Chromosomal regions underlying noncoagulation of milk in Finnish Ayrshire cows

Similar documents
Genomic mapping of non-coagulation of milk in the Finnish Ayrshire

Genetic Parameters for the Milk Coagulation Properties and Prevalence of Noncoagulating Milk in Finnish Dairy Cows

Abstract. M. De Marchi, M. Penasa, F. Tiezzi, V. Toffanin & M. Cassandro

Genetic parameters for a multiple-trait linear model conception rate evaluation

Genetic parameters for a multiple-trait linear model conception rate evaluation

The Efficiency of Mapping of Quantitative Trait Loci using Cofactor Analysis

Fine-mapping QTL for mastitis resistance on BTA9 in three Nordic red cattle breeds

Animal Science USAMV Iaşi; University of Agricultural Sciences and Veterinary Medicine Ion Ionescu de la Brad Iaşi ; Institute of Life Sciences at

Complex Trait Genetics in Animal Models. Will Valdar Oxford University

QTL detection for traits of interest for the dairy goat industry

Mendelian Genetics. Gregor Mendel. Father of modern genetics

Estimates of Genetic Parameters for the Canadian Test Day Model with Legendre Polynomials for Holsteins Based on More Recent Data

Genome screen for twinning rate QTL in four North American Holstein families

Dan Koller, Ph.D. Medical and Molecular Genetics

Effect of TMR chemical composition on milk yield lactation curves using a random regression animal model

DAIRY cattle and other livestock species have under- typic, pedigree, and genetic marker information. The

Combining Different Marker Densities in Genomic Evaluation

Factors affecting the serum protein pattern in multi-breed dairy herds

GENOME-WIDE ASSOCIATION STUDIES

SEVERAL studies have reported genotype-by-environment

Prediction of milk coagulation properties by Fourier Transform Mid Infrared Spectroscopy (FTMIR) for genetic purposes, herd management

Double The Muscle: Genotype and Probability

Giovanni Bittante: ISI publications

Genetic Evaluation for Ketosis in the Netherlands Based on FTIR Measurements

Usage of Predictors for Fertility in the Genetic Evaluation, Application in the Netherlands

Variation in linkage disequilibrium patterns between populations of different production types VERONIKA KUKUČKOVÁ, NINA MORAVČÍKOVÁ, RADOVAN KASARDA

Use of a Weighted Random Regression Test-Day Model to Better Relate Observed Somatic Cell Score to Mastitis Infection Likelihood

Genome-Wide Associations for Progesterone Profiles in Holstein-Friesian Dairy Cows

Lab Activity Report: Mendelian Genetics - Genetic Disorders

Pedigrees: Genetic Family History

Edinburgh Research Explorer

Validation of genomic and genetic evaluations in 305d production traits of Nordic Holstein cattle

Genetic Evaluation for Resistance to Metabolic Diseases in Canadian Dairy Breeds

5/6/2015. Milk Production per Cow in the US. Current World Records

Overview of Animal Breeding

Genetic Recessives and Carrier Codes

UNIT 3 GENETICS LESSON #30: TRAITS, GENES, & ALLELES. Many things come in many forms. Give me an example of something that comes in many forms.

CS2220 Introduction to Computational Biology

Name: PS#: Biol 3301 Midterm 1 Spring 2012

QTL by environment interaction for milk yield traits on Bos

A family-based imputation algorithm

Mating Systems. 1 Mating According to Index Values. 1.1 Positive Assortative Matings

Inferring relationships between health and fertility in Norwegian Red cows using recursive models

Impacts of genomic. pre-selection on classical genetic evaluations. Vincent Ducrocq, Clotilde Patry. Vincent Ducrocq & Clotilde Patry

Genetic analysis of detailed milk protein composition and coagulation properties in Simmental cattle

Analysis of Persistency of Lactation Calculated from a Random Regression Test Day Model

Codominance. P: H R H R (Red) x H W H W (White) H W H R H W H R H W. F1: All Roan (H R H W x H R H W ) Name: Date: Class:

Edinburgh Research Explorer

Calculate the percentage of cytosine for the beetle. (2)

Genetic analysis of milk ß-hydroxybutyrate in early first lactation Canadian Holsteins

Abstract. Keywords: Genetic evaluation, Health, Metabolic biomarkers, Animal model, Nordic Dairy Cattle, breeding values.

Exam #2 BSC Fall. NAME_Key correct answers in BOLD FORM A

1 Swedish Dairy Association, Uppsala, SWE,; 2 FABA Breeding,

Genetic Parameters of Test-Day Somatic Cell Score Estimated with a Random Regression Model

Unit 5 Review Name: Period:

Genetics Review. Alleles. The Punnett Square. Genotype and Phenotype. Codominance. Incomplete Dominance

1950s 1 st calf from surgical ET Frozen semen LN 2

Heritability Estimates for Conformation Traits in the Holstein Breed Gladys Huapaya and Gerrit Kistemaker Canadian Dairy Network

Gene Mapping of Reproduction Traits in Dairy Cattle

PSYC& 200: Study Guide Worksheet 3 Genes, Heredity and Environment

Genetics Practice Problems

A. Incorrect! Cells contain the units of genetic they are not the unit of heredity.

Adjustment for Heterogeneous Herd-Test-Day Variances

MBG* Animal Breeding Methods Fall Final Exam

UNIT 6 GENETICS 12/30/16

Individual Feedback Report for: St#: Test: GENETICS UNIT TEST 2score Grade: 3 Score: % (20.00 of 35.00)

Evaluation of Pfizer Animal Genetics HD 50K MVP Calibration

Take a look at the three adult bears shown in these photographs:

Selection against null-alleles in CNS1S1 will efficiently reduce the level of free fatty acids in Norwegian goat milk

(12) United States Patent (10) Patent No.: US 7,851,147 B2

Mendel: Understanding Inheritance. 7 th Grade Science Unit 4 NCFE Review

The Dairy Cattle Reproduction Council does not support one product over another. Any mention herein is only meant as an example, not an endorsement.

AL Van Eenennaam University of California, Davis. MM Rolf Kansas State University. BP Kinghorn University of New England, NSW, Australia

Genetics All somatic cells contain 23 pairs of chromosomes 22 pairs of autosomes 1 pair of sex chromosomes Genes contained in each pair of chromosomes

Can Genomics of Dry Matter Intake in Transition Cows Improve Health and Fertility?

PEDIGREES AND THE INHERITANCE OF LACTOSE INTOLERANCE

J. Dairy Sci. 95 : doi: /jds American Dairy Science Association, 2012.

Pedigree Construction Notes

Genetics and Diversity Punnett Squares

Cong Li 1, Dongxiao Sun 1*, Shengli Zhang 1*, Shaohua Yang 1, M. A. Alim 1, Qin Zhang 1, Yanhua Li 2 and Lin Liu 2

Increasing Profits per Acre with Appropriate Genetics

Drosophila melanogaster. Introduction. Drosophila melanogaster is a kind of flies fruit fly that is widely used in genetic

Pedigree Analysis Why do Pedigrees? Goals of Pedigree Analysis Basic Symbols More Symbols Y-Linked Inheritance

Extra Review Practice Biology Test Genetics

Introduction to Genetics and Heredity

Genetics and Heredity Notes

Genes and Inheritance (11-12)

Chapter 1 Heredity. Prepared by: GOAD s Team

Statistical Indicators E-34 Breeding Value Estimation Ketose

Two copies of each autosomal gene affect phenotype.

Ch 8 Practice Questions

UNIT 2: GENETICS Chapter 7: Extending Medelian Genetics

Unit 7 Section 2 and 3

Genetics of extreme body size evolution in mice from Gough Island

MULTIFACTORIAL DISEASES. MG L-10 July 7 th 2014

Name. More Complicated Inheritance Patterns. INCOMPLETE DOMINANCE: Remember, here the different alleles cause a blended new phenotype.

Genetics and genomics of reproductive performance in dairy and beef cattle

Mendelian Genetics and Beyond Chapter 4 Study Prompts

REPRODUCTION AND GENETICS

Lecture 9: Hybrid Vigor (Heterosis) Michael Gore lecture notes Tucson Winter Institute version 18 Jan 2013

Transcription:

EAAP session 35, abstract 3331, 27 August 2008 Chromosomal regions underlying noncoagulation of milk in Finnish Ayrshire cows Anna-Maria Tyrisevä, Kari Elo, Arja Kuusipuro, Veijo Vilva, Isto Jänönen, Heidi Karjalainen, Tiina Ikonen and Matti Ojala Department of Animal Science University of Helsinki Email: kari.elo@helsinki.fi

1. Background Motivation to study milk coagulation properties? Milk coagulation is a critical step in cheese-making 40% of milk is used for cheese production in Finland Milk coagulation properties are impaired in Finnish Ayrshire (Tyrisevä 2008) 2

Measurement of milk coagulation properties Coagulation time R (min) Curd-firming time K 20 (min) Curd firmness E 30 (mm) Genetic correlations between the above traits are almost one 3

Definitions for noncoagulating and coagulating If E 30 = 0 mm, milk is noncoagulating (NC) If E 30 < 20 mm poorly coagulating If E 30 > 30 mm excellently coagulating (E) 4

Percentages of poorly coagulating and noncoagulating milk About 12% of Finnish Holstein-Friesian and about 30% Finnish Ayrshire cows produce poorly coagulating milk (Tyrisevä et al. (2004)) About 1% of Finnish Holstein-Friesian and about 10% Finnish Ayrshire cows produce noncoagulating milk (Ikonen et al. (1999), Tyrisevä et al. (2003), Tyrisevä et al. (2004)) 5

Bulk milk - a mixture of excellently coagulating, poorly coagulating and noncoagulating milk If excellently coagulating, poorly coagulating and noncoagulating milk are mixed, the mixture has impaired coagulation properties both quality and yield of cheese are impaired 6

Heritability and repeatability of R and E 30 Heritability estimates (with SE) Milk coagulation time R (min) 0.28 (0.03) Curd firmness E 30 (mm) 0.39 (0.04) Coefficients of repeatability Milk coagulation time R (min) 0.66 Curd firmness E 30 (mm) 0.68 7

2. Objective To locate chromosomal regions affecting noncoagulation of milk in Finnish Ayrshire 8

3. Materials and methods Studied traits: curd firmness (E 30 ) somatic cell score ph of milk Two stages: (1) genome scan (2) verification of the genome scan 9

Genome scan Genome scan with 194 microsatellite markers using selective DNA pooling method (Darvasi and Soller 1994) Pooled DNA samples 33 NC-milk producing cows 49 E-milk producing cows Allele intensities were tested for homogeneity between the two pools using the method of Sham and Curtis (1995) 10

Verification of the genome scan 16 regions on 11 chromosomes were selected 47 microsatellite markers 18 sires and 477 daughters individually genotyped 188 NC-milk producing cows 289 E-milk producing cows Maximum likelihood method (ANIMAP, Georges et al.1995) Nonparametric method (HSQM, Coppieters et al. 1998) 11

Collection of data sets Sire families were a sub-sample from Ikonen et al. (2004) Only sires assumed to be heterozygous for the hypothesized NC-genes and sires with large daughter groups were selected for genome scan 12

Classification of sires Based on daughters' distribution of milk coagulation ability, sires can be classified to homozygous (A), heterozygous (B) and non-carriers for the NCgenes (C) 13

4. Results In genome scan, 16 markers in 11 chromosomes reached the 1% statistical significance threshold In verification study, the most significant findings on chromosomes 2, 18 and 24 for noncoagulation Putative findings for ph and milk coagulation ability on chromosomes 24 and 27 14

Interval mapping using nonparametric method (1) Mapping results across families Chr Marker -log(p) Experimentwise risk level 2 BMS1126 4.3 0.001 18 BMS1355 4.3 0.001 15

Interval mapping using nonparametric method (2) Mapping results on chromosomes 24 and 27 Chr Trait Family Max -log(p) Experimentwise position risk level 24 NC 38651 BM7151 4.3 <0.001 24 ph 38585 AGLA269 2.4 <0.05 27 NC 38585 DIK5134 2.9 <0.05 27 ph 38651 DIK5134 3.7 <0.01 16

Interval mapping using maximum likelihood Estimates for effects Family Chr Marker LOD Experimentwise Effect position risk level (phenotypic SD) 38651 18 BMS1355 2.7 0.05 1.9 38651 24 BM7151 4.2 0.01 1.8 17

5. Conclusions (1) Regions on chromosomes 2 and 18 affect noncoagulation of milk Putative findings chromosomes 18 and 24 associated with noncoagulation of milk in single families markers on chromosomes 24 and 27 associated with coagulation ability and ph of milk 18

5. Conclusions (2) Further mapping needed on chromosomes 2 and 18 before marker assisted selection is viable option to improve milk coagulation ability by elimination of carrier bulls of NC-genes Dissection of candidate chromosomal regions is ongoing using SNP markers 19

6. References Coppieters et al. (1998) Genetics 149: 1547 Darvasi and Soller (1994) Genetics 138: 1365 Georges et al. (1995) Genetics 139: 907 Ikonen et al. (1999) Journal of Dairy Science 82: 205 Ikonen et al. (2004) Journal of Dairy Science 87: 458 Sham and Curtis (1995) Annals of Human Genetics 59: 97 Tyrisevä et al. (2003) Journal of Dairy Research 70: 91 Tyrisevä et al. (2004) Journal of Dairy Science 87: 3958 Tyrisevä (2008) Options for selecting dairy cattle for milk coagulation ability. PhD thesis, http://urn.fi/urn:isbn:978-952-10-3692-7 20