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Insights into gene expression profiling of natural resistance to coccidiosis in contrasting chicken lines.

Heams T, Bed'hom B, Rebours E, Jaffrezic F, Pinard-van der Laan MH - BMC Proc (2011)

Bottom Line: Unravelling the genetic bases of such variations could provide new clues for protection strategies.Gene expression networks were constructed in parallel, identifying highly connected genes.Comparing information from differential gene lists and gene network analysis allows one to highlight potential pivotal genes in the infection process, one of which was located in a putative significant QTL region for infection associated lesions.

View Article: PubMed Central - HTML - PubMed

Affiliation: INRA/AgroParisTech, UMR1313 Génétique Animale et Biologie Intégrative, F-78352 Jouy-en-Josas Cedex, France. thomas.heams@agroparistech.fr.

ABSTRACT
Coccidiosis is a parasitic disease with major economic impact, one of whose main causative agents is Eimeria tenella. Chicken breeds display variable natural resistance to this disease. Unravelling the genetic bases of such variations could provide new clues for protection strategies. Transcriptomic experiments were conducted comparing resistant (Fayoumi) and susceptible (Leghorn) lines. Caecum and caecal tonsils were analysed. A global increase in differential gene expression following infection was observed for caecum comparisons, whereas a global decrease following infection was observed for caecal tonsils.Gene lists for infected tissues display 40 genes in common across breeds, 20 of which were specific to infected tissues. Among these specific genes, 9 belong to the 100 more differentially expressed genes of the infected caecum comparison. Gene expression networks were constructed in parallel, identifying highly connected genes. Comparing information from differential gene lists and gene network analysis allows one to highlight potential pivotal genes in the infection process, one of which was located in a putative significant QTL region for infection associated lesions.

No MeSH data available.


Related in: MedlinePlus

Gene Expression networks of the caecum infection by E. tenella. (A) Significant edges at 20% FDR (B) Significant edges at 10% FDR. Plain lines: positive relationship; dashed lines: negative relationship
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Figure 1: Gene Expression networks of the caecum infection by E. tenella. (A) Significant edges at 20% FDR (B) Significant edges at 10% FDR. Plain lines: positive relationship; dashed lines: negative relationship

Mentions: Networks were obtained using the 100 most differentially expressed genes between the two infected lines for the caecum. Significant edges were found at a 10% and 20% local false discovery rate (FDR) threshold. The corresponding networks (displaying respectively 8 and 18 genes) are presented in figure 1.


Insights into gene expression profiling of natural resistance to coccidiosis in contrasting chicken lines.

Heams T, Bed'hom B, Rebours E, Jaffrezic F, Pinard-van der Laan MH - BMC Proc (2011)

Gene Expression networks of the caecum infection by E. tenella. (A) Significant edges at 20% FDR (B) Significant edges at 10% FDR. Plain lines: positive relationship; dashed lines: negative relationship
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3108221&req=5

Figure 1: Gene Expression networks of the caecum infection by E. tenella. (A) Significant edges at 20% FDR (B) Significant edges at 10% FDR. Plain lines: positive relationship; dashed lines: negative relationship
Mentions: Networks were obtained using the 100 most differentially expressed genes between the two infected lines for the caecum. Significant edges were found at a 10% and 20% local false discovery rate (FDR) threshold. The corresponding networks (displaying respectively 8 and 18 genes) are presented in figure 1.

Bottom Line: Unravelling the genetic bases of such variations could provide new clues for protection strategies.Gene expression networks were constructed in parallel, identifying highly connected genes.Comparing information from differential gene lists and gene network analysis allows one to highlight potential pivotal genes in the infection process, one of which was located in a putative significant QTL region for infection associated lesions.

View Article: PubMed Central - HTML - PubMed

Affiliation: INRA/AgroParisTech, UMR1313 Génétique Animale et Biologie Intégrative, F-78352 Jouy-en-Josas Cedex, France. thomas.heams@agroparistech.fr.

ABSTRACT
Coccidiosis is a parasitic disease with major economic impact, one of whose main causative agents is Eimeria tenella. Chicken breeds display variable natural resistance to this disease. Unravelling the genetic bases of such variations could provide new clues for protection strategies. Transcriptomic experiments were conducted comparing resistant (Fayoumi) and susceptible (Leghorn) lines. Caecum and caecal tonsils were analysed. A global increase in differential gene expression following infection was observed for caecum comparisons, whereas a global decrease following infection was observed for caecal tonsils.Gene lists for infected tissues display 40 genes in common across breeds, 20 of which were specific to infected tissues. Among these specific genes, 9 belong to the 100 more differentially expressed genes of the infected caecum comparison. Gene expression networks were constructed in parallel, identifying highly connected genes. Comparing information from differential gene lists and gene network analysis allows one to highlight potential pivotal genes in the infection process, one of which was located in a putative significant QTL region for infection associated lesions.

No MeSH data available.


Related in: MedlinePlus