| Literature DB >> 29742167 |
Luís F S Batista1,2, Yuri T Utsunomiya3, Thaís B F Silva4, Mariana M Carneiro2, Joyr S F Paiva2, Rafaela B Silva2, Thaíse Y Tomokane4, Claudio N Rossi5, Acácio D Pacheco6, Rafaela B P Torrecilha3, Fernando T Silveira7, Mary Marcondes6, Cáris M Nunes8, Márcia D Laurenti4.
Abstract
The anti-inflammatory properties of sand fly saliva favor the establishment of the Leishmania infantum infection. In contrast, an antibody response against Lutzomyia longipalpis saliva is often associated with a protective cell-mediated response against canine visceral leishmaniasis. Genetic studies may demonstrate to what extent the ability to secrete anti-saliva antibodies depends on genetic or environmental factors. However, the genetic basis of canine antibody response against sand fly saliva has not been assessed. The aim of this study was to identify chromosomal regions associated with the anti-Lu. longipalpis salivary IgG response in 189 dogs resident in endemic areas in order to provide information for prophylactic strategies. Dogs were classified into five groups based on serological and parasitological diagnosis and clinical evaluation. Anti-salivary gland homogenate (SGH) IgG levels were assessed by Enzyme-Linked Immunosorbent Assay (ELISA). Genomic DNA was isolated from blood samples and genotyped using a SNP chip with 173,662 single nucleotide polymorphism (SNP) markers. The following linear regression model was fitted: IgG level = mean + origin + sex + age + use of a repellent collar, and the residuals were assumed as pseudo-phenotypes for the association test between phenotypes and genotypes (GWA). A component of variance model that takes into account polygenic and sample structure effects (EMMAX) was employed for GWA. Phenotypic findings indicated that anti-SGH IgG levels remained higher in exposed and subclinically infected dogs than in severely diseased dogs even in regression model residuals. Five associated markers were identified on chromosomes 2, 20 and 31. The mapped genes included CD180 (RP105) and MITF related to the rapid activation of B lymphocytes and differentiation into antibody-secreting plasma cells. The findings pointed to chromosomal segments useful for functional confirmation studies and a search for adjuvant molecules of the anti-saliva response.Entities:
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Year: 2018 PMID: 29742167 PMCID: PMC5942812 DOI: 10.1371/journal.pone.0197215
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Principal component analysis (PCA) showing the genetic relationship between the sampled breeds and the grouping of the first two main components (C1 and C2) in three homogeneous sets and three heterogeneous sets.
Labrador Retriever (black), Italian Greyhound (goldenrod), Cocker Spaniel (pink), Rottweiler (blue), German Shepherd Dog (forest green), Belgian Shepherd Dog (red), White Swiss Shepherd Dog (orange), and Golden Retriever (yellow).
Proportion of positive results in the parasitological and serological diagnosis and clinical and biochemical findings of each clinical group.
| Clinical group (n) | PCR+/tested | ELISA+/tested | Clinical findings/tested | Biochemistry findings/tested |
|---|---|---|---|---|
| 0/21 | 0/21 | 0/21 | Hypergammaglobulinemia (0/21) | |
| 0/12 | 12/12 | 0/12 | Hypergammaglobulinemia (0/12) | |
| 56/56 | 18/56 | 0/56 | Hypergammaglobulinemia (10/56) | |
| 52/52 | 39/52 | Pale mucosa (5/52) | Hypergammaglobulinemia (35/52) | |
| 24/24 | 24/24 | Pale mucosa (6/24) | Hypergammaglobulinemia (21/24) |
* Reference values according to Kaneko et al. [16]
Position, frequency, and significance of significantly associated SNPs and positional candidate genes potentially associated with the phenotypes.
| Phenotype | SNP | Chromosome position | Frequency | Genes | |
|---|---|---|---|---|---|
| anti- | BICF2P328549 | 2:52946782 | 7,60% | 6.5 × 10−6 | |
| BICF2P1464798 | 20:4931871 | 43,20% | 4.86 × 10−6 | ||
| BICF2P598981 | 20:22812312 | 39% | 2.5X10-6 | ||
| BICF2S23210577 | 31:31558977 | 37,6% | 8.39x10-6 | ||
| BICF2S22913770 | 31:31580371 | 37,6% | 8.39x10-6 |
CD180 –gene for CD180; RAF1 –gene for Raf-1 Proto-Oncogene, Serine/Threonine Kinase; RBSN–gene for Rabenosyn-5; MITF–gene for Microphthalmia-Associated Transcription Factor; DIRK1A - Dual Specificity Tyrosine-Phosphorylation Regulated Kinase 1A; SIM2—Single-Minded Family BHLH Transcription Factor 2.