Back

Transcriptomic profile of Anopheles gambiae Kisumu mosquitoes infected by neglected malaria parasite Plasmodium ovale from gametocyte-carriers in Cameroon

Nguete Nguiffo, D.; Tepa, A.; Yougang, A.; Nkemngo Nongley, F.; Ndo, C.; Boussougou-Sambe, S. T.; Ntoumi, F.; Adegnika, A. A.; Borrmann, S.; Wondji, C. C.

2026-01-29 microbiology
10.64898/2026.01.27.701957 bioRxiv
Show abstract

Successful transmission of malaria depends on the complex interactions between the Anopheles mosquito vector and the Plasmodium parasites. Plasmodium ovale, a neglected malaria parasite, successfully develops from ookinete to sporozoite within the Anopheles vector. To elucidate the molecular mechanisms underlying this interaction, we compared RNA-seq-based gene expression profiles of Anopheles gambiae infected with P. ovale and uninfected mosquitoes at 24 hours, 9 days, and 17 days post-infection. The results showed that 2,885 P. ovale transcripts were present only 24 hours after infection. During ookinete invasion (24 h post-infection), differential gene expression analyses revealed the up-regulation of genes related to metabolic processes and the down-regulation of genes associated with cytoskeletal activity in the mosquito. Notably, the non-immune genes with unspecific function AGAP003776, (Fold Change, FC 132.0), AGAP003777, (FC 88.3), and AGAP003778, (FC 104.1), Troponin C (Fold Change, FC 85) and Myofilin (FC 33.3) exhibited the most significant overexpression. Among the immune genes that were upregulated CTL3 (FC 55.9), CLIPB12 (FC 49.4), CTLMA5 (FC 14.5), TRYP7 (FC 24.4), CLIP C9 (FC 12.1) TRYP5 (FC 12.2), LRIM10 (FC 11.2), PPO6 (FC 7.7). This initial analysis of the interaction between P. ovale and An. gambiae identified several well-known candidates for transmission-blocking strategies, including LRIM1, APN1, and D7 family proteins. In addition, new potential candidates, including AGAP003776, AGAP003777, and AGAP003778 cluster, CLIPB12, LRIM10, the APN cluster, AGAP004860, ABCC9, CYP9K1 and GSTD3 were identified. These potential new candidate genes could play a significant role in the development of transmission-blocking strategies for An. gambiae infected with Plasmodium, particularly P. ovale. The urgent functional validation of these genes is required.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Malaria Journal
48 papers in training set
Top 0.1%
40.8%
2
PLOS ONE
4510 papers in training set
Top 24%
7.1%
3
PLOS Neglected Tropical Diseases
378 papers in training set
Top 1%
6.6%
50% of probability mass above
4
Scientific Reports
3102 papers in training set
Top 33%
3.7%
5
PLOS Pathogens
721 papers in training set
Top 3%
3.7%
6
Parasites & Vectors
57 papers in training set
Top 0.5%
3.2%
7
The American Journal of Tropical Medicine and Hygiene
60 papers in training set
Top 2%
2.7%
8
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 2%
2.2%
9
Frontiers in Microbiology
375 papers in training set
Top 4%
2.2%
10
Gene
41 papers in training set
Top 0.8%
1.8%
11
Acta Tropica
13 papers in training set
Top 0.4%
1.5%
12
Infection, Genetics and Evolution
43 papers in training set
Top 0.5%
1.5%
13
Emerging Microbes & Infections
74 papers in training set
Top 1%
1.4%
14
International Journal for Parasitology
21 papers in training set
Top 0.3%
0.9%
15
Frontiers in Immunology
586 papers in training set
Top 7%
0.8%
16
Genomics
60 papers in training set
Top 2%
0.8%
17
Microbial Pathogenesis
13 papers in training set
Top 0.5%
0.8%
18
mSphere
281 papers in training set
Top 6%
0.8%
19
eLife
5422 papers in training set
Top 56%
0.8%
20
Infectious Disease Modelling
50 papers in training set
Top 1%
0.7%
21
Antimicrobial Agents and Chemotherapy
167 papers in training set
Top 2%
0.7%
22
Emerging Infectious Diseases
103 papers in training set
Top 3%
0.7%
23
International Journal of Molecular Sciences
453 papers in training set
Top 17%
0.7%
24
PeerJ
261 papers in training set
Top 17%
0.7%
25
Aquaculture
29 papers in training set
Top 0.8%
0.5%
26
mBio
750 papers in training set
Top 13%
0.5%
27
Life Sciences
25 papers in training set
Top 2%
0.5%
28
Eurosurveillance
80 papers in training set
Top 2%
0.5%