Literature DB >> 22870893

Spleen index and mannose-binding lectin levels in four channel catfish families exhibiting different susceptibilities to Flavobacterium columnare and Edwardsiella ictaluri.

Benjamin R LaFrentz1, Craig A Shoemaker, Natha J Booth, Brian C Peterson, Donald D Ourth.   

Abstract

Edwardsiella ictaluri and Flavobacterium columnare are two bacterial pathogens that affect channel catfish Ictalurus punctatus aquaculture. At the Catfish Genetics Research Unit (U.S. Department of Agriculture, Agricultural Research Service), some progress has been made in selectively breeding for resistance to E. ictaluri; however, the susceptibility of these families to F. columnare is not known. Our objectives were to obtain baseline information on the susceptibility of channel catfish families (maintained as part of the selective breeding program) to E. ictaluri and F. columnare and to determine whether the spleen index and plasma levels of mannose-binding lectin (MBL) are predictive indicators of susceptibility to these pathogens. Four channel catfish families were used: family A was randomly chosen from spawns of fish that were not selectively bred for resistance; families B, C, and D were obtained after selection for resistance to E. ictaluri. All four families were immersion challenged with both bacterial pathogens; the spleen index and plasma MBL levels of unchallenged fish from each family were determined. Mean cumulative percent mortality (CPM) after E. ictaluri challenge ranged from 4% to 33% among families. Families A and B were more susceptible to F. columnare (mean CPM of three independent challenges = 95% and 93%) than families C and D (45% and 48%), demonstrating that there is genetic variation in resistance to F. columnare. Spleen index values and MBL levels were not significantly different, indicating that these metrics are not predictive indicators of F. columnare or E. ictaluri susceptibility in the four tested families. Interestingly, the two families that exhibited the highest CPM after F. columnare challenges had the lowest CPM after E. ictaluri challenge. Further research on larger numbers of families is needed to determine whether there is any genetic correlation between resistance to E. ictaluri and resistance to F. columnare.

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Year:  2012        PMID: 22870893     DOI: 10.1080/08997659.2012.675936

Source DB:  PubMed          Journal:  J Aquat Anim Health        ISSN: 0899-7659            Impact factor:   1.625


  6 in total

Review 1.  Physiology and immunology of mucosal barriers in catfish (Ictalurus spp.).

Authors:  Eric Peatman; Miles Lange; Honggang Zhao; Benjamin H Beck
Journal:  Tissue Barriers       Date:  2015-07-15

2.  Evaluating Stress-Mediated Microbial Pathogenesis in Golden Shiners, Notemigonus crysoleucas.

Authors:  Sindhu Kaimal; Bradley D Farmer; Nilima N Renukdas; Hisham A Abdelrahman; Anita M Kelly
Journal:  Front Physiol       Date:  2022-05-11       Impact factor: 4.755

3.  A genome-wide association study in catfish reveals the presence of functional hubs of related genes within QTLs for columnaris disease resistance.

Authors:  Xin Geng; Jin Sha; Shikai Liu; Lisui Bao; Jiaren Zhang; Ruijia Wang; Jun Yao; Chao Li; Jianbin Feng; Fanyue Sun; Luyang Sun; Chen Jiang; Yu Zhang; Ailu Chen; Rex Dunham; Degui Zhi; Zhanjiang Liu
Journal:  BMC Genomics       Date:  2015-03-17       Impact factor: 3.969

Review 4.  Columnaris disease in fish: a review with emphasis on bacterium-host interactions.

Authors:  Annelies Maria Declercq; Freddy Haesebrouck; Wim Van den Broeck; Peter Bossier; Annemie Decostere
Journal:  Vet Res       Date:  2013-04-24       Impact factor: 3.683

Review 5.  The innate immune-related genes in catfish.

Authors:  Lei Gao; Chongbo He; Xueguang Liu; Hao Su; Xianggang Gao; Yunfeng Li; Weidong Liu
Journal:  Int J Mol Sci       Date:  2012-11-02       Impact factor: 5.923

6.  Potential drivers of virulence evolution in aquaculture.

Authors:  David A Kennedy; Gael Kurath; Ilana L Brito; Maureen K Purcell; Andrew F Read; James R Winton; Andrew R Wargo
Journal:  Evol Appl       Date:  2016-01-11       Impact factor: 5.183

  6 in total

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