Literature DB >> 21074637

Are associations of immune gene expression, body condition and parasite burden detectable in nature? A case study in an endemic rodent from the Brazilian Atlantic Forest.

Nina Schwensow1, Jan Axtner, Simone Sommer.   

Abstract

Host-parasite co-evolutionary processes are the most important drivers shaping the host's immune system. During successful host immune responses to helminthic infections, usually a balanced cascade of different immune genes like MHC, T helper cell 1 and 2 (Th1 and Th2) cytokines is expressed. This information comes largely from human or laboratory studies. The situation under which the immune system has evolved, however, is more complicated and natural variation need to be included to provide a more complete picture of co-evolutionary processes. We employed quantitative real-time PCR (qPCR) to explore associations of immune gene expression, body mass index (BMI) and helminth burden in a wild population of a non-model rodent (Delomys sublineatus). Our study shows that a typical Th2 response with a combination of inflammatory and anti-inflammatory components is detectable also under natural conditions. Complex associations of the expression levels of TGF-β, IL-10, IL-4 and IL-2 with different parasites and with the number of different helminth infections, respectively, were detected. A positive association of the body mass index with the expression of IL-2 and IL-4 may indicate a link between host condition and the inflammatory part of an immune reaction. Our study shows for the first time that despite several potentially confounding parameters naturally present in a wildlife study, typical patterns of immune gene expression are detectable and influence helminth burden. Thus, in addition to structural variance of immune-relevant genes their expression might reflect host-parasite coevolutionary processes.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21074637     DOI: 10.1016/j.meegid.2010.10.017

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  8 in total

1.  The functional importance of sequence versus expression variability of MHC alleles in parasite resistance.

Authors:  Jan Axtner; Simone Sommer
Journal:  Genetica       Date:  2012-11-24       Impact factor: 1.082

2.  Insights into the complex associations between MHC class II DRB polymorphism and multiple gastrointestinal parasite infestations in the striped mouse.

Authors:  Götz Froeschke; Simone Sommer
Journal:  PLoS One       Date:  2012-02-28       Impact factor: 3.240

3.  Identification, characterisation and expression analysis of natural killer receptor genes in Chlamydia pecorum infected koalas (Phascolarctos cinereus).

Authors:  Katrina M Morris; Marina Mathew; Courtney Waugh; Beata Ujvari; Peter Timms; Adam Polkinghorne; Katherine Belov
Journal:  BMC Genomics       Date:  2015-10-15       Impact factor: 3.969

4.  Possible influence of B chromosomes on genes included in immune response and parasite burden in Apodemus flavicollis.

Authors:  Tanja Adnađević; Vladimir M Jovanović; Jelena Blagojević; Ivana Budinski; Borislav Cabrilo; Olivera Bjelić-Čabrilo; Olivera Bijelić-Čabrilo; Mladen Vujošević
Journal:  PLoS One       Date:  2014-11-05       Impact factor: 3.240

Review 5.  Immunology in wild nonmodel rodents: an ecological context for studies of health and disease.

Authors:  J A Jackson
Journal:  Parasite Immunol       Date:  2015-05       Impact factor: 2.280

6.  Lice community structure infesting Trinomys iheringi (Thomas, 1911) - Ocurrence, sex bias and climatic variables on tropical island.

Authors:  Elizabete Captivo Lourenço; Ana Carolina Lacerda; Helena Godoy Bergallo
Journal:  Int J Parasitol Parasites Wildl       Date:  2020-11-18       Impact factor: 2.674

7.  Immune gene expression profiling of Proliferative Kidney Disease in rainbow trout Oncorhynchus mykiss reveals a dominance of anti-inflammatory, antibody and T helper cell-like activities.

Authors:  Bartolomeo Gorgoglione; Tiehui Wang; Christopher J Secombes; Jason W Holland
Journal:  Vet Res       Date:  2013-07-16       Impact factor: 3.683

8.  MHC genotyping of non-model organisms using next-generation sequencing: a new methodology to deal with artefacts and allelic dropout.

Authors:  Simone Sommer; Alexandre Courtiol; Camila J Mazzoni
Journal:  BMC Genomics       Date:  2013-08-09       Impact factor: 3.969

  8 in total

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