Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq analysis of two genealogically linked South African Diuraphis noxia biotypes

ABSTRACT: RNA-seq analysis of two genealogically linked South African Diuraphis noxia biotypes

PROVIDER: PRJNA600838 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR10875594_1.fastq.gz	Fastqsanger.gz
	SRR10875594_2.fastq.gz	Fastqsanger.gz
	SRR10875595_1.fastq.gz	Fastqsanger.gz
	SRR10875595_2.fastq.gz	Fastqsanger.gz
	SRR10875596_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

RNA-seq analysis of two genealogically linked South African Diuraphis noxia biotypes

Project description:RNA was extracted from all instar (insect developmental) stages for both D. noxia biotypes SA1 and SAM with the purpose to capture as many expressed transcripts as possible. South African D. noxia biotype SA1 is known to be the least virulent aphid, while its offspring, the South African D. noxia biotype SAM is the most virulent. The overall purpose of the experiment was to establish a baseline availability of transcripts to the aphids as well as help improve on current genome assemblies. Three biological replicates of 100 aphids each was collected from both biotypes SA1 and SAM that were respectively reared on preference host cultivars. Whole aphids were flash frozen in liquid nitrogen, ground to a powder with micro pistils and RNA was extracted making use of a Qiagen RNeasy kit. Library preparation for sequencing was performed using an Illumina TruSeq Stranded mRNA LT Sample Prep Kit following the TruSeq Stranded mRNA Sample Preparation Guide, Part # 15031047 Rev. E protocol. The replicate samples from the SAM biotype yielded between 120 – 140 million 100bp PE reads and the replicate samples from the SA1 biotype yielded between 113 – 137 million 100bp PE reads (with a Q20 phred score above 98% for all replicates) after sequencing on the NovaSeq6000 system. De novoassembly was performed making use of the Trinity package.

2020-12-31 | GSE143502 | GEO

Whole-body transcriptome mining for candidate effectors from Diuraphis noxia

Project description:RNA was extracted from a pooled sample of salivary glands that were excised from adult Diuraphis noxia aphids of two biotypes SA1 and SAM2.0. South African D. noxia biotype SA1 is known to be the least virulent aphid, while its offspring, the South African D. noxia biotype SAM2.0 is a newly developed biotype that is capable of feeding on several resistant cultivars. The overall purpose of the experiment was to establish a baseline availability of transcripts contained in the salivary glands of D. noxia aphids as well as help improve on current genome assemblies. In total, 200 glands were excised from both biotypes feeding on various wheat hosts (Tugela, Tugela Dn1, Gamtoss R, SST387). Aphid glands were excised in PBS buffer and stored in RNA-later until RNA extraction with a Qiagen Rneasy kit could commence. Library preparation for sequencing was performed using an Illumina TruSeq Stranded mRNA LT Sample Prep Kit following the TruSeq Stranded mRNA Sample Preparation Guide, Part # 15031047 Rev. E protocol. The single library was then sequenced on a NovaSeq6000 system. De novoassembly was performed making use of the Trinity package.

2023-12-31 | GSE200382 | GEO

Diuraphis noxia isolate:South African Mutant

Project description:Diuraphis noxia isolate:South African Mutant Genome sequencing and assembly

| PRJNA351928 | ENA

Diuraphis noxia

Project description:Diuraphis noxia overview

| PRJNA234064 | ENA

Diuraphis noxia

Project description:Diuraphis noxia Transcriptome or Gene expression

| PRJNA270878 | ENA

Diuraphis noxia strain:RWA2

Project description:Diuraphis noxia strain:RWA2 Genome sequencing and assembly

| PRJNA233413 | ENA

Diuraphis noxia strain:Biotype 1

Project description:Diuraphis noxia strain:Biotype 1 Transcriptome or Gene expression

| PRJNA197283 | ENA

Diuraphis noxia and Schizaphis graminum

Project description:Diuraphis noxia and Schizaphis graminum Genome sequencing and assembly

| PRJNA306025 | ENA

Diuraphis noxia strain:RWA1 & RWA2

Project description:Diuraphis noxia strain:RWA1 & RWA2 Transcriptome or Gene expression

| PRJNA252017 | ENA

Bacteria Associated with Russian Wheat Aphid (Diuraphis noxia) Enhance Aphid Virulence to Wheat

Project description:Phenotypic responses to biotic stresses are often studied as the interactions between two species; however, in the phytobiome, these responses frequently result from complex interactions involving several organisms. Here, we show that variation in chlorosis caused by Russian wheat aphid (Diuraphis noxia) feeding is determined, in part, by aphid-associated bacteria. Proteomic analysis of fluids injected into a sterile medium by the aphid during feeding indicate that 99% of the proteins are of bacterial origin. Of these, the greatest proportion are produced by bacteria in the order Enterobacteriales. Bacteria from five genera in four families that have the capacity to produce these proteins were isolated directly from aphids as well as from wheat leaves only after D. noxia feeding. By themselves or in combination, these bacteria were not virulent to wheat, even at high inoculum levels. Metagenomic analysis showed that the same five D. noxia-associated genera dominated the non-Buchnera component of the aphid microbiome, and that representation of these genera was reduced in aphids from colonies established after isolation of newborn nymphs from their mothers prior to feeding (‘isolated’ aphids). Isolation or treatment with antibiotics reduced bacterial numbers, and these aphids caused less feeding damage on wheat than non-isolated or non-antibiotic treated aphids. Our data show that bacterial proteins are a significant component of Russian wheat aphid saliva, that the bacteria producing these proteins are associated with aphids and plants fed upon by aphids, and that these aphid-associated bacteria facilitate aphid virulence to wheat.

2020-11-09 | PXD010663 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data