@article{fdi:010081094,
  title = {{U}sing sc{RNA}-seq to identify transcriptional variation in the {M}alaria parasite ookinete stage},
  author = {{W}itmer, {K}. and {D}ahalan, {F}. {A}. and {M}etcalf, {T}. and {T}alman, {A}rthur and {H}owick, {V}. {M}. and {L}awniczak, {M}. {K}. {N}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he crossing of the mosquito midgut epithelium by the malaria parasite motile ookinete form represents the most extreme population bottleneck in the parasite life cycle and is a prime target for transmission blocking strategies. {H}owever, we have little understanding of the clonal variation that exists in a population of ookinetes in the vector, partially because the parasites are difficult to access and are found in low numbers. {W}ithin a vector, variation may result as a response to specific environmental cues or may exist independent of those cues as a potential bet-hedging strategy. {H}ere we use single-cell {RNA}-seq to profile transcriptional variation in {P}lasmodium berghei ookinetes across different vector species, and between and within individual midguts. {W}e then compare our results to low-input transcriptomes from individual {A}nopheles coluzzii midguts infected with the human malaria parasite {P}lasmodium falciparum. {A}lthough the vast majority of transcriptional changes in ookinetes are driven by development, we have identified candidate genes that may be responding to environmental cues or are clonally variant within a population. {O}ur results illustrate the value of single-cell and low-input technologies in understanding clonal variation of parasite populations.},
  keywords = {ookinete ; {P}lasmodium ; sc{RNA}-seq ; transcriptomics ; malaria ; {A}nopheles},
  booktitle = {},
  journal = {{F}rontiers in {C}ellular and {I}nfection {M}icrobiology},
  volume = {11},
  numero = {},
  pages = {604129 [13 p.]},
  ISSN = {2235-2988},
  year = {2021},
  DOI = {10.3389/fcimb.2021.604129},
  URL = {https://www.documentation.ird.fr/hor/fdi:010081094},
}