Dataset Information

Transcriptional profiling of the ovine abomasal lymph node reveals a role for timing of the immune response in gastrointestinal nematode resistance

ABSTRACT: Background: Gastrointestinal nematodes are a serious cause of morbidity and mortality in grazing ruminants. The major ovine defence mechanism is acquired immunity, which develops over time in response to infection. Nematode resistance varies both within and between breeds and is moderately heritable (h ~ 0.3). A detailed understanding of the genes and mechanisms involved in protective immunity, and the factors that regulate this response, is required to aid future breeding strategies as well as the development of effective and sustainable nematode control methods. The aim of this study was to compare the abomasal lymph node transcriptome of resistant and susceptible lambs in order to determine biological processes differentially expressed between resistant and susceptible lambs. Results: Scottish Blackface lambs, with divergent phenotypes for resistance, were challenged with 30,000 Teladorsagia circumcincta larvae (L3), and abomasal lymph node recovered at 7 and 14 days post-infection (dpi). High-throughput sequencing of abomasal lymph node cDNA was used to quantitatively sample the transcriptome with an average of 32 million reads per sample. A total of 194 and 144 genes were differentially expressed between resistant and susceptible lambs at 7 and 14 dpi respectively. Differentially expressed networks and biological processes were identified using Ingenuity Pathway Analysis. Resistant animals appear to generate a more rapid immune response as at 7 dpi processes relating to homing of lymphocytes, leukocyte migration and migration of antigen presenting cells were up-regulated. In susceptible animals this response appears to be delayed until approximately 14 dpi. Twenty-four Single Nucleotide Polymorphims (SNP), within 11 differentially expressed genes were tested for association with gastrointestinal nematode resistance in the Scottish Blackface lambs. Four SNPs in two genes (SLC30A2, and ALB) were suggestively associated with faecal egg count. Conclusions: A large number of genes were differentially expressed in the abomasal lymph node of resistant and susceptible lambs responding to gastrointestinal nematode challenge. Resistant Scottish Blackface lambs appear to generate a more rapid immune response to T. circumcincta. In susceptible lambs this response appears to be delayed until approximately 14 days post infection. SNP in two differentially expressed genes were suggestively associated with faecal egg count indicating that differentially expressed genes can be considered as candidate loci for mediating nematode resistance.

ORGANISM(S): Ovis aries

PROVIDER: GSE63547 | GEO | 2015/09/30

SECONDARY ACCESSION(S): PRJNA268183

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Purpose: This study is to more comprehensively understand the genome-wide host response to avian pathogen E. coli (APEC). Methods: Male broiler chicks were challenged with APEC (or mock-challenged as controls), and bone marrow was harvested at 1 and 5 days post-infection (dpi). Based upon necropsy-scored lesions on liver, pericardium, and air sacs, the challenged birds were assigned to mild or severe pathology categories, representing resistant and susceptible phenotypes, respectively. RNA sequence data were first analyzed using the R package EdgeR to identify differentially expressed genes.GO and pathway analysis using the R package GOseq identified many immune-related pathways. Results: RNA sequencing resulted in 11 to 40 million single-end raw reads of 100 bp per sample. After alignment, an average of 80 % of the reads, with 5 % representing multiple mapping, were mapped to the chicken reference transcriptome. Among these detected unique transcripts, there were 2,404 novel genes mainly distributed on chromosomes 1, 2, 4, 3, Z, 5 in decreasing number. Genes were detected as differentially expressed (DE) between treatments (susceptible, resistant, and mock-challenged) at a given time point, or DE between 1 and 5 dpi within the same treatment group. Compared to mock-challenged birds on 5 dpi, susceptible birds exhibited extensive enhancement of their T cell and B cell development, as well as innate and adaptive immune response. However, for the 1 dpi group, susceptible birds exhibited a decreased gene expression of T and B cell development. The differences between the two phenotypes, susceptible and resistant birds, at 5 dpi showed that susceptible birds had increased gene expression of B-cell development and adaptive immune response. Conclusions: This is the first report to our knowledge examining the role of bone marrow cells in responding to APEC infection in broilers. This transcriptome study provides insight and global overview into the response of genes involved in the earliest phases of the immune response to APEC infection. Our data indicate a dynamic interaction between the innate and adaptive immune responses to APEC infection in susceptible birds, providing flexibility and redundancy in the host’s induction of cytokines and chemokines. Additionally, B cell and T cell development are also extensively affected by APEC infection for susceptible birds, resulting in drastic host impairment in early response to infection. The findings of present study shed light on the underlying chicken immune modulation against APEC infection. Also, this study will build a solid foundation for identifying host genetic variation that may be manipulated to enhance resistance to infection and may be useful as colibacillosis control targets.

Project description:Infectious pancreatic necrosis (IPN) is widespread disease with global distribution and highly contagious, which leads to severe economic problems both freshwater and saltwater, particularly in the Atlantic salmon (Salmo salar). In this work we analyzed and evaluated gene expression profiles in resistant and susceptible families associated to S. salar exposed to IPNV in order to understand the defense mechanisms mounted by resistant fish in combating infection. Experimentally, 29 families with known pedigree and variability were infected by immersion with 1x106 PFU/ml of IPNV, and a gamma frailty model analysis based on Kaplan-Meier mortality curves were obtained to identify and classify families as susceptible or resistant. Samples of head kidney tissue were obtained at day 1 and 5 post-infection from susceptible and resistant families and pooled to analyse their expression pattern with realt-ime PCR and one-color salmon-specific oligonucleotide microarray (21K). The microarray results showed clear differences in both families, where resistant fish presented an over-expression of genes associated with endocrine function, and a down-regulation of genes associated principally with tissue differentiation, metabolism protein degradation, cell signaling and immunological process. Moreover qPCR analysis using as target a number of transcripts associated with immunological processes showed the same trend observing a higher expression in susceptible than resistant families, indicating significant differences for CCL-19, CCRM-NM-3c, IL-12, IFN-M-NM-1, and IFN-M-NM-3. The one-color oligonucleotide microarrays included in this study was performed using pooled samples from each families at two different post-infection time condition. In the case of susceptible families were chosen at 1 day post-infection (dpi) the families 5352 (n = 2) and 5469 (n = 2) and at 5 dpi the families 5629 (n = 2) and 5637 (n = 2), whereas in resistant families were selected at 1 dpi the families 5459 (n =3) and 5761 (n =3), and at 5 dpi the families 5463 (n =3) and 5764 (n =3).

Project description:Background: Cylindrocladium parasiticum Crous, Wingfield & Alfenas, the causal agent of Cylindrocladium black rot (CBR) of peanut (Arachis hypogaea L.), has leaded to economic losses in China. Learning about how peanut responds to C. parasiticum infection will be conducive to designing strategies for CBR control. However, the response of peanut plant to C. parasiticum is poorly understood. Results: In this study, two contrasting peanut cultivars, T09 (C. parasiticum-resistant) and P562 (C. parasiticum-susceptible) were used for comparative analysis of protein profiles in the root segment of peanut plants in responses to C. parasiticum infection. Proteomic profiling identified 1647 and 391 differentially expressed proteins (DEPs) in A. hypogaea L. P562 and A. hypogaea L. T09, respectively, compared to controls. A total of 350 and 1095 DEPs were identified between A. hypogaea L. P562 and A. hypogaea L. T09 before and after 9 dpi, respectively. Functional categorization by GO annotation showed that C. parasiticum-responsive proteins were mainly involved in catalytic activity and binding. The results of KEGG pathway analysis indicated both resistant and susceptible peanut cultivars can regulate gene expression in the phenylpropanoid pathway, terpenoid backbone biosynthesis, SA, and JA pathways to induce defensive genes and protein expression which enhances plant defence capacity. However, the MAPK signal pathway was more pronounced in resistant peanut cultivar T09. We also observed an increase of CYP73A100 involved in phenylpropanoid biosynthesis and flavonoid biosynthesis pathways in the susceptible peanut ecotype P562, while decrease in the resistant peanut ecotype T09, after 9 dpi. Additionally, there was a marked activation of brassinosteroid biosynthesis in the resistant T09, which indicated a possible involvement of activation of plant immune response in the resistant responses of peanut to C. parasiticum. Conclusions: This study provides some insights into the molecular networks involved on cellular and physiological responses to C. parasiticum infestation.

Dataset Information

Transcriptional profiling of the ovine abomasal lymph node reveals a role for timing of the immune response in gastrointestinal nematode resistance

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets