Deep-sequencing of the Peach Latent Mosaic Viroid Reveals New Aspects of Population Heterogeneity
Jean-Pierre Sehi Glouzon, Fran\c{c}ois Bolduc, Rafael Najmanovich,, Shengrui Wang, Jean-Pierre Perreault

TL;DR
This study uses deep sequencing and novel bioinformatics to analyze the genetic diversity of Peach latent mosaic viroid populations, revealing high mutation rates and population heterogeneity, and providing insights into viroid evolution.
Contribution
It introduces a new bioinformatics pipeline for analyzing viroid population heterogeneity and demonstrates the high diversity and dynamic evolution within a single viroid population.
Findings
Over 1100 unique viroid variants identified per library
Variants exhibited up to 20% mutations from the original
Sequences clustered into 7 or 8 distinct groups
Abstract
Viroids are small circular single-stranded infectious RNAs that are characterized by a relatively high mutation level. Knowledge of their sequence heterogeneity remains largely elusive, and, as yet, no strategy attempting to address this question from a population dynamics point of view is in place. In order to address these important questions, a GF305 indicator peach tree was infected with a single variant of the Avsunviroidae family member Peach latent mosaic viroid (PLMVd). Six months post-inoculation, full-length circular conformers of PLMVd were isolated, deep-sequenced and the resulting sequences analyzed using an original bioinformatics scheme specifically designed and developed in order to evaluate the richness of a given the sequence's population. Two distinct libraries were analyzed, and yielded 1125 and 1061 different PLMVd variants respectively, making this study the most…
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