QTL ANALYSIS OF EMAMECTIN BENZOATE SUSCEPTIBILITY IN THE SALMON LOUSE Lepeophtheirus salmonis

Similar documents
SEA LICE RESEARCH AT THE INSTITUTE OF AQUACULTURE

Link to publication:

Association Mapping in Plants PLSC 731 Plant Molecular Genetics Phil McClean April, 2010

Attachment XIV Guidance note on the licensing of discharges of AMX (deltamethrin) at marine cage fish farms

Marine Biotechnology and Aquaculture

The use of freshwater to control infestations of the sea louse Lepeophtheirus salmonis K on Atlantic salmon Salmo salar L.

Genetic dissection of complex traits, crop improvement through markerassisted selection, and genomic selection

BRINGING POWERFUL GENETIC TECHNOLOGIES WITHIN THE REACH OF EVERY COMPANY IN THE GLOBAL AQUACULTURE SUPPLY CHAIN.

Sustainable aquaculture A premise for further growth of Norwegian seafood production. Kjell Emil Naas Norway Japan Marine Seminar 10 th May 2012

Selective Breeding. Maren Wellenreuther, Senior Scientist MWC Teacher professional Development 2017

Pharmacogenetics: A SNPshot of the Future. Ani Khondkaryan Genomics, Bioinformatics, and Medicine Spring 2001

Application of Genotyping-By-Sequencing and Genome-Wide Association Analysis in Tetraploid Potato

GDMS Templates Documentation GDMS Templates Release 1.0

High-density SNP Genotyping Analysis of Broiler Breeding Lines

Control of sea lice on farmed Atlantic salmon S. salar L. with the oral treatment Emamectin benzoate (SLICE)

Developing an Integrated Pest Management approach for marine finfish aquaculture activities in B.C.

Genomic Approaches to Selective Breeding for Disease Resistance in Pacific Oysters (Crassostrea Gigas)

QTL mapping in domesticated and natural fish populations

RADSeq Data Analysis. Through STACKS on Galaxy. Yvan Le Bras Anthony Bretaudeau Cyril Monjeaud Gildas Le Corguillé

J.P. Gibson The Institute for Genetics and Bioinformatics University of New England Australia

Fish Feedlot Impacts from Toxic Chemicals, Pollution and Escaped Invasive Fish

Genes, Mendel and Meiosis

Human linkage analysis. fundamental concepts

Human linkage analysis. fundamental concepts

B) You can conclude that A 1 is identical by descent. Notice that A2 had to come from the father (and therefore, A1 is maternal in both cases).

Marker types. Potato Association of America Frederiction August 9, Allen Van Deynze

Exome Sequencing Exome sequencing is a technique that is used to examine all of the protein-coding regions of the genome.

Sea Lice Management in New Brunswick Prepared by Atlantic Canada Fish Farmers Association

The SLICE Sustainability Project

2015 New Brunswick Annual Sea Lice Management Report Prepared by the Atlantic Canada Fish Farmers Association (ACFFA)

Yniv Palti USDA-ARS National Center for Cool and Cold Water Aquaculture, Leetown, WV, USA

Sea Lice Research Centre Annual Report 2011

New Brunswick, Canada

Introduction to the course

Breeding and reproduction in livestock systems in 2030 and beyond: How will science bring us there?

Association studies (Linkage disequilibrium)

MAS refers to the use of DNA markers that are tightly-linked to target loci as a substitute for or to assist phenotypic screening.

STANDER, l.r., Betaseed, Inc. P.O. Box 859, Kimberly, ID The relationship between biotechnology and classical plant breeding.

A brief introduction to Marker-Assisted Breeding. a BASF Plant Science Company

Course Competencies Template Form 112

HCS806 Summer 2010 Methods in Plant Biology: Breeding with Molecular Markers

SolCAP. Executive Commitee : David Douches Walter De Jong Robin Buell David Francis Alexandra Stone Lukas Mueller AllenVan Deynze

Introducing The SLICE Sustainability Project (parasiticide)

Lecture 12. Genomics. Mapping. Definition Species sequencing ESTs. Why? Types of mapping Markers p & Types

Gene Mapping in Natural Plant Populations Guilt by Association

Adaptive genetic variation within and among populations. Kathleen O Malley Associate Professor, OSU 2017 Annual Meeting Genetics Workshop

RECOLAD. Introduction to the «atelier 1» Genetic approaches to improve adaptation to climate change in livestock

Module 1 Principles of plant breeding

Funded by the Overseas Development Administration (ODA)

Creation of sheep divergent lines for gastro-intestinal parasitism resistance based on genomic information C.R Moreno (INRA, Toulouse, France)

Adaptive Trait Evolution: Pesticide Resistance

Customer case study. Hy-Line Internatio nal

Association mapping of Sclerotinia stalk rot resistance in domesticated sunflower plant introductions

Course Syllabus for FISH/CMBL 7660 Fall 2008

Biology, Sustainability and Interdependence

GENETICS - CLUTCH CH.20 QUANTITATIVE GENETICS.

Study Guide for Sea lice and Salmon Aquaculture by T.P. Adams

Mapping and Mapping Populations

Genomic Selection in Breeding Programs BIOL 509 November 26, 2013

2016 New Brunswick Annual Sea Lice Management Report Prepared by the Atlantic Canada Fish Farmers Association (ACFFA)

Edinburgh Research Explorer

I.1 The Principle: Identification and Application of Molecular Markers

Utilization of Genomic Information to Accelerate Soybean Breeding and Product Development through Marker Assisted Selection

Physical Mapping and the Genome Assembly of Sheep

Gene Tagging with Random Amplified Polymorphic DNA (RAPD) Markers for Molecular Breeding in Plants

Statistical Methods for Quantitative Trait Loci (QTL) Mapping

Association Mapping. Mendelian versus Complex Phenotypes. How to Perform an Association Study. Why Association Studies (Can) Work

Application of MAS in French dairy cattle. Guillaume F., Fritz S., Boichard D., Druet T.

A major gene for leaf cadmium. (Zea mays L.)

Gene Environment Interaction Analysis. Methods in Bioinformatics and Computational Biology. edited by. Sumiko Anno

Applying next-generation sequencing to enable marker-assisted breeding for adaptive traits in a homegrown haricot bean (Phaseolus vulgaris L.

Lecture 2: Height in Plants, Animals, and Humans. Michael Gore lecture notes Tucson Winter Institute version 18 Jan 2013

Chapter 3: Evolutionary genetics of natural populations

ABSTRACT : 162 IQUIRA E & BELZILE F*

AlphaSim software for

Lecture 1 Introduction to Modern Plant Breeding. Bruce Walsh lecture notes Tucson Winter Institute 7-9 Jan 2013

Authors: Vivek Sharma and Ram Kunwar

Why do we need statistics to study genetics and evolution?

Computational Workflows for Genome-Wide Association Study: I

2017 New Brunswick Annual Sea Lice Management Report Prepared by the Atlantic Canada Fish Farmers Association (ACFFA)

SNPs - GWAS - eqtls. Sebastian Schmeier

Psych 3102 Introduction to Behavior genetics. Lecture 13 Identifying genes for behavioral traits

Applicazioni biotecnologiche

Trudy F C Mackay, Department of Genetics, North Carolina State University, Raleigh NC , USA.

SUBMISSION FROM INSTITUTE OF AQUACULUTRE, UNIVERSITY OF STIRLING

Understanding genetic association studies. Peter Kamerman

Genomic management of inbreeding in breeding schemes

This is DUE: Tuesday, March 1, 2011 Come prepared to share your findings with your group.

GBS Usage Cases: Non-model Organisms. Katie E. Hyma, PhD Bioinformatics Core Institute for Genomic Diversity Cornell University

Could modern methods of genetics improve the disease resistance in farm animals?

Experimental Design and Sample Size Requirement for QTL Mapping

7.03 Final Exam. TA: Alex Bagley Alice Chi Dave Harris Max Juchheim Doug Mills Rishi Puram Bethany Redding Nate Young

Evolution of Populations (Ch. 17)

SCSC, GENE, MEPS and BIOT 654: Analysis of Complex Genomes (Lec) Spring 2018

Customer Case Study: University of Bristol Wheat Genomics

Midterm#1 comments#2. Overview- chapter 6. Crossing-over

THE STUDY OF GENETICS is extremely

PART 2E RISK ASSESSMENT OF ACTIVITIES INVOLVING GENETICALLY MODIFIED ANIMALS

An introduction to genetics and molecular biology

GENOTYPING-BY-SEQUENCING USING CUSTOM ION AMPLISEQ TECHNOLOGY AS A TOOL FOR GENOMIC SELECTION IN ATLANTIC SALMON

Transcription:

QTL ANALYSIS OF EMAMECTIN BENZOATE SUSCEPTIBILITY IN THE SALMON LOUSE Lepeophtheirus salmonis Dr Greta Carmona-Antoñanzas 1 mm

Pest Control Globally, the control of invertebrate disease vectors, crop-infesting pests, common urban pests and parasites of livestock significantly relies on the use of pesticides. Alternative strategies to control Lepeophtheirus salmonis include: * Biological control (i.e. cleaner fish) * Selective breeding * Sea cage design (i.e. snorkel) * Vaccination etc. Under development The main groups of chemical salmon delousing agents include organophosphates, pyrethroids, avermectins, benzoylureas and disinfectants L. salmonis pesticides in Scotland hydrogen peroxide organophosphates avermectins pyrethroids Azamethiphos 1990 1994 2000 2008 2016 Azamethiphos Emamectin Increased tolerance to 1979 Benzoate (EMB) EMB Dichlorvos 1997 Cypermethrin Deltamethrin

Resistance to Pesticides Continued use of the same delousing agent can lead to the development of drug resistance Genetic adaptation (heritable) that allow a PEST to survive lethal doses of a PESTICIDE or CHEMOTHERAPEUTANT (DRUG) Emergence of resistance is understood as the HERITABLE decrease in a population s susceptibility to a chemical Continued drug selection Today the major emphasis in resistance research lies on unravelling the underlying molecular mechanisms, in an attempt to use this knowledge to control the development and spread of resistant populations, provide insights into new drug development. Knowledge on the mechanisms involved has not kept pace with resistance in invertebrate pests

Molecular Mechanisms of Resistance to EMB AVERMECTINS Gamma amino butyrate gated chloride channels (GABA Cl) Glutamate gated chloride channels (Glu Cl) Telford et al. 2008 insects and nematodes Chloride receptor Major mechanisms of resistance GABA / Glutamate Chloride ion In Lepeophtheirus salmonis GABA and Glu chloride channels have been cloned (Tribble et al., 2007) P-glycoprotein (ABCB transporters) has been cloned (Heumann et al., 2012) P-glycoprotein gene expression has been investigated (Heumann et al., 2012)

Aim of the Project Limitations of studying candidate genes, 1. Different target genes in crustaceans 2. Detoxifying enzymes contain numerous members Our approach? QTL analysis to identify GENETIC MARKERS associated with resistance would support: Development of diagnostic tests for susceptibility assessment More specific & informative than traditional bioassays Hints for efficient pest management and control strategies Rotation between drugs Mixtures of drugs Reduce environmental impact

L. salmonis strains & husbandry Reciprocal crosses of laboratory maintained salmon lice families P0 PARASITE MOTILITY ATTACHMENT BEHAVIOUR Susceptible M Resistant F Resistant M Susceptible F March 2015 March 2015 * About 50% loss per generation due to mortality Gravid female F1 Copepodid: Infective stage Flamarique et al., 2016 F1 copepodid challenge

Toxic Response (%) Experimental Design F1 sibling crosses M F 1 May 2015 70 F2 lice (phenotype) 60 2 Time-to-Response Bioassay 50 IoA-00 Susceptible M 40 IoA-02 Resistant M 30 Fam C2 M 20 Fam C6 M 10 Fam C7 M 0 2 4 6 8 10 12 15 18 21 24 26 28 30 Emamectin benzoate exposure time (h)

Genotyping ddrad alleles 846,655,574 raw reads FastQC Reads of low quality score (< 20), ambiguous barcode or RAD tags were excluded 687,240,845 filtered reads RAD-markers common RAD-markers bi-allelic loci 140,077 4,796 4,574 Total RAD-markers identified in 190 individuals Loci retrieved in 140 individuals Loci with 2 alleles only

Linkage Map 2 3 4 5 6 7 8 9 10 11 Lep-Map2 software Linkage map parameters were LOD = 4.5 and minimum SizeLimit = 3 The map generated contained Informative SNP markers = 3,630 Linkage groups = 11 Map length = 1810.72 centimorgans Unique loci = 1,525 Full Family C7 P0s and F2 lice LG Number of Markers Unique loci Length (cm) 1 914 391 860.8 2 542 278 259.5 3 404 136 100.4 4 362 110 87.8 5 357 120 83 6 302 164 124.9 7 284 139 102.6 8 269 103 111.8 9 172 73 61.7 10 21 8 2.9 11 3 3 15.6 Total 3,630 1,525 1,810.70 Substantial gaps in the LG01 (not shown): - Total length: 860.8 cm - gaps over 50 cm

P-value P-value Association Analysis Surviving trait LG03 273 markers 1.E-16 1.E-15 1.E-14 1.E-13 1.E-12 1.E-11 1.E-10 1.E-09 1.E-08 1.E-07 1.E-06 1.E-05 1.E-04 1.E-03 1.E-02 1.E-01 1.E+00 0 363 726 1089 1452 1815 2178 2541 2904 3267 3630 Genetic markers LG07 2 markers Bonferroni s correction Linkage group 1 Linkage group 2 Linkage group 3 Linkage group 4 Linkage group 5 Linkage group 6 Linkage group 7 Linkage group 8 Linkage group 9 Linkage group 10 Linkage group 11

SYBR KASP Genotyping Assays Marker ID Trait Sequences submited to LGC Genomics Total length 53015 Surviving TAAATTCTATTTAAATTAAGCAATATTGAAAAATATATATCTTTCAAATA[A/C]AAGGAATTTTAAAAACTTTATTCGTAATGGTAATATTTCAAAGTATCATT 105 53049 Surviving TCCCCTTTTTGATTTAAAGTCCAGTGAAACACGACAGAATTGATTTAAAA[C/A]CTACTGACCTCATTCATTTTGTTTCAGGTCTTATCCAATAGCTTCGCCTA 105 16757 Surviving GTTTACCTTAAAAATATGTAGAAGTGAAAACGGATTTTATAAGTTTCTAA[C/T]TTTGAGGAACTCACCCTGTAGTGAAAATAAAGAGTACGTCCTTCGATATG 105 18347 Surviving TATACGTGGTTTCAAGTTAATTCATCCCCCTACTCCCTTATTTTTTTATA[C/A]CTGCCACAATTATTGACACGAGATATAACTAATAACTATTATAAAAATAT 105 44488 Surviving GCCTTTTTTTAACATAGCGAAATTCTTTAATATTTACAACTCTAGGTGTT[A/C]GAGATGGTCCTTCTGAGAGGGAAAGAAAGACTCTTTATAGATATTTCAGC 105 62151 Surviving GTATGAATGAGTATTAATATGTTCTATTTGTATGGATTATTATAAAATAT[A/G]TATTAGAAGTAAACAGTCCCTGTTGATTCAGAAAAAAAGACTGGCTATAA 105 Surviving LG03 Marker 53049 62151 53015 44488 0.45 0.4 0.5 0.35 0.45 0.35 0.4 0.35 0.25 0.3 0.3 0.25 0.25 0.2 0.15 0.2 0.15 0.1 0.1 0.05 0 0.1 0 0.1 0.3 0.2 0.2 0.5 0.4 0.3 0.7 0.60.4 0.9 0.5 0.8 HEX HEX A/A A/A A/B A/A A/B NTC A/B NTC NTC

Conclusions High-density genetic map available for the salmon louse Time-to-response -associated markers are located in two LGs Different genes are likely to be involved in resistance One marker associated to sex-determination was found This study provide the basis for QTL analysis in salmon louse Next Sequencing more F2 families in the analysis: Improve the quality of the genetic map Identify new markers * * LG 03 LG 07 11 linkage groups 3,630 informative SNP markers Development of molecular assays includes testing these markers: In parental strains Unrelated strains Field populations Basis for unravelling resistance mechanisms: Selection of genomic regions for gene prediction

Acknowledgements Thank you! Institute of Aquaculture, University of Stirling Project PI: Dr Armin Sturm ddrad library construction: Dr John Taggart Bioinformatics: Dr Michaël Bekaert, MSc David Guidi Sea louse biology: Prof James Bron Sea lice husbandry (MERL): Dr William Roy, Sally Boyd University of Edinburgh Project PI: Dr Karim Gharbi, Edinburgh Genomics Dr Ross Houston, Roslin Institute