Dataset Information

Whole genome bisulfite sequencing data of Russian wheat aphid biotypes US-RWA1 (co-fed), US-RWA2 (co-fed) and US-RWA2 (isolated)

ABSTRACT: The aim for this study was to compare the differences in the methylome of three Russian wheat aphid populations that differ in virulence and bacterial load. Differences in the methylome of US Russian wheat aphid biotype 2 (US-RWA2) that have undergone removal of their phytobiomes through isolation of newly born nymphs from their mothers compared to nymphs who stayed in close proximity to their progenitors. US-RWA1 is the least virulent biotype and US-RWA2 is the most virulent biotype. The isolated US-RWA2 population (with a reduced bacterial load) has been shown to be less virulent than the co-fed population (Luna et al., 2018). The corresponding two methylomes were then compared to the methylome of US Russian wheat aphid biotype 1 (US-RWA1 is less virulent than US-RWA2) to ascertain the contribution (or lack thereof) of the phytobiome in regards to the increased/decreased virulence of phytobiome present and absent aphids. We investigated the overall, genic, intergenic, exonic and intronic methylation - as well as genic and intergenic hemimethylation -all three available contexts ( CpG, CHG and CHH) through use of the Bismark pipeline. These findings were used to ascertain to what effect the phytobiome (bacterial load) had on methylation within the US Russian wheat aphid biotypes.

ORGANISM(S): Diuraphis noxia

PROVIDER: GSE185975 | GEO | 2022/06/30

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Purpose: Soybean aphid (Aphis glycines Matsumura; SBA) is major pest of soybean (Glycine max) in the United States of America. One previous study on soybean, soybean-aphid interactions showed that avirulent (biotype 1) and virulent (biotype 2) biotypes can co-occur and potentially interact on resistant and susceptible soybean resulting induced susceptibility. The main objective of this research was to employ RNA sequencing technique to characterize the induced susceptibility effect in which initial feeding by virulent aphids can increase the suitability of avirulent aphids in both susceptible and resistant cultivars. Methods: The data in this submission come from the green house experiment using two genotypes of soybean: susceptible soybean cultivar was LD12-15838R and the resistant cultivar was LD12-15813Ra (with Rag1 gene) and two aphid populations: biotype 1 (avirulent) and biotype 2 (virulent biotype 2). RNA was extracted from the leave samples from resistant and susceptible cultivars treated with no aphids, biotype 2: biotype1 collected at day 1 and no aphids, biotype 2: biotype1 and no aphids: biotype1 at day 11 using PureLink RNA mini kit (Invitrogen, USA). RNA samples were treated with TURBOTM DNase (Invitrogen, USA) to remove any DNA contamination following the manufacturer’s instructions. Assessment of the isolated RNA integrity was performed by 1% agarose gel electrophoresis, and RNA concentration was measured by Nanodrop 2000 (Thermo Fisher Scientific, USA). Three replicates from these treatments in resistant and susceptible cultivars were pooled in equimolar concentration. RNAseq library construction was prepared using Illumina’s TruSeq Stranded mRNA Kit v1 (San Diego, CA). The libraries were quantified by QuBit dsDNA HS Assay (Life Technologies, Carlsbad, CA) and pooled in equimolar concentrations. The libraries were sequenced on an Illumina NextSeq 500 using a NextSeq 500/550 High Output Reagent Cartridge v2 (San Diego, CA) at 75 cycles. Results: A total of 10 RNA libraries were prepared and sequenced with the sequencing depth ranging from 24,779,816 to 29,72,4913. Total reads of 266,535,654 were subjected to FastQC analysis to determine the data quality using various quality metrics such as mean quality scores, per sequence quality scores, per sequence GC content, and sequence length distribution. The phred quality scores per base for all the samples were higher than 30. The GC content ranged from 45 to 46% and followed the normal distribution. After trimming, more than 99% of the reads were retained as the clean and good quality reads. Upon mapping these reads, we obtained high mapping rate ranging from 90.4% to 92.9%. Among the mapped reads, 85.8% to 91.9% reads were uniquely mapped. Conclusions: The objective of this study is to characterize the mechanism of induced susceptibility in soybean via transcriptional response study of soybean in presence of biotype 1 and biotype 2 soybean aphids using RNA-Seq. The data resulted from this study might provide insights into the interactions between soybean and soybean aphids and identify genes, their regulation and enriched pathways that may be associated with resistance or susceptibility to A. glycines.

Dataset Information

Whole genome bisulfite sequencing data of Russian wheat aphid biotypes US-RWA1 (co-fed), US-RWA2 (co-fed) and US-RWA2 (isolated)

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure