Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5540954 | Fish & Shellfish Immunology | 2017 | 7 Pages |
Abstract
NLRC (the nucleotide-oligomerization domain (NOD)-like receptor subfamily C) consists of teleost-specific NLRs (NOD-like receptors) and plays pivotal roles in microbial recognition and regulation of innate immune response. In this study, we cloned and characterized a NLRC3-like gene (MamNLRC3-like) from blunt snout bream (Megalobrama amblycephala) by using the quantitative real-time PCR method, and analyzed the correlation between its polymorphisms and resistance to Aeromonas hydrophila infection. The full length cDNA of MamNLRC3-like was 2863 bp, with a 5â²-UTR of 169 bp, ORF of 2301 bp and 3â²-UTR of 393 bp, encoding 766 amino acid residues. MamNLRC3-like consisted of a conserved NACHT domain, a fish-specific NACHT associated domain (FISNA) and a PYRIN effective domain. During early developmental stages, MamNLRC3-like was most highly expressed at 39.4 hpf (hours post fertilization, hatching stage) and constitutively detected in various healthy tissues. The expression of MamNLRC3-like was strongly induced by A. hydrophila infection and peaked in the head kidney, liver, intestine, and trunk kidney at 12 h post infection. Six SNPs (single nucleotide polymorphisms) from MamNLRC3-like, with 2 in introns and 4 in exons, were identified by direct sequencing, in which 6515C/T was a novel non-synonymous mutation. HRM (high resolution melting) genotyping of the 6 loci showed that locus 6515C/T SNP was associated with the resistance/susceptibility of blunt snout bream to A. hydrophila infection (P < 0.01). The CC genotype fish were more resistant than CT carriers (P < 0.01). This study suggests that the MamNLRC3-like gene might play an important role in the innate immunity of blunt snout bream and could be used as a candidate marker for genetic selection of A. hydrophila-resistant blunt snout bream.
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Authors
Fengjuan Zhou, Qifeng Zhan, Zhujin Ding, Lina Su, Jun Fan, Lei Cui, Nan Chen, Weimin Wang, Hong Liu,