Fragmentation of pooled PCR products for highly multiplexed TILLING release_jmnookhlrvf2jninh7q6kmjjla

by Andrea Tramontano, Luka Jarc, Joanna Jankowicz-Cieslak, Bernhard J. Hofinger, Katarzyna Gajek, Miriam Szurman-Zubrzycka, Iwona Szarejko, Ivan Inglebrecht, Bradley J. Till

Released as a post by Cold Spring Harbor Laboratory.

2018  

Abstract

<jats:title>Abstract</jats:title>Improvements to massively parallel sequencing have allowed the routine recovery of natural and induced sequence variants. A broad range of biological disciplines have benefited from this, ranging from plant breeding to cancer research. The need for high sequence coverage to accurately recover single nucleotide variants and small insertions and deletions limits the applicability of whole genome approaches. This is especially true in organisms with a large genome size or for applications requiring the screening of thousands of individuals, such as the reverse-genetic technique known as TILLING, where whole genome approaches become cost prohibitive. Using PCR to target and sequence chosen genomic regions provides an attractive alternative as the vast reduction in interrogated bases means that sample size can be dramatically increased through amplicon multiplexing and multidimensional sample pooling while maintaining suitable coverage for recovery of small mutations. Direct sequencing of PCR products is limited, however, due to limitations in read lengths of many next generation sequencers. In the present study we show the optimization and use of ultrasonication for the simultaneous fragmentation of multiplexed PCR amplicons for TILLING highly pooled samples. Thirty-two PCR products were produced from genomic DNA pools representing 265 pooled barley mutant lines. Mutant lines were produced with the chemical mutagen ethyl methanesulfonate. Samples were subjected to 2×300PE illumina sequencing. Evaluation of read coverage and base quality across amplicons suggests this approach is suitable for high-throughput TILLING and other applications employing highly pooled complex sampling schemes. Induced mutations previously identified in a traditional TILLING screen were recovered in this dataset further supporting the efficacy of the approach.
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Date   2018-10-24
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