Transcriptional control of the Cryptosporidium life cycle.
Katelyn A WalzerJayesh TandelJessica H ByerlyAbigail M DanielsJodi A GullicksrudEoin C WhelanStephen D CarroElise KrespanDaniel P BeitingBoris StriepenPublished in: Nature (2024)
The parasite Cryptosporidium is a leading agent of diarrhoeal disease in young children, and a cause and consequence of chronic malnutrition 1,2 . There are no vaccines and only limited treatment options 3 . The parasite infects enterocytes, in which it engages in asexual and sexual replication 4 , both of which are essential to continued infection and transmission. However, their molecular mechanisms remain largely unclear 5 . Here we use single-cell RNA sequencing to reveal the gene expression programme of the entire Cryptosporidium parvum life cycle in culture and in infected animals. Diverging from the prevailing model 6 , we find support for only three intracellular stages: asexual type-I meronts, male gamonts and female gametes. We reveal a highly organized program for the assembly of components at each stage. Dissecting the underlying regulatory network, we identify the transcription factor Myb-M as the earliest determinant of male fate, in an organism that lacks genetic sex determination. Conditional expression of this factor overrides the developmental program and induces widespread maleness, while conditional deletion ablates male development. Both have a profound impact on the infection. A large set of stage-specific genes now provides the opportunity to understand, engineer and disrupt parasite sex and life cycle progression to advance the development of vaccines and treatments.
Keyphrases
- life cycle
- single cell
- transcription factor
- genome wide
- gene expression
- rna seq
- dna methylation
- plasmodium falciparum
- genome wide identification
- quality improvement
- dna binding
- poor prognosis
- high throughput
- copy number
- binding protein
- clinical trial
- reactive oxygen species
- mass spectrometry
- long non coding rna
- molecularly imprinted
- randomized controlled trial
- network analysis