RESUMO
The microbiome of the mosquito Aedes aegypti is largely determined by the environment and influences mosquito susceptibility for arthropod-borne viruses (arboviruses). Larval interactions with different bacteria can influence adult Ae. aegypti replication of arboviruses, but little is known about the role that mosquito host genetics play in determining how larval-bacterial interactions shape Ae aegypti susceptibility to arboviruses. To address this question, we isolated single bacterial isolates and complex microbiomes from Ae. aegypti larvae from various field sites in Senegal. Either single bacterial isolates or complex microbiomes were added to two different genetic backgrounds of Ae. aegypti in a gnotobiotic larval system. Using 16S amplicon sequencing we show that similarities in bacterial community structures when given identical microbiomes between different genetic backgrounds of Ae. aegypti was dependent on the source microbiome, and the abundance of single bacterial taxa differed between Ae. aegypti genotypes. Using single bacterial isolates or the entire preserved complex microbiome, we tested the ability of specific microbiomes to drive differences in infection rates for Zika virus in different genetic backgrounds of Ae. aegypti . We observed that the proportion of Zika virus-infected adults was dependent on the interaction between the larval microbiome and Ae. aegypti host genetics. By using the larval microbiome as a component of the environment, these results demonstrate that interactions between the Ae. aegypti genotype and its environment can influence Zika virus infection. As Ae. aegypti expands and adapts to new environments under climate change, an understanding of how different genotypes interact with the same environment will be crucial for implementing arbovirus transmission control strategies.
RESUMO
This study presents serum concentrations of pregnancy-associated glycoprotein (PAG), oestrone sulphate (E1-S) and progesterone (P4), and the effects of some dam and foetus-related factors on these profiles during gestation in Borana and crossbred cattle. The PAG concentrations at 4th week post-conception ranged from 1.5-5.5 and 2.1-4.7 ng/ml in Borana (n = 6) and crossbred (n = 8) cattle, respectively. The mean PAG concentrations increased progressively from 4th to 33rd week of gestation (from 3.3-173 ng/ml for Borana and 4.2-240 ng/ml for crossbred cattle) and reached peak around calving. Breed, parity status, dam body weight, foetal sex and foetal birth weight significantly influenced the PAG concentrations. After delivery, the PAG concentrations declined steadily to 5.7 ng/ml in Borana (n = 7) and 3.9 ng/ml in crossbred (n = 6) cattle 10 weeks post-partum. The serum E1-S concentrations at 17th week of pregnancy ranged from 0.3-2.6 and 0.9-5.7 ng/ml in Borana (n = 8) and crossbred (n = 9) cattle, respectively. The mean E1-S concentrations increased progressively from 17th to 33rd week of gestation (from 1.1-4.6 ng/ml for Borana and 2.7-10.8 ng/ml for crossbred). Breed, parity status, dam body weight and foetal sex significantly influenced E1-S concentrations. The P4 concentrations at 4th week of pregnancy ranged from 3.2-5.1 and 1.7-8.9 ng/ml in Borana (n = 6) and crossbred (n = 8) cattle, respectively. The P4 level remained elevated throughout pregnancy. This study indicated that the serum PAG and P4 concentrations at 4th and E1-S approximately 17th week of pregnancy were above the cut-off value for pregnancy test and the hormonal profiles observed were comparable to the previous reports. Furthermore, the PAG and E1-S profiles were considerably influenced by factors such as breed, weight and parity status of the dam, and foetal sex and foetal birth weight (only PAG).
