RNA-Seq of Phenotypically Distinct Eimeria maxima Strains Reveals Coordinated and Contrasting Maturation and Shared Sporogonic Biomarkers with Eimeria acervulina .
Matthew S TuckerCelia N O'BrienAlexis N JohnsonJitender P DubeyBenjamin M RosenthalMark C JenkinsPublished in: Pathogens (Basel, Switzerland) (2023)
Strains of Eimeria maxima , an enteric parasite of poultry, vary in virulence. Here, we performed microscopy and RNA sequencing on oocysts of strains APU-1 (which exhibits more virulence) and APU-2. Although each underwent parallel development, APU-1 initially approached maturation more slowly. Each strain sporulated by hour 36; their gene expression diverged somewhat thereafter. Candidate biomarkers of viability included 58 genes contributing at least 1000 Transcripts Per Million throughout sporulation, such as cation-transporting ATPases and zinc finger domain-containing proteins. Many genes resemble constitutively expressed genes also important to Eimeria acervulina. Throughout sporulation, the expression of only a few genes differed between strains; these included cyclophilin A, EF-1α, and surface antigens (SAGs). Mature and immature oocysts uniquely differentially express certain genes, such as an X-Pro dipeptidyl-peptidase domain-containing protein in immature oocysts and a profilin in mature oocysts. The immature oocysts of each strain expressed more phosphoserine aminotransferase and the mature oocysts expressed more SAGs and microneme proteins. These data illuminate processes influencing sporulation in Eimeria and related genera, such as Cyclospora , and identify biological processes which may differentiate them. Drivers of development and senescence may provide tools to assess the viability of oocysts, which would greatly benefit the poultry industry and food safety applications.
Keyphrases
- escherichia coli
- genome wide
- rna seq
- gene expression
- single cell
- bioinformatics analysis
- genome wide identification
- antimicrobial resistance
- pseudomonas aeruginosa
- staphylococcus aureus
- blood pressure
- poor prognosis
- dna methylation
- genome wide analysis
- machine learning
- biofilm formation
- high resolution
- dna damage
- endothelial cells
- oxidative stress
- electronic health record
- climate change
- stress induced
- candida albicans
- high speed
- optical coherence tomography
- human health
- protein protein
- ionic liquid
- artificial intelligence
- life cycle
- trypanosoma cruzi