Genome-wide association analysis of resistance to gastro-intestinal parasites in dairy sheep

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Genome-wide association analysis of resistance to gastro-intestinal parasites in dairy sheep S. Casu 1, M.G. Usai 1 S. Sechi 1, M. Casula 1, G.B. Congiu 1, S. Miari 1, G. Mulas 1, S. Salaris 1, T. Sechi 1, A. Scala 2, A. Carta 1 1 AGRIS-Sardegna, Settore Genetica e Biotecnologie, Italy 2 UNISS, Dipartimento di Medicina Veterinaria, Italy This presentation represents the views of the Authors, not the EC. The EC is not liable for any use that may be made of the information

Introduction Gastro-intestinal nematodes (GIN) Gastro-intestinal nematodes (GIN) are one of the main health issues in grazing ruminants Resistance against anthelmintics is constantly increasing in terms of prevalence, geographical repartition and severity Selection for resistant animals may provide a feasible longterm control strategy (Bishop and Morris, 2007)

Main difficulties Introduction Gastro-intestinal nematodes (GIN) Faecal individual sampling (laborious, costly, risk of sampling not infected flocks in not representative periods) FEC (Faecal Eggs Count), laborious to be determined by floatation in saturated salt solution in a McMaster slide and the eggs counted (Raynaud, 1970).

Seasonal species distribution of third stage infective larvae of GI nematodes after larval culture Jan-Feb Mar-Apr Cooperia curticei 21% Oesophagostomum venulosum Haemonchus contortus 2.4% 29.15% Trichostrongylus colubriformis 29.4% Cooperia curticei 4.55% Oesophagostomum venulosum 0.25% Haemonchus contortus 15% Trichostrongylus colubriformis 31.35% Teladorsagia circumcincta 16.05% Sep-Oct Teladorsagia circumcincta 50.8% Haemonchus contortus 66.75% Teladorsagia circumcincta 13.65% Oesophagostomum venulosum 1.4% Trichostrongylus colubriformis 16.5% Cooperia curticei 1.55%

Aim To Detect QTN affecting nematode resistance in a naturallly infected dairy sheep population by using the Ovine SNP50 BeadChip and LD-LA approach

Experimental population 10 Lacaune sires 10 Sarda dams x 1998 10 F1 sires x Sarda ewes = Lacaune chromosomes 18 sires (SA) x G1 ewes BC ewes (G0) x 15 sires (SA) 2000-2004 = Sarda chromosomes 11 Sarda sires x G2 ewes 2003-2009 = Sarda chromosomes G3 ewes x ~20 AI sires/year 2010 G3/G4 ewes

Faecal Egg Count (FEC) measurements Faecal Egg Count (FEC) under natural conditions of infection (grazing 6h/day) Around 50 animals were monitored in order to evaluate the percentage of infected animals and to decide whether or not to sample the whole flock Faeces were collected on the whole flock from 1 to 3 times per year more frequently in September and July Faeces were processed by floatation in saturated salt solution in a McMaster slide and the eggs counted (Raynaud, 1970) lnfec = ln(eggs Number + 14)

Gen # phenotyped offspring # & genotyped offspring G0 940 915 G1 788 765 G2 772 692 Total 2,500 2,372 Gen # FEC (d) # FEC (y) Mean FEC (epg) s.d. G0 6,772 3,366 207.7 398.0 G1 2,513 2,093 267.2 482.0 G2 2,823 2,107 393.1 817.1 Total 12,108 7,566 263.3 545.9 Estimated additive genetic VC =0.27

Phenotypes ln(eggs Number + 14) adjusted for population-specific environmental effects Repeatability model : a ~N(0,I*σ 2 a ); e ~N(0,I*σ 2 e ) Environmental effects : n. lambs born; group of management; age; physiological stage; sampling date; Phenotypes for QTL detection = a i +Σe ij /n

Genotypes Ovine SNP50 BeadChip 54,241 SNPs -- SNPs not located on the 26 autosome -- SNPs with call rate < 0.95 -- SNPs with MAF < 0.05 = 44,859 SNPs

Experimental population 10 Lacaune sires 10 Sarda dams x Not genotyped 10 F1 sires x Sarda ewes = Lacaune chromosomes (HML)=10 18 sires (SA) x BC ewes (G0) G1 ewes x 15 sires (SA) = Sarda chromosomes (HMs)=76 11 Sarda sires x G2 ewes = Sarda chromosomes (HF)=925 G3 ewes x ~20 AI sires/year G3/G4 ewes Not investigated here

Base Haplotypes Male founder Haplotypes MH Paternal gametes F1 (Lacaune)-MHL =10 Maternal gametes F1 (Sarda)-MHS = 10 Both gametes SA (Sarda)-MHS = 66 Female Haplotypes FH Maternal gametes BC (Sarda) H 925 Offspring Haplotypes OH Replicates of the base haplotypes carried by phenotyped individuals

Base haplotypes reconstruction Paternal phases reconstruction (F1 & SA) (MH) P(phase daughter genotypes) > 1-10 -10 Maternal gametes BC (FH) deduced from the paternal (F1) haplotype inherited by BC (P>0.95) Origin of F1 chromosomes (Sarda or Lacaune) Estimated by comparing both MHF1 with FH based on haplotypes of 6 SNPs Transmission probability estimation

Transmission probability of base haplotypes => OH Based on observed meioses FH 925 MH 86 OH gn-1 OH gn

Each FH had few replicates in OH (1.61 on average) V V We focused on MH effects estimation

To exploit the genomic information of FH they were connected to MHs through the IBDp by M&G algorithm HIGHEST IBDp between FH and MHs FH 925 MH 86 OH gn-1 OH gn

LD-LA analysis: IBD between MH at each SNP (Meuwissen & Goddard) 41 SNPs segment (20 left - 20 right) Expected homozygosity: Sarda p 2 S (from FH); Lacaune p 2 L (from 3SR dataset) IBDp between Sarda & Lacaune hap. set to 0

Evidence of multi-collinearity between the 76 MH S from IBD matrix MH L MH S IBD matrix PCA V CP > 0.90 of variance & eigenvalue>1 MH S MH L

LD-LA Multiple regression of the offspring performances on the PC from MH IBD matrix Model: 1µ y = + As + XVβ + e y = vector of phenotypes; µ = overall mean; s = vector of the fixed sire effects; βl ² = vector of the fixed effects of selected linear combinations of MH β= β S e = vector of random residuals; A = incidence matrix relating phenotypes with sires (relationship coeff.); X = incidence matrix allocating transmission probabilities MH -> OH ; V = eigenvectors relating MH with selected linear combinations V L V = 0 0 V S

Test and Significance threshold F Test (at each SNP position): Genomic H0 ² =0 Sarda H0 ² S =0 Lacaune H0 ² L =0 Significance H0 chromosome wise (CW) and genome wise (GW) maximum test distribution 10,000 permutations within sire family Random deviates from family effect

Genomic regions associated with FEC 4 5 7 12 14 16 20 -log10(pvalue) 3 2 1 0.05 0 0 250 500 750 1000 1250 1500 1750 2000 2250 2500 Pos (Mb)

Re-sequencing The most significant regions were further investigated by whole genome re-sequencing of trios of animals in which the QTNs are expected to be segregating Max (α H+ - α H- ) IBDp (H+,H-)=0.00 ++ +- -- IBDp>0.90 IBDp>0.90 rank Trait OAR Loc.(Mb) P-value Contrast (s.d.u) Segment length SNP ++; +-; -- FEC 20 25.40 0.0012 0.892 1,136,231 2,568 FEC 7 52.35 0.0023 0.583 402,400 831

Conclusions The performed analysis allowed to detect: 1 region 5% GW significant on OAR20 2 regions 1% CW significant on OAR7 4 regions 5% CW significant on OAR5; OAR12; OAR14; OAR16 Functional role of identified SNPs is under investigation Estimation of haplotype frequency of the regions of interest is ongoing on the whole registered population

Impossibile visualizzare l'immagine. THANKS FOR YOUR ATTENTION!

ncp TRIOS α = frq(sires) frq(offsprings) k v kl l= 1 Significant QTL LDLA (SA) 0.15 0.10 0.05 0.00 0.05 0.10 0.15 β sire haplotypes H- l -0.45-0.35-0.25-0.15-0.05 0.05 0.15 0.25 0.35 0.45 = p(h+)>0.9; p(h-)>0.9 = p(h+)=1.0; p(h-)=0.0 H+ α 2 1 H+ frq(sires) > 0.026 (2/76) Max (α H+ - α H- ) IBDp (H+,H-)=0.00 offspring = p(h+)=0.0; p(h-)=1.0 IBD(+-)=0.0; IBD(++) & IBD(--)>0.8 H- 0 1 2 - - +- -50-40 -30-20 -10 0 10 20 30 40 50 y Sequencing ++