Quantitative and sensitive sequencing of somatic mutations induced by a maize transposon

Abstract excerpt

Cells accumulate mutations throughout development, contributing to cancer, aging, and evolution. Quantitative data on the abundance of de novo mutations within plants or animals are limited, as new mutations are often rare within a tissue and fall below the limits of current sequencing depths and error rates. Here, we show that mutations induced by the maize Mutator (Mu) transposon can be reliably quantified down...

Topics

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• Base Sequence
• Computational Biology
• DNA Transposable Elements
• Gene Frequency
• Gene Library
• Mutation
• Pollen
• Zea mays

Identifiers and source

Literature Corpus work

53a89c4f-b4f1-5a19-88ae-9c0370e6c998

DOI

10.1101/2025.01.22.634239