ArticleBMC genomics2016
Comparative transcriptomics and proteomics of three different aphid species identifies core and diverse effector sets.
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
52 citing papers in PubMed, 122 citations in OpenAlex.
- Aphid effector pair Mp1-Mp58 forms an effector complex that targets a host trafficking protein.Journal of experimental botany · 2026Article
- Gene expression of pea aphid (Hemiptera: Aphididae) salivary effectors changes based on feeding duration and plant species.Journal of insect science (Online) · 2026Article
- Transcriptomic divergences of larval labial salivary glands facilitate host-plant range oscillations between specialist and generalist Helicoverpa species.BMC genomics · 2026Article
- Bioinformatics analysis of Rickettsia typhi autoimmune associations and screening of Streptomyces-derived inhibitors.BioData mining · 2025Article
- Article
- Identification of candidate host-manipulating effector genes in Aphis gossypii (Hemiptera: Aphididae) using a combination of transcriptome, genome, and differential gene expression data.Journal of insect science (Online) · 2025Article
- Host plant flooding stress in soybeans differentially impacts avirulent and virulent soybean aphid (Aphis glycines) biotypes.Scientific reports · 2025Article
- A Comprehensive Transcriptomic and Proteomics Analysis of Candidate Secretory Proteins in Rose Grain Aphid,Current issues in molecular biology · 2024Article
- Multi-omics approaches define novel aphid effector candidates associated with virulence and avirulence phenotypes.BMC genomics · 2024Article
- Two chromosome-level genome assemblies of galling aphids Slavum lentiscoides and Chaetogeoica ovagalla.Scientific data · 2024Article
- Comparative transcriptomics of a generalist aphid,Frontiers in plant science · 2024Article
- LC‒MS/MS and transcriptome analyses reveal saliva components of the seed-feeding truebug Pyrrhocoris apterus.Crop health · 2023Article
- SmCSP4 from aphid saliva stimulates salicylic acid-mediated defence responses in wheat by interacting with transcription factor TaWKRY76.Plant biotechnology journal · 2023Article
- A Method for Identification of Biotype-Specific Salivary Effector Candidates of Aphid.Insects · 2023Article
- Hybridisation has shaped a recent radiation of grass-feeding aphids.BMC biology · 2023Article
- Article
- Two salivary proteins Sm10 and SmC002 from grain aphidFrontiers in plant science · 2023Article
- Transcriptome analysis of aphids exposed to glandular trichomes in tomato reveals stress and starvation related responses.Scientific reports · 2022Article
- Virulence strategies of an insect herbivore and oomycete plant pathogen converge on host E3 SUMO ligase SIZ1.The New phytologist · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAphids are phloem-feeding insects that cause significant economic losses to agriculture worldwide. While feeding and probing these insects deliver molecules, called effectors, inside their host to enable infestation. The identification and characterization of these effectors from different species that vary in their host range is an important step in understanding the infestation success of aphids and aphid host range variation. This study employs a multi-disciplinary approach based on transcriptome sequencing and proteomics to identify and compare effector candidates from the broad host range aphid Myzus persicae (green peach aphid) (genotypes O, J and F), and narrow host range aphids Myzus cerasi (black cherry aphid) and Rhopalosiphum padi (bird-cherry oat aphid).
resultsUsing a combination of aphid transcriptome sequencing on libraries derived from head versus body tissues as well as saliva proteomics we were able to predict candidate effectors repertoires from the different aphid species and genotypes. Among the identified conserved or core effector sets, we identified a significant number of previously identified aphid candidate effectors indicating these proteins may be involved in general infestation strategies. Moreover, we identified aphid candidate effector sequences that were specific to one species, which are interesting candidates for further validation and characterization with regards to species-specific functions during infestation. We assessed our candidate effector repertoires for evidence of positive selection, and identified 49 candidates with DN/DS ratios >1. We noted higher rates of DN/DS ratios in predicted aphid effectors than non-effectors. Whether this reflects positive selection due to co-evolution with host plants, or increased neofunctionalization upon gene duplication remains to be investigated.
conclusionOur work provides a comprehensive overview of the candidate effector repertoires from three different aphid species with varying host ranges. Comparative analyses revealed candidate effectors that are most likely are involved in general aspects of infestation, whereas others, that are highly divergent, may be involved in specific processes important for certain aphid species. Insights into the overlap and differences in aphid effector repertoires are important in understanding how different species successfully infest different ranges of plant species.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.