Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptome-wide analysis of N6-methyladenosine modification in the embryos of Spodoptera frugiperda

ABSTRACT: N6-methyladenosine RNA (m6A) is the most abundant modification of messenger RNA (mRNA), which has been demonstrated in regulating various post-transcriptional processes and playing key roles in sex determination, neuronal functions, and embryonic development in Drosophila and mice. However, the methylation profile and relevant functions in other insects remain largely unknown. Here, we analyzed transcriptome-wide profile of m6A modification in the embryonic development of a destructive agricultural pest Spodoptera frugiperda. Our study showed that differentially expressed m6A peak-modified genes were enriched in cell and organ development between the 2 h and 24 embryos. Our study reveals that RNA m6A epigenetic regulation in the embryonic development of S. frugiperda, and provides new insight for the embryonic development of insects.

ORGANISM(S): Spodoptera frugiperda

PROVIDER: GSE208603 | GEO | 2022/12/17

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Antibiotics exposure impacts the gut microbiota and influences energy and metabolic homeostasis in Spodoptera frugiperda

Project description:Insect gut microbiota plays important roles in acquiring nutrition, preventing pathogens infection, immune responses, and communicating with the environment. Gut microbiota can be affected by some external factors such as foods, temperature, and antibiotics. Spodoptera frugiperda (Lepidoptera: Noctuidae) is an important destructive pest of grain crops all over the world. The function of gut microbiota in S. frugiperda remains to be investigated. In this study, we fed the S. frugiperda with the antibiotic mixture (penicillin, gentamicin, rifampicin, and streptomycin) to perturb the gut microbiota, and further examined the effect of dysbiosis in gut microbiota on the gene expression of S. frugiperda by RNA sequencing. We found the composition and diversity of the gut bacterial community were changed in S. frugiperda after antibiotics treatmen, and the expression of genes related to energy and metabolic process were affected after antibiotics exposure in S. frugiperda. Our work will help understand the role of gut microbiota in insects.

2021-08-06 | GSE175476 | GEO

Identification and profiling of microRNAs in the developmental transitions of Spodoptera frugiperda

Project description:MicroRNAs (miRNAs) are endogenous small noncoding RNAs (18–25 nt) that are involved in many physiological processes including development, cancer, immunity, apoptosis and host-microbe interactions through posttranscriptional regulation of gene expression. In this study, we measured the profile of small RNAs over the developmental transitions of Spodoptera frugiperda from egg to adult. We identified 741 miRNAs, including 493 known and 248 novel miRNAs. In addition, we identified the miRNAs differentially expressed over the developmental transitions via weighted gene co-expression network analysis (WGCNA). This study identified critical miRNAs involved in the transitions of this important pest insect S. frugiperda from egg to adult, thus providing a useful resource for exploring the regulatory role of miRNAs during insect post-embryonic development.

2023-11-18 | GSE247558 | GEO

RNA-seq of three Spodoptera frugiperda tissues (Midgut, Fat body, Hemocytes), at 2 time-points (8h and 15h) after infestation by entomopathogenic nematodes Steinernema carpocapsae/Xenorhabdus nematophila

Project description:Nematodes such as Steinernema carpocapsae are used as organic pesticides because of their ability to prey on live insects. They do so thanks to their symbiotic bacteria, that they release within the hemocoel of insects. In this study we wanted to study how Spodoptera frugiperda, a Lepidoptera pest of crops becoming invasive around the world, defend themselves against the nematodes. We infested S. frugiperda larvae with nematodes and dissected three tissues: the midgut, the fat body and the hemocytes at two time-points: 8 h and 15 h after infestation. We performed single-end RNA-seq on these samples to study the tissue specificity of S. fru response, as well as its dynamic.

2019-12-03 | E-MTAB-7976 | biostudies-arrayexpress

RNA-Sequencing of 3rd-instar Spodoptera frugiperda post-infection with Spodoptera frugiperda ascovirus-1a (SfAV-1a), the ascovirus type species.

Project description:Purpose: We analyzed the 3rd-instar Spodoptera frugiperda response after SfAV-1a infection. Specifically, we targeted three gene types in the infected host namely, mitochondrial, cytoskeleton and innate immunity genes.

2020-02-09 | GSE114901 | GEO

MicroRNAs Mediate Insecticide Tolerance in Spodoptera frugiperda

Project description:Spodoptera frugiperda is the world’s major agricultural pests, and has the distinctive features of high fecundity, strong migratory capacity and high resistance to most insecticides. At present, the control of S. frugiperda in China relies mainly on the spraying of chemical insecticides. MicroRNAs (miRNAs) are a class of small, single-stranded, non-coding RNAs, and play crucial regulatory roles in various physiological processes, including the insecticide resistance in insects. However, little is known about the regulatory roles of miRNAs on the resistance of S. frugiperda to insecticides. In the present research, the miRNAs that were differentially expressed after cyantraniliprole, spinetoram, emamectin benzoate and tetraniliprole treatment were analyzed by RNA-Seq. A total of 504 miRNAs were systematically identified from S. frugiperda, and 24, 22, 31 and 30 miRNAs were differentially expressed after treatments of cyantraniliprole, spinetoram, emamectin benzoate and tetraniliprole. GO and KEGG enrichment analyses were used to predict the function of differentially expressed miRNAs’ target genes. Importantly, ten miRNAs were significantly differentially expressed among the treatments of three insecticides. MiR-278-5p, miR-13b-3p, miR-10485-5p and miR-10483-5p were significantly down-regulated among the treatments of three insecticides by RT-qPCR. Furthermore, overexpression of miR-278-5p, miR-13b-3p, miR-10485-5p and miR-10483-5p significantly increased the mortality of S. frugiperda to cyantraniliprole and emamectin benzoate. The mortality was significantly increased with spinetoram treatment after overexpression of miR-13b-3p, miR-10485-5p and miR-10483-5p. These results suggest that miRNAs, which are differentially expressed in response to insecticides, may play a key regulatory role in the insecticide resistance in S. frugiperda.

2021-12-04 | GSE189968 | GEO

Effect of HdIV or MdBV injection on the Spodoptera frugiperda hemocyte transcriptome

Project description:Comparison of the effects of 2 polydnaviruses (HdIV vs MdBV) injection on L5 Spodoptera frugiperda larvae hemocytes transcriptome.

2011-04-05 | GSE16775 | GEO

Spodoptera frugiperda

Project description:Spodoptera frugiperda Metagenome

| PRJNA815872 | ENA

Spodoptera frugiperda

Project description:Spodoptera frugiperda (WGS)

| PRJNA678657 | ENA

Effect of HdIV or MdBV injection on the Spodoptera frugiperda hemocyte and fat body transcriptomes

Project description:This SuperSeries is composed of the following subset Series: GSE16775: Effect of HdIV or MdBV injection on the Spodoptera frugiperda hemocyte transcriptome GSE16776: Effect of HdIV or MdBV injection on the Spodoptera frugiperda fat body transcriptome Refer to individual Series

2011-04-05 | E-GEOD-17293 | biostudies-arrayexpress

Effect of HdIV or MdBV injection on the Spodoptera frugiperda fat body transcriptome

Project description:Comparison of the effects of 2 polydnaviruses (HdIV vs MdBV) injection on L5 Spodoptera frugiperda larvae fat body transcriptome.

2011-04-05 | GSE16776 | GEO

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