracy of direct genomic values and methylation profile through genotype-by-LowPass sequencing using Nanopore technology
Óscar González-RecioiD, Adrián López CatalinaiD, Ramón Peiró‐PastoriD, Alicia Nieto‐ValleiD, Monica Castro, Almudena FernándeziD
Abstract
Genotype-by-sequencing has been proposed as an alternative to SNP genotyping arrays in genomic selection to obtain a high density of markers along the genome. It requires a low sequencing depth to be cost effective, which may increase the error at the genotype assigment. Third generation Nanopore sequencing technology offers low cost sequencing and the possibility to detect genome methylation, which provides added value to genotype-by-sequencing. The aim of this study was to evaluate the performance of genotype-by-LowPass Nanopore sequencing for estimating the direct genomic value in dairy cattle, and the possibility to obtain methylation marks simultaneously. Latest Nanopore chemistry (LSK14 and Q20) achieved a modal base calling accuracy of 99.55 %, whereas previous kit (LSK109) achieved slightly lower accuracy (99.1 %). The direct genomic value accuracy from genotype-by-Low Pass sequencing ranged between 0.79 and 0.99, depending on the trait, with a sequencing depth as low as 2x and using the latest chemistry (LSK114). Lower sequencing depth led to biased estimates, yet with high rank correlations. The LSK109 and Q20 achieved lower accuracies (0.57-0.93). More than one million high reliable methylated sites were obtained, even at low sequencing depth, located mainly in distal intergenic (87 %) and promoter (5 %) regions. This study showed that the latest Nanopore technology can be use in a LowPass sequencing framework to estimate direct genomic values with high reliability. It may provided advantages in populations with no available SNP chip, or when a large density of markers with a wide range of allele frequencies is needed. In addition, Low Pass sequencing provided with nucleotide methylation status of >1 million nucleotides at [≥] 10x, which is an added value for epigenetic studies.
- assay: whole-genome sequencing
- assay: DNA methylation
- research focus: variant calling
- research focus: gene regulatory network inference
- research focus: benchmarking
- approach: statistical model
- Citations
- 1
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