Identification and bioinformatic analysis of invA gene of Salmonella in free range chicken.

Salmonella is a serious cause of the health issues in human and animal worldwide. Salmonella has been isolated from different biological samples and it considers as the key role in induction of inflammation of gastrointestinal tract which in turn cause diarrhoea in different species. To further understand the involvement of Salmonella in contaminating and infecting fresh eggs and meat of free-range chicken. This study aimed to establish the microbiological and molecular detections of Salmonella in the cloaca of the free-range chicken and to identify predicted biological functions using Kyoto Encyclopedia of Gene and Genomic (KEGG) pathways and protein-protein interaction. Cloacal swabs were collected from free range chicken raised in the local farm in Duhok city. The isolates were cultured and biochemical test performed using XLD and TSI, respectively. Molecular detection and functional annotation of invA gene was carried out using Conventional PCR and bioinformatics approaches. The present study found that Salmonella was detected in 36 out of 86 samples using microbiological methods. To confirm these findings, invA gene was utilised and 9 out of 36 Salmonella isolates have shown a positive signal of invA by agarose gel. In addition, bioinformatic analysis revealed that invA gene was mainly associated with bacterial secretion processes as well as their KEGG terms and Protein-Protein Interaction were involved in bacterial invasion and secretion pathways. These findings suggested that invA gene plays important role in regulating colonization and invasion processes of Salmonella within the gut host in the free range chicken.

Relationships between size, steroidogenesis and miRNA expression of the bovine corpus luteum.

In a previous study, a subset of miRNAs were identified the expression of which increases substantially during the follicle-luteal transition in cattle. Here, we investigated the functional involvement of some of these miRNAs (miR-96, miR-182, miR-132, miR-21, miR-378) by determining whether there is an association in vivo between their expression in the corpus luteum (CL), CL size and progesterone production. The two largest and two smallest CL were collected from 12 donor beef heifers on Day 7 following ovarian super-stimulation (Day 0 = 28-32 h after first standing to be mounted). Additionally, the CL and a plasma sample were collected from 29 recipient heifers on Day 15. Luteal expression of miRNAs and mRNAs, and plasma progesterone concentrations were quantified by RT-qPCR and RIA, respectively. There were no differences in the mean expression of any miRNAs examined or the steroidogenic enzymes, STAR or CYP11A1, between the largest and smallest CL in donor heifers (P > 0.1). In addition, there were no significant correlations of luteal volume or weight with any miRNA, CYP11A1 or STAR in donor heifers. However, a correlation (r ≥ 0.5, P ≤ 0.001) existed between the transcript levels of CYP11A1 and STAR in the CL, as well as between each of those and miR-182 levels. In addition, CYP11A1 abundance was moderately correlated (r ≤ 0.4, P < 0.05) with each of miR-96 and miR-378. In recipient heifers, progesterone levels were moderately correlated with luteal weight (r = 0.41, P = 0.03) but not with the expression of any miRNA, CYP11A1 or STAR (P > 0.1). Moreover, luteal CYP11A1 and STAR were correlated (r = 0.6, P ≤ 0.001) with miR-182 as well as with each other, consistent with data in donor heifers. Finally, both CYP11A1 and STAR were moderately correlated (r ≤ 0.5) with miR-132 and, in the case of STAR, with miR-378. In summary, there was no association between either luteal weight/volume or plasma progesterone concentrations and any of the miRNAs analysed in donor and recipient heifers. However, CYP11A1 and STAR transcript levels were significantly correlated with several miRNAs, most notably miR-182, as well as with each other, in luteal tissues from both donor and recipient heifers. This finding confirms results of previous in vitro studies and, importantly, provides the first in vivo evidence of a role of the miR-183-96-182 cluster in regulating luteal steroidogenesis.

A miRNA target network putatively involved in follicular atresia.

In a previous microarray study, we identified a subset of micro RNAS (miRNAs), which expression was distinctly higher in atretic than healthy follicles of cattle. In the present study, we investigated the involvement of those miRNAs in granulosa and theca cells during atresia. Reverse Transcription-quantitative Polymerase Chain Reaction (RT-qPCR) confirmed that miR-21-5p/-3p, miR-150, miR-409a, miR-142-5p, miR-378, miR-222, miR-155, and miR-199a-5p were expressed at higher levels in atretic than healthy follicles (9-17 mm, classified based on steroidogenic capacity). All miRNAs except miR-21-3p and miR-378 were expressed at higher levels in theca than granulosa cells. The expression of 13 predicted miRNA targets was determined in follicular cells by RT-qPCR, revealing downregulation of HIF1A, ETS1, JAG1, VEGFA, and MSH2 in either or both cell types during atresia. Based on increases in miRNA levels simultaneous with decreases in target levels in follicular cells, several predicted miRNA target interactions were confirmed that are putatively involved in follicular atresia, namely miR-199a-5p/miR-155-HIF1A in granulosa cells, miR-155/miR-222-ETS1 in theca cells, miR-199a-5p-JAG1 in theca cells, miR-199a-5p/miR-150/miR-378-VEGFA in granulosa and theca cells, and miR-155-MSH2 in theca cells. These results offer novel insight on the involvement of miRNAs in follicle development by identifying a miRNA target network that is putatively involved in follicle atresia.