RT Journal Article
SR Electronic
T1 Combining epiGBS markers with long read transcriptome sequencing to assess differentiation associated with habitat in <em>Reynoutria</em> (aka <em>Fallopia</em>)
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.09.30.317966
DO 10.1101/2020.09.30.317966
A1 Marta Robertson
A1 Mariano Alvarez
A1 Thomas van Gurp
A1 Cornelis A. M. Wagemaker
A1 Fahong Yu
A1 David Moraga Amador
A1 William G. Farmerie
A1 Koen J. F. Verhoeven
A1 Christina L. Richards
YR 2020
UL http://biorxiv.org/content/early/2020/10/01/2020.09.30.317966.abstract
AB Despite the limitations of genetic bottlenecks, several invasive species appear to thrive in non-native ranges with extremely low levels of sequence-based genetic variation. We previously demonstrated differentiation of DNA methylation to habitat types of the highly clonal, genetically depauperate Japanese knotweeds using anonymous markers, but the functional relevance of this DNA methylation variation is unknown. Here, we sequenced the full transcriptome combined with a reduced representation bisulfite sequencing approach, epigenotyping by sequencing (epiGBS), to characterize the association among DNA methylation, functional transcripts and the diverse habitat types occupied by the invasive Reynoutria species. We identified 50,435 putative transcripts overall, of which 48,866 were annotated with the NCBI NR database. Of these 17,872 (35%) and 16,122 (32%) transcripts shared sequence identity with Arabidopsis thaliana and Beta vulgaris, respectively. We found genetic differentiation by habitat type suggesting the action of selection and a marginal pattern of differentiation of DNA methylation among habitats, which appears to be associated with sequence differences. However, we found no individual methylation loci associated with habitat, limiting our ability to make functional interpretations. Regardless of the source of variation in DNA methylation, these changes may represent an important component of the response to environmental conditions, particularly in highly clonal plants, but more fine scale genomics analysis is required to test if DNA methylation variation in this system is responsible for functional divergence.Competing Interest StatementThe authors have declared no competing interest.