Affiliation:
1. School of Integrative Plant Science, Section of Plant Biology and the L. H. Bailey Hortorium Cornell University Ithaca New York 14853 USA
2. BTI Computational Biology Center Boyce Thompson Institute Ithaca New York 14853 USA
3. Department of Botany University of Wisconsin–Madison Madison Wisconsin 53706 USA
4. School of Life Sciences University of Hawaiʻi, Mānoa Honolulu Hawaiʻi 96822 USA
Abstract
AbstractPremiseWe present approaches used to generate long‐read Nanopore sequencing reads for the Liliales and demonstrate how modifications to standard protocols directly impact read length and total output. The goal is to help those interested in generating long‐read sequencing data determine which steps may be necessary for optimizing output and results.MethodsFour species of Calochortus (Liliaceae) were sequenced. Modifications made to sodium dodecyl sulfate (SDS) extractions and cleanup protocols included grinding with a mortar and pestle, using cut or wide‐bore tips, chloroform cleaning, bead cleaning, eliminating short fragments, and using highly purified DNA.ResultsSteps taken to maximize read length can decrease overall output. Notably, the number of pores in a flow cell is correlated with the overall output, yet we did not see an association between the pore number and the read length or the number of reads produced.DiscussionMany factors contribute to the overall success of a Nanopore sequencing run. We showed the direct impact that several modifications to the DNA extraction and cleaning steps have on the total sequencing output, read size, and number of reads generated. We show a tradeoff between read length and the number of reads and, to a lesser extent, the total sequencing output, all of which are important factors for successful de novo genome assembly.
Subject
Plant Science,Ecology, Evolution, Behavior and Systematics
Cited by
8 articles.
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