Elsevier

Molecular Immunology

Volume 127, November 2020, Pages 67-77
Molecular Immunology

A tandem-repeat galectin-4 from Nile tilapia (Oreochromis niloticus) is involved in immune response to bacterial infection via mediating pathogen recognition and opsonization

https://doi.org/10.1016/j.molimm.2020.08.022Get rights and content

Highlights

  • A tandem-repeat galectin-4 (OnGal-4) was identified and characterized from Nile tilapia, Oreochromis niloticus.

  • OnGal-4 was widely distributed in various tissues and was induced by bacterial infection in vivo or in vitro.

  • rOnGal-4 had bacterial binding and agglutination activities, as well as enhanced the bactericidal activity and cytokines expressions of Mo/MΦ.

  • OnGal-4 overexpression in vivo could increase tilapia survival rate by reducing tissue damage and inflammation.

Abstract

Galectins are the family of carbohydrate-binding proteins that participate in host-pathogen interaction. In this study, a galectin-4 homolog (OnGal-4) from Nile tilapia (Oreochromis niloticus) was characterized. The open reading frame of OnGal-4 was 1194 bp, encoding a peptide of 397 amino including two CRD regions and two carbohydrate recognition sites. OnGal-4 mRNA was expressed in all examined tissues with the highest level in spleen. After Streptococcus agalactiae (S.agalactiae) challenge, the OnGal-4 expression was up-regulated in the spleen, head kidney, brain, and monocytes/macrophages (Mo/MΦ). The in vitro experiments showed that recombinant OnGal-4 (rOnGal-4) protein could bind and agglutinate S.agalactiae and A.hydrophila. Also, rOnGal-4 could induce cytokines expressions and increased bactericidal activity of Mo/MΦ. Further in vivo analysis indicated that OnGal-4 overexpression could protect O.niloticus from S.agalactiae infection through modulating inflammation response. Our study suggested that OnGal-4 could improve immune response against bacterial infection by mediating pathogen recognition and opsonization.

Introduction

Galectins are kinds of proteins that bind specifically to beta-galactoside sugars, which have a variety of functions including modulation of cell-cell interactions, cell-matrix adhesion and signal transduction(Niu et al., 2019c). Galectins are widely expressed in different tissues and most immune cells including dendritic cells, macrophages, mast cells, natural killer cells, and activated B and T cells(Stowell et al., 2008; Vasta, 2009). The secreted galectins from immune cells can oligomerize to form lattice that trigger immune responses via binding to surface polysaccharides of pathogen(Rabinovich et al., 2002, 2007b; Vasta, 2012). To date, fifteen galectins have been discovered in mammals and are subdivided into three groups based on their conserved carbohydrate recognition domain (CRD): “prototype”, “chimera” and “tandem repeat” (Bai et al., 2017; Niu et al., 2019a).

As a tandem-repeat galectin, galectin-4 (Gal-4) possess two CRDs with distinct specificity, which make Gal-4 can serve as a crosslinker and vital regulator in many biological processes(Cao and Guo, 2016; Oda et al., 1993). In mammals, Gal-4 is mainly expressed in intestine and the intestinal Gal-4 is considered as the largest reservoir of macrophages (Platt and Mowat, 2008) that can induces the productions of inflammation factors (Hokama et al., 2004; Hong et al., 2019). Besides, Gal-4 can bind to blood group B-associated antigens expressed on E. coli and lead to its death(Stowell et al., 2010). In experimental colitis models, Gal-4 improves mucosal inflammation and reduces the secretion of pro-inflammatory cytokines (Paclik et al., 2008; Satelli et al., 2011). However, the information of Gal-4 in lower vertebrate is quite limited.

Nile tilapia (Oreochromis niloticus) is one of the most important economically farmed fish species in the world (Sifa et al., 2002). Recently, the outbreak of bacterial disease has resulted in huge loss in tilapia culture(Suanyuk et al., 2005). While the roles of tilapia Gal-4 during bacterial infection remains unclear. In this study, a tandem-repeat galectin-4 (OnGal-4) was obtained from O. niloticus. The bacterial binding and agglutination activity, the regulatory roles on monocytes/macrophages (Mo/MΦ) activity and protective effect against bacterial infection of OnGal-4 were investigated. Our data will expand the knowledge about the mechanism of fish galectins against bacterial infection.

Section snippets

Fish preparation and bacterial challenge

Nile tilapia (50 ± 10 g) were purchased from a local fish farm in Zhanjinag, Guangdong, China. The fish were cultured in 1000 l tank with aerated freshwater under 28 ± 2 °C for a month (Huang et al., 2018a). All experiments were conducted according to the principles and procedures of Guangdong Province laboratory animal management regulations(Niu et al., 2019c).

In order to study the expression of OnGal-4 in healthy tilapia, we collected tissues including brain, head kidney, gill, spleen,

Sequence analysis of OnGal-4

The ORF of OnGal-4 is 1196 bp, and encodes a peptide of 397 amino with two CRD regions and two carbohydrate recognition sites. The predicted OnGal-4 protein size is 42 KDa and the theoretical pI is 5.07. Multiple sequence alignment showed that OnGal-4 was homologous to other species and share the highest identity with Larimichthys crocea (83.33%) (Fig. 1). Moreover, the phylogenetic tree results showed OnGal-4 is clustered with other fish Gal-4 and is closest to Scophthalmus maximus(Fig.S1).

Tissue- and cell-specific distribution of OnGal-4

Discussion

Galectins can interact with glycoproteins or glycolipids on the cell surface and extracellular matrix through CRD, thereby participating in innate and adaptive immune processes (Liu and Rabinovich, 2005; Rabinovich et al., 2007a). In this study, a tandem-repeat-type galectin-4 (OnGal-4) was identified and characterized from Nile tilapia. The roles of OnGal-4 on immune recognition and opsonization, as well as protective effect against bacterial infection were investigated. The predicted OnGal-4

CRediT authorship contribution statement

Jinzhong Niu: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing. Xinchao Liu: Validation, Formal analysis. Zhiqiang Zhang: Validation, Formal analysis. Yu Huang: Investigation, Resources. Jufen Tang: Investigation, Resources. Bei Wang: Validation, Formal analysis, Investigation, Resources. Yishan Lu: Validation, Formal analysis, Investigation, Resources. Jia Cai: Conceptualization,

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant no. 31302226, 31572651, National Key R & D Program of China (2018YFD0900501), Technology Planning Project of Guangdong Province of China (grant no. 2015A020209181 and 2017A030307033), the Fund of Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang) (ZJW-2019-05) and Special foundation for “achieving the first class” of Guangdong Province (231419013).

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