John B. Cole Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD 20705-2350, USA New applications.

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John B. Cole Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD , USA New applications of genomic technology in the US dairy industry

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (2) Cole Overview Past successes Non-additive effects Novel recessives Whole-genome sequencing New phenotypes

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (3) Cole Why genomic selection works in dairy Extensive historical data available Well-developed genetic evaluation program Widespread use of AI sires Progeny test programs High-valued animals, worth the cost of genotyping Long generation interval which can be reduced substantially by genomics

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (4) Cole Genotyped Animals (April 2013) Chip Traditional evaluation? Animal sexHolsteinJersey Brown Swiss Ayrshire  50K YesBulls 21,904 2,855 5, Cows 16,0621, NoBulls45,5373,8841, Cows 32, <50KYesBulls Cows 21,9809, NoBulls14,0261, Cows 158,62218, ImputedYesCows2, NoCows 1, All314,93837,9428,0801, ,173

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (5) Cole Marketed HO bulls

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (6) Cole Dominance in mating programs Quantitative model Must solve equation for each mate pair Genomic model Compute dominance for each locus Haplotype the population Calculate dominance for mate pairs Most genotyped cows do not yet have phenotypes

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (7) Cole Inbreeding effects Inbreeding alters transcription levels and gene expression profiles (Kristensen et al., 2005). Moderate levels of inbreeding among active bulls (7.9 to 18.2) Are inbreeding effects distributed uniformly across the genome? Can we find genomic regions where heterozygosity is necessary or not using the current population?

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (8) Cole Precision inbreeding l Runs of homozygosity may indicate genomic regions where inbreeding is acceptable l Can we target those regions by selecting among haplotypes? Dominance Recessives Under-dominance

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (9) Cole Loss-of-function mutations l At least 100 LoF per human genome surveyed (MacArthur et al., 2010) w Of those genes ~20 are completely inactivated w Uncharacterized LoF variants likely to have phenotypic effects l How can mating programs deal with this?

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (10) Cole Haplotypes affecting fertility & stillbirth NameChromosomeLocationCarrier FreqEarliest Known Ancestor HH Pawnee Farm Arlinda Chief HH Willowholme Mark Anthony HH Glendell Arlinda Chief, Gray View Skyliner HH Besne Buck HH Thornlea Texal Supreme JH Observer Chocolate Soldier BH West Lawn Stretch Improver BH Rancho Rustic My Design AH Selwood Betty’s Commander

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (11) Cole Precision mating Eliminate undesirable haplotypes Detection at low allele frequencies Avoid carrier-to-carrier matings Easy with few recessives, difficult with many recessives Include in selection indices Requires many inputs Use a selection strategy for favorable minor alleles (Sun & VanRaden, 2013)

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (12) Cole Sequencing successes at AIPL/BFGL l Simple loss-of-function mutations w APAF1 – Spontaneous abortions in Holstein cattle (Adams et al., 2012) w CWC15 – Early embryonic death in Jersey cattle (Sonstegard et al., 2013) w Weaver syndrome – Neurological degeneration and death in Brown Swiss cattle (McClure et al., 2013)

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (13) Cole Modified pedigree & haplotype design Bull A (1968) AA, SCE: 8 Bull B (1962) AA, SCE: 7 MGS Bull H (1989) Aa, SCE: 14 Bull I (1994) Aa, SCE: 18 Bull E (1982) Aa, SCE: 8 Bull F (1987) Aa, SCE: 15 Bull C (1975) AA, SCE: 8 δ = 10 Bull E (1974) Aa, SCE: 10 MGS Bull J (2002) Aa, SCE: 6 Bull K (2002) Aa, SCE: 15 Bull J (2002) aa, SCE: 15 These bulls carry the haplotype with the largest, negative effect on SCE: Bull D (1968) ??, SCE: 7 Couldn’t obtain DNA:

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (14) Cole The Aftermath l Total time (sample to sequence): w 3 weeks w That’s assuming nothing went wrong! w More realistic: months l Resulting data w Large text files w ~300 gigabytes compressed l Analysis w Often underestimated w Can take months as well

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (15) Cole Variant detection ● Alignment against reference genome ● Analysis is very disk I/O-intensive Variant Detection Raw Sequencer Output Alignment to the Genome

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (16) Cole Things can move quickly! ● Dead calves will be genotyped for BH2 status ● If homozygous, we will sequence in a family-based design ● Austrian group also working on BH2 (Schwarzenbacher et al., 2012) ● Strong industry support! Semen in CDDR Tissue samples (ears) being processed for DNA Owner will collect blood samples when born Owner will collect Blood samples AI firm sending 10 units of semen Brown Swiss family with possible BH2 homozygotes (dead)

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (17) Cole Challenges with new phenotypes Lack of information Inconsistent trait definitions Often no database of phenotypes Many have low heritabilities Lots of records are needed for accurate evaluation Genetic improvement can be slow Genomics may help with this

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (18) Cole Reliability with and without genomics EventEBV ReliabilityGEBV ReliabilityGain Displaced abomasum Ketosis Lameness Mastitis Metritis Retained placenta Average reliabilities of sire PTA computed with pedigree information and genomic information, and the gain in reliability from including genomics. Example: Dairy cattle health (Parker Gaddis et al., 2013)

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (19) Cole Some novel phenotypes being studied Age at first calving (Cole et al., 2013) Dairy cattle health (Parker Gaddis et al., 2013) Methane production (de Haas et al., 2011) Milk fatty acid composition (Bittante et al., 2013) Persistency of lactation (Cole et al., 2009) Rectal temperature (Dikmen et al., 2013) Residual feed intake (Connor et al., 2013)

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (20) Cole What do we do with novel traits? l Put them into a selection index w Correlated traits are helpful l Apply selection for a long time w There are no shortcuts l Collect phenotypes on many daughters w Repeated records of limited value w Genomics can increase accuracy

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (21) Cole Conclusions Non-additive effects may be useful for increasing selection intensity while conserving important heterozygosity Whole-genome sequencing has been very successful at helping economically important loss-of-function mutations Novel phenotypes are necessary to address global food security and a changing climate

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (22) Cole Acknowledgments Paul VanRaden, George Wiggans, Derek Bickhart, Dan Null, and Tabatha Cooper Animal Improvement Programs Laboratory, ARS, USDA Beltsville, MD Tad Sonstegard, Curt Van Tassell, and Steve Schroeder Bovine Functional Genomics Laboratory, ARS, USDA, Beltsville, MD Chuanyu Sun National Association of Animal Breeders Beltsville, MD Dan Gilbert The Brown Swiss Cattle Breeders’ Association of the USA, Beloit, WI

5 th International Symposium on Animal Functional Genomics, Guarujá, SP, Brazil, 10 September 2013 (23) Cole Questions?