Mu-seq: sequence-based mapping and identification of transposon induced mutations.

Area of Science:

• Genetics
• Genomics
• Molecular Biology

Background:

• Transposon insertions are valuable for gene function analysis and creating genomic resources.
• High-throughput sequencing methods are needed for efficient mapping and identification of these mutations.
• The Robertson's Mutator system in maize provides a model for studying transposon activity.

Purpose of the Study:

• To introduce Mu-seq, a novel high-throughput NextGen sequencing method for analyzing transposon insertions.
• To demonstrate the efficacy of Mu-seq in a large population of maize plants.
• To develop a bioinformatics framework for high-throughput, genome-wide, and population-wide analysis of transposon insertions.

Main Methods:

• Development of Mu-seq, a high-throughput sequencing method.
• Application of Mu-seq to the Robertson's Mutator system in maize.
• Construction of a single Mu-seq library from 576 maize families (2304 plants).
• Bioinformatic analysis of transposon insertion data.

Main Results:

• Detection, identification, and mapping of 4,723 novel, germinal transposon insertions.
• Single base-pair resolution achieved for all mapped insertions.
• Demonstration of Mu-seq's specificity, efficiency, reproducibility, and adjustable scale.
• Successful profiling of transposons in thousands of individuals simultaneously.

Conclusions:

• Mu-seq is a powerful and scalable method for high-throughput analysis of transposon insertions in large populations.
• The method enables the creation of valuable, sequence-indexed genomic resources for systematic gene function studies.
• Mu-seq, coupled with its bioinformatics framework, facilitates genome-wide and population-wide transposon insertion profiling.