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Trait gene mapping in a cross between two divergent pig breeds - Duroc and Mangalica pigs
1997 Report

Report title: Progress report year 1
Reporting period: 01 January 1997 to 31st December 1998
Report issued on: 31 March 1998
Contract number: IC15CT96-0915
Project start date and duration: 01 January 1997, 36 months
EU funding: 450,000 ECU
Project title: "Trait gene mapping in a cross between two divergent pig breeds - Duroc and Mangalica pigs"
Key words: gene mapping, pigs, fat

List of partners:

Dr. Alan. L. Archibald Coordinator (Partner 1)
Roslin Institute
United Kingdom (GB)
Tel: 44 131 527 4200
Fax: 44 131 440 0434
E-mail: Alan.Archibald@bbsrc.ac.uk
Professor Leif Andersson Contractor (Partner 2)
Swedish University of Agricultural Sciences
Uppsala, Sweden (SE)
Tel: 46 18 174904
Fax: 46 18 504461
E-mail: Leif.Andersson@bmc.uu.se
Dr. Laszlo. Varga
Contractor (Partner 3)
Agricultural Biotechnology Centre
Gödöllö, Hungary (HU)
Tel: 36 28 330600
Fax: 36 28 330416
E-mail:varga@abc.hungarnet.hu
Dr. Peter Szabo Associate Contractor (Partner 4)
Debrecen University of Agriculture
Debrecen, Hungary (HU)
Tel: 36 52 347888/3245
Fax: 36 52 347888/3131
E-mail: szabop@fs2.hungarnet.hu
Dr. Peter Dovc
AssociateContractor (Partner 5)
University of Ljubljana
Ljubljana, Slovenia (SI)
Tel: 386 61 713611
Fax: 386 61 721005
E-mail: PETER.DOVC@UNI-LJ

Scientific progress report

Background

The Mangalica breed was developed in Hungary in the first half of the last century for lard production. Numbers of the Mangalica breed have declined sharply since the Second World War in response to the demand for lean meat. In 1936 86% of the 5 million swine population in Hungary was Mangalica, declining to 5% in 1950. The move to lean meat production has been effected by breed substitution with the Mangalica being replaced by Landrace and Large White pigs from Western Europe. Thus, the Mangalica is now threatened with extinction and its desirable alleles for other aspects of pig production could be lost. In this project we are primarily concerned with using the Mangalica to understand the genetic control of fatness in pigs. This greater understanding will allow the pig breeding industry to develop informed and flexible responses to changes in consumer demand for pig meat. The Duroc breed was developed in North America and is renowned for its high meat quality. Some of the Duroc’s reputation for meat quality may be associated with its intramuscular fat (or "marbled" meat). Thus, the fat in the Mangalica is predominantly found as backfat and in the Duroc as intramuscular fat. The former is currently considered undesirable, whilst the latter is perceived as the key to meat quality and cookability. Other potentially interesting differences between the Mangalica and the Duroc included prolificacy, growth rate, coat type and colour. The Duroc grows rapidly, but the Mangalica is late maturing. Whilst the Duroc’s prolificacy may not match that of the Min Chinese breeds it is better than that of the Mangalica (3-7 piglets per litter). The Mangalica has a "wooly" or "curly" dark coat whilst the Duroc is conspicuously red.

One of the reasons for establishing the Duroc/Mangalica cross was to develop a genotype which is suitable for extensive conditions, with grazing, in a low input environment, with low veterinary costs. The cross utilises the growth rate, the conformation and mainly the meat quality of the Duroc. The crossbred pigs will be sold on the Spanish market as a basis for the Serrano ham. The role of the Mangalica breed is to protect the ham from drying out during the 1-3 years long maturation process with its excessive intramuscular fat and the 2-3 cm depth of fat on the ham. The special nutrition, the management and the biochemical processes during the long maturation provide a flavour to the ham that is popular on the market and provides an extra profit for the producer. Our initial programme that was designed to protect the Mangalica from the extinction provided the base population for the present research started in 1997.

Recent experiments in pigs suggest that, contrary to the predictions of some sceptics, there are genes with significant effects on economically important traits in livestock. The rapidly improving maps of the porcine genome have provided the tools to locate these trait genes. For example, a region of chromosome 4 containing QTLs which control a large part of the variation in total body fatness in a Wild Boar x Large White cross (Andersson et al., 1994. Science 263:1771). QTLs influencing fat levels have also been found on chromosomes 4 and 7 in a Large White x Meishan cross (Walling et al., 1998: Proceedings of the 6th World Congress on Genetics Applied to Livestock Production, Armidale, NSW, Australia, 12-16 January, 1998 Vol 23, 519-522.)

 

Objectives and planned actions

The purpose of this research project is to build on the established maps of the porcine genome developed in the earlier EC-funded PiGMaP collaborations to locate chromosomal regions influencing traits of economic importance and to develop new mapping resources for the identification of trait genes. Such regions are termed quantitative trait loci (QTLs). We are seeking to identify QTL that control fatness, and hence product quality, in the pig. We are using a cross between two divergent pig breeds - Duroc and Mangalica - to study the genetic control of fatness.

The specific project objectives are -

 

Contributions of the individual partners

The results from the first twelve months of this research project are presented in an integrated manner. The contributions of individual partners are highlighted throughout. This consolidated report was compiled from laboratory reprots that are appended to this report.

 

1 Mapping QTLs

1.1 Establishing Mangalica x Duroc crosses - Mangalica x Duroc crosses have been established by partner 4 as three-generation F2 intercrosses with the Mangalica and Duroc as the purebred grandparents. Briefly, a single Mangalica boar has been crossed to 20 Duroc sows to generate F1 pigs. The F1 pigs have been mated inter se to generate F2 pigs.

For each pig body weight at the age of weaning (30-35 days), at 90 days, at 210 days and at the age of slaughter are measured. For the slaughtered pigs body weight after slaughter, fat depths were measured, killing out percentage, fat percentage were calculated and meat content was predicted.

After birth when the individual piglets are tagged the colour of the animal is recorded together with the sex. (e.g. dirty white, roan, light brown, light brown with stripes, full brown with stripes, black with stripes and grey with stripes). Records on colour are also taken at seven months of age.

Full details of this experimental pig population are included in the laboratory report from partner 4.

 

1.2 DNA sampling, storage and distribution - Blood samples have been taken from 244 pigs and DNA prepared by partner 3 and distributed to the other participating laboratories (partners 1, 2 and 5) (see Table 1).

 

 

Table 1: Blood and DNA samples

 

Blood samples received

DNA prepared

DNA samples distributed

Mangalica

Duroc

14

13

13

F1

69

57

49

F2

161

71*

8

Total

244

140

70

* most of the F2 pigs were sampled in November 1997, DNA preparation and distribution is in progress

 

1.3 Optimising genotyping methods and primer sets - In order to map quantitative trait loci it is necessary to genotype the pigs for genetic markers that provide good coverage of the porcine genome. Microsatellite markers are ideal for QTL mapping studies as they are highly polymorphic and can be relatively rapidly using the polymerase chain reaction (PCR) and automated fluorescent DNA fragment analysers (sequencers). Markers appropriate for genotyping the Mangalica x Duroc crosses are selected on the basis of their known map locations and the alleles present in the purebred Mangalica and Duroc grandparents.

Approximately 100-150 informative markers are required for the genome scan. Methods have been optimised for multiplex PCR, pooling PCR products, and gel electrophoresis on ABI 377 and ABI 310 fluorescent DNA fragment analysers by partners 2 (ABI 377), 3 (ABI 310) and 5 (ABI 310). The purchase of this specialised equipment (ABI 310) for partners 3 and 5 was funded in part through this EC INCO Copernicus grant. To date protocols have been established for ninety markers (see Table 2). The results are encouraging as about seventy-fine percent of the markers tested are informative in the Mangalica x Duroc F1 males.

 

Table 2: Markers optimised for genotyping

Chromosome

Marker name

Chromosome

Marker name

1

CGA

8

S0225

1

S0155

8

S0178

1

S0122

8

SW905

1

SW1430

8

SW2160

2

S0226

9

SW911

2

SW240

9

S0295

2

S0141

9

SW983

2

SW1201

10

SW443

2

SW2623

10

SW830

3

S0002

10

S0070

3

SW72

11

S0230

3

SW902

12

S0090

4

S0227

13

S0068

4

S0001

13

SW398

4

S0217

14

SW857

4

S0073

14

SW295

4

S0214

14

SW1557

5

IGF1

14

SW210

5

S0005

14

SWc27

5

SW378

15

SW936

6

SW122

15

SW906

6

S0003

16

S0026

6

S0035

16

SW2411

6

S0059

17

SW24

7

SW632

17

SW840

7

S0101

X

SW949

7

SW352

   

7

TNFB

   

 

2 Library development

QTL mapping studies will identify chromosomal regions that contain genes controlling traits of economic and biological significance. There are two strategies for the subsequent identification and isolation of such trait genes - ‘positional cloning’ or the ‘positional candidate gene approach’. We are developing the key resources necessary for implementing these strategies - large fragment genomic libraries and catalogues of (mapped) expressed sequences (or genes). DNA library resources for exploring regions containing QTL have been established including, a porcine adipose tissue cDNA library, a library enriched for CpG islands and a large fragment library in the BAC vector.

2.1 A porcine adipose cDNA library - An adipose cDNA library has been produced by partner 1 from adipose mRNA isolated from a Large White x Meishan F1 female pig. The cDNAs were directionally cloned into Lambda Zap II and excised as plasmid clones in pBluescript. This library is an obvious source of candidate genes controlling fatness.

Clones representing abundant adipose tissue transcripts were indentified by screening the library with labeled total adipose cDNA. Two hundred such abundant clones and two hundred clones picked at random were subjected to single pass sequencing from their 5’ ends. The resulting DNA sequences were used to search the EMBL, Genbank and ESTdb databases using BLAST. The initial results of these searches are summarised in Table 3.

Table 3: Classification of sequenced cDNA clones

Class

Random clones

‘Abundant’ clones

Total

Match to known gene

72

36

108

No match

80

55

135

Mitochondrial

25

42

67

contains pig repetitive DNA sequences

6

13

19

Total

183

146

329

 

2.2 A porcine CpG island library - A porcine genomic library enriched for CpG island sequences has been established (McQueen et al., 1997). Such a library provides a valuable complementary resource to a cDNA library. cDNA libraries only represent genes being expressed in a particular tissue at the time of production, and even in normalised libraries some rare transcripts may be missed. Around 60% of genes in man are associated with CpG islands, including all housekeeping genes and 40% of tissue-specific genes. They thus provide a useful adjunct to cDNA libraries in giving access to a large number of genes independent of developmental stage. The library is available through the UK HGMP Resource Centre, Hinxton, Cambridge CB10 1SB, UK (for details see –

URLs: http://www.hgmp.mrc.ac.uk/Public/Docs/Bio/CpG_island_libraries.html

and http://www.hgmp.mrc.ac.uk/).

This library was produced in a parallel collaborative project by partner 1.

2.2 A porcine BAC library - A large fragment genomic library has been established by partner 1 in the bacterial artificial chromosome (BAC) vector (pBeloBAC11). One hundred and two thousand five hundred clones have been individually picked in duplicate into 384-well plates and stored at -70ºC. As the average size of the cloned fragments is 150 kilobasepairs this library represents about 5-fold coverage of the pig genome. The library will be transferred to the UK HGMP Resource Centre who will prepare DNA pools for PCR screening and gridded filters for screening by hybridization. These resources will be available through the Resource Centre by summer 1998.

 

Problems encountered

Although the litter sizes in the Mangalica x Duroc population are within acceptable limits, the losses of pigs between birth and weaning has been particularly high in these cross bred litters. Thus, it will be necessary to reconsider the experimental design of the QTL mapping components of the project. For example, it may be necessary to switch from selective genotyping of extremes in the population to genotyping the entire three-generation cross.

 

Publications and papers

H.A. McQueen, V.H. Clark, A.P. Bird, M. Yerle and A.L. Archibald, CpG islands of the pig. Genome Research 7: 924-931 (1997)

 

Outline plan for the next year.

The objectives for the second year of this project include -

 

Partner progress reports - partner 1

 

Partner summary report

 

Detailed scientific results

 

Adipose cDNA library

Pig mRNA was isolated from adipose tissue from a Large White - Meishan F1 pig and a cDNA library created using Stratagene's ZAP-cDNA Synthesis Kit. This procedure results in a library of cDNA inserts directionally cloned in pBluescript. This has three benefits: 1) it allows easy handling of the DNA as a plasmid, 2) Blue/white colour selection of recombinant clones, 3) The known orientation allows selection of appropriate primers for sequencing 5' and 3' ends.

Two hundred colonies were randomly selected plus another two hundred positives colonies, selected after a colony hybridisation using labelled total adipose cDNA as a probe. This latter group should represent abundant transcripts (mRNA) and therefore genes highly expressed in adipose tissue. The clones were sequenced from the 5’ end using T3 primer. The sequences were loaded into a programme which selected readable sequence, trimmed off vector sequence and then performed Blast searches (GenEmbl, Tags/EST, Fugu databases) with the data in order to identify homologous sequences and the identity of particular cDNAs.

After sequencing the first hundred "highly expressed" cDNAs it became apparent that there was a large percentage of mitochondrial (34%) and repetitive sequences (20%) represented. A second round of colony hybridisation was performed, this time probing replica filters with labeled genomic DNA. Colonies which lit up with both cDNA and DNA probes were assumed to be repetitive and those that hybridised only to the cDNA probe, the highly expressed genes. A further 100 colonies were picked from this group and sequenced.

This extra round of screening resulted in a drop in the number of repetitive sequences (3%) and the level of mitochondrially derived cDNAs (21%). When the level of these two types of sequences was compared to their representation in the 200 randomly picked clones (mit 14%, rep 6%) it appears that the selection is still preferentially picking out these types of sequences rather than highly expressed genes. This is confirmed further by the fact that there is not much difference in the percentage of adipose related genes identified (4%) compared with the random "low abundance" group (6%). "Adipose related genes" were identified as those that mention adipose/adipocyte/lipid/lipocyte in their names. Some of the other genes identified may be equally "adipose related". The unidentified portion of the selected clones could also contain highly expressed adipose-related genes.

The 103 cDNAs that have been assigned putative identities were sequenced from the 3' end using M13 Forward primer. These 3’ sequences that should correspond to the 3’-untranslated regions of these genes (cDNA) will be used for the development of polymorphic markers.

In all the cDNAs studied so far there were very few di/tri/tetranucleotide repeats, with only two larger than 6 repeating units ( [GTT]10 and [TA]9) although there were a lot of single polynucleotide runs. Primers are now being designed to amplify the 3' UTR of the adipose related cDNAs for SSCP analysis.

 

BAC library

A large fragment genomic library for the pig in a BAC vector (pBeloBAC11) has been established. A library of 102,912 independent clones with an average insert size of 150 kilobasepairs (Kbps) has been established. As the size of the pig genome is estimated at 2.8 x 109 basepairs (bps) such a library should provide about five-fold genome coverage. The cloned DNA was isolated from an F1 Meishan/Large White boar from the Roslin QTL mapping populations. The clones were individually picked into 384-well microplates, replica plates made and both copies stored independently at -70ºC.

One complete copy of the library will be transferred to the MRC Human Genome Mapping Project Resource Centre on the Hinxton genome campus. Filters and PCR pools from library which has now been named the PigE BAC library (Edinburgh pig BAC library), will be made available through the MRC HGMP Resource Centre.

Six BAC clones have been subjected to prolonged culture equivalent to 100 cell generations in order to check the stability of the cloned material. These clones appear to be stable as verified by sizing restriction digest products.

 

CpG island library

A library enriched for CpG islands was prepared according to the procedures described by Cross et al., (Cross, S. H., Charlton, J. A., Nan, X. & Bird, A. P., 1994. Nature Genetics 6, 236-244.). Briefly, genomic DNA is cleaved with MseI. The MseI digested DNA is passed down a MBD (methyl binding domain) column. Heavily methylated DNA is retained on the column. The DNA in the column eluate is methylated in vitro and then passed down a second MBD column. The retained fraction represents DNA fragments with clusters of CpG (unmethylated in vivo, but now methylated experimentally). After repeated passing over the column the retained fraction is eluted in a salt gradient. The eluted fraction that is enriched for CpG islands is then cloned to constitute a CpG island library. The distribution of CpG islands throughout the pig genome was examined with fluorescent in situ hybridization in collaboration with INRA Toulouse. When viewed in the context of the known conservation of genome organisation between pigs and humans it is evident that the distribution of CpG islands is similar in both species. The pig CpG island library represents a valuable library of genomic fragments associated with genes. The library has been lodged at the MRC HGMP Resource Centre and is thus available to other research groups.

 

Project database

A generic database (RseSpecies) has been developed to hold data from linkage and QTL-mapping experiments. The database model supports the ongoing PiGMaP Linkage Consortium. This database model has also been implemented for this INCO-Copernicus project. Details of the animals, pedigrees and marker genotypes are stored. Data will be accessible to the project partners via the World Wide Web.

 

Staff

Dr. Alan L. Archibald (coordinator)

Dr. Judy F. Brown (post-doctoral scientist - molecular biology; funded through EC contribution to this project)

Dr. Andy Law (post-doctoral scientist - database)

Dr. Chris S. Haley (senior research scientist - quantitative genetics)

 

Partner progress reports - partner 2

 

Partner summary report

 

Detailed scientific results

 

Implemention of methods for large scale analysis of microsatellite markers.

The major task for the Uppsala group will be to analyse a large number of microsatellite markers. We have therefore optimised our methods for microsatellite analysis. We have established a method where we use an ABI877 robotic workstation for setting up multiplex PCR, for pooling PCR products, and for adding loading buffer and size markers before gel electrophoresis. Good specificity with a minimum of stuttering is obtained by using AmpliTaq Gold, Touch-down PCR and tailed primers. The fluorescently labeled PCR products are separated on sequencing gels using an ABI377 instrument. The procedure works very well in our hands and we are now set up for the genome scan to be carried out in 1998.

 

Detection of informative microsatellite markers

A set of 60 different microsatellite markers has been screened for informativeness using the three F1 sires of the intercross pedigree. The individual genotypes are provided are listed in Table 2.1. The results are very good since as many as 54 markers were informative in at least one F1 sire and a majority of markers were informative in all three sires.

 

Meetings

Leif Andersson participated in the first project meeting in Hungary, March 1997

 

Staff

Leif Andersson, professor

Karin Sitte, post doctoral fellow, Feb-Apr (funded with EC contribution to this project)

Elisabetta Giuffra, July-Dec (funded with EC contribution to this project)

 

Table 2.1: Marker parameters and microsatellite genotypes for F1 sires

 

Chr

LOCUS

DYE

Tailed?

942504

942554

 

952569

 

1

CGA

HEX

t

281

296

277

296

het

het

1

S0155

FAM

t

161

165

165

167

161

165

1

S0122

FAM

180

182

180

180

180

182

1

SW1430

JOE

162

162

158

162

158

162

2

S0226

FAM

t

187

195

195

201

187

195

2

SW240

TET

t

95

97

97

109

97

97

2

S0141

HEX

t

229

233

229

233

229

233

2

SW1201

HEX

t

215

221

208

217

217

229

2

SW2623

TAMRA

123

143

143

143

143

143

3

S0002

HEX

t

207

215

207

215

207

207

3

SW72

FAM

t

106

118

106

106

106

106

3

SW902

FAM

187

200

198

200

187

198

4

S0227

HEX

t

236

260

236

260

236

260

4

S0001

FAM

184

184

186

190

186

190

4

S0217

TET

144

144

144

144

144

156

4

S0073

FAM

t

116

118

116

118

116

118

4

S0214

TET

128

138

128

134

128

128

5

IGF1

FAM

t

208

210

210

210

208

210

5

S0005

TET

t

239

239

239

239

239

239

5

SW378

TET

124

124

124

126

124

124

6

SW122

FAM

t

126

126

126

128

122

126

6

S0003

HEX

132

160

132

160

132

160

6

S0035

FAM

t

183

185

181

183

181

183

6

S0059

FAM

147

157

149

153

149

153

7

SW632

TET

t

169

177

175

177

175

177

7

S0101

HEX

t

218

222

218

220

216

220

 

Table 2.1 (contd): Marker parameters and microsatellite genotypes for F1 sires

 

Chr

LOCUS

DYE

Tailed?

942504

942554

 

952569

 

7

SW352

TET

110

het

110

het

110

het

7

TNFB

TAMRA

162

182

168

170

168

170

8

S0225

HEX

t

176

194

176

194

194

196

8

S0178

TET

t

114

118

114

114

114

118

8

SW905

FAM

134

134

134

152

134

152

8

SW2160

TAMRA

175

187

183

187

183

187

9

SW911

FAM

t

163

173

167

173

167

173

9

S0295

FAM

t

238

252

238

238

238

238

9

SW983

FAM

112

118

112

118

112

118

10

SW443

HEX

t

114

122

114

122

122

122

10

SW830

FAM

178

180

178

180

178

180

10

S0070

FAM

279

287

275

279

281

287

11

S0230

FAM

t

321

321

321

321

315

321

12

S0090

FAM

t

249

251

251

255

251

255

13

S0068

TET

t

254

256

252

256

252

256

13

SW398

HEX

t

183

187

183

187

183

187

14

SW857

HEX

t

161

163

161

163

96

100

14

SW295

TET

t

137

139

123

135

135

139

14

SW1557

TET

t

94

het

99

101

94

99

14

SW210

FAM

239

247

218

235

219

235

14

SWc27

FAM

162

162

158

162

162

162

15

SW936

FAM

t

101

115

101

109

101

109

15

SW906

TET

t

175

179

175

177

175

177

16

S0026

HEX

t

96

100

96

100

161

163

16

SW2411

JOE

201

201

201

205

201

205

17

SW24

TET

t

112

116

112

120

104

110

17

SW840

TAMRA

129

129

129

129

129

131

X

SW949

TET

173

185

185

185

185

185

 

 

 

Partner progress reports - partner 3

 

Partner summary report

 

Detailed scientific results

We take part in four activities belonging to the work package 1 - Mapping QTLs:

1.3) DNA sampling, storage and distribution.

1.4) Optimising genotyping methods and primer sets.

1.5) Genome scanning to map QTL-s in Mangalica crosses.

1.7) Fine scale QTL mapping.

In 1997 we have made progress with activities in 1.3 and 1.4.

 

DNA preparation, storage and distribution (1.3)

One of the major tasks of our group is DNA preparation from blood taken by partner 4. The quantity of anticoagulated blood samples was usually 15 ml. We tried simple salting out protocols for extracting DNA, instead of hazardous organic solvent extraction. First we tested the "WIZARD Genomic DNA Purification Kit" (Promega). The quality and quantity of DNA was similar to those obtained from phenol-chloroform extraction. In order to reduce the cost of the procedure, the simple procedure described by Miller et al 1988 was used with modifications. DNA extracted by this procedure yields on the average 20 µg of DNA from 300 µl blood, with 1.7 purity. We isolated DNA from small blood samples in order to be able to repeat preparation several times even from the irreplaceable samples. This method was economical, safe and rapid.

 

Table 3.1: Current data on blood and DNA samples:

 

Blood samples received

DNA prepared

DNA samples distributed

Mangalica

Duroc

14

13

13

F1

69

57

49

F2

161

71*

8

Total

244

140

70

* most of the F2 samples arrived in November 1997, so we had not enough time to prepare DNA from these. We are going to send the second set of DNA samples with a part of these F2-s in the near future.

 

There were several coagulated bloods among the samples mainly at the beginning of the experiment. Unfortunately there was no possibility to replace some of these by new blood samples because the animals were slaughtered meanwhile. For this reason we were looking for special DNA preparation methods from clotted blood. We applied the procedure using Chelex 100 (Walsh et al. 1991), but without success. This experiment will be repeated.

 

1.4) Optimising genotyping methods and primer sets.

We have purchased in February 1997 an ABI Prism 310 Genetic Analyser (Perkin Elmer Applied Biosystems) which is an automated fluorescent DNA fragment analyser, suitable for microsatellite detection and genotyping.

Last year a project meeting was held in Hungary. Partners 1, 2, 3 and 5 divided the microsatellite sets available, to genotype in the four laboratories. Microsatellites suitable for coamplification were selected on the basis of similar reaction conditions and compatible allele size ranges. Our task is to genotype the following 9 microsatellites in three triplex reactions

 

Table 3.2: Chromosome location, size range and annealing temperatures for selected markers

Label / Marker

Chr.

Size (Min-Max)

Anneal. temp

HEX-TRIPLEX

S0227

4

231-256

55

S0225

8

170-196

55

SW951

10

125-133

58

FAM-TRIPLEX

S0090

12

244-251

55

S0226

2q

181-205

55

SW122

6

110-122

58

TET-TRIPLEX

S0228

6

222-249

55

S0218

X

164-184

55

S0178

8

110-124

55

 

Fluorescencent labeled primers were obtained from partner 1. Partner 2 suggested PCR component concentration and cycling parameters on the basis of their results using ABI 377 Sequencer. We used the following touchdown PCR cycling conditions for each locus, although SW951 and SW122 required higher annealing temperature compared to the other loci.

 

 

Table 3.3: PCR conditions

Temp.

Time

Cycle No

Cycle

95ºC

10 min

1.

1

 

95ºC

15 sec

   

65-53ºC

30 sec

2 - 14

13

72ºC

60 sec

   

 

95ºC

15 sec

   

52ºC

30 sec

15 - 35

21

72ºC

60 sec

   

 

72ºC

10 min

36.

1

 

We found that the intensity of PCR products varied considerably within the triplex reactions. In order to obtain compatible signal intensities, we modified the suggested individual primer concentrations and also the MgCl2 concentrations.

 

Table 3.4 : PCR reaction components were as follows:

Reaction vol

5 µl

DNS

50 ng

dNTPs

200 m M each

AmpliTaq Gold

0.25 U

 

Table 3.5: Final PCR conditions for selected markers

Primer nM

Size (Min-Max)

Suggested

Modified

Suggested

Modified

HEX-TRIPLEX

S0227

200

300

2.5

2.5

S0225

800

250

2.5

2.5

SW951

200

100

2.5

2.5

FAM-TRIPLEX

S0090

200

300

2.5

2.5

S0226

600

100

2.5

2.5

SW122

1000

200

2.5

2.5

TET-TRIPLEX

S0228

600

200

2.5

2.0

S0218

200

100

2.5

2.0

S0178

600

200

2.5

2.0

 

Pooling the products of the three triplex PCR reactions

PCR products from the three triplex reaction were combined in a pool in the ratio of 1:1:1 (1 µl each), mixed with TAMRA-500 internal size standard and diluted before loading for electrophoresis. Examination of the electrophoretograms revealed that, the top of several peaks were missing, in spite of that we had used reduced primer concentrations. The reason for this is sample overloading, which causes spectral interference between the dye labels during analysis. Reducing the ratio of the TET-triplex (0.25 µl) in the pool and reducing the injection time from 5 sec - recommended by manufacturer - to 3 sec, prevented overloading, thereby eliminating sizing errors.

Using this modified protocol, we genotyped a small family form the Duroc x Mangalica cross - F1 parents and 5 F2 offspring - for the 9 microsatellites (Table 3.)

 

Table 3.6: Inheritance of marker types for Sw951, S0225, S0227

HEX

ID No.

SW951

S0225

S0227

F1 Male

942504

120/120

167/185

226/250

F1 Female

952579

120/127

167/185

226/250

F2

960191

120/120

167/185

226/250

F2

960192

120/120

167/185

226/226

F2

960193

120/120

167/185

226/250

F2

960194

120/127

167/185

226/226

F2

960198

120/127

185/185

226/250

 

FAM

ID No.

SW122

S0226

S0090

F1 Male

942504

?/?

180/188

?/?

F1 Female

952579

109/114

188/194

242/246

F2

960191

114/114

188/194

240/246

F2

960192

114/114

180/188

242/246

F2

960193

114/114

188/188

240/246

F2

960194

114/114

180/188

240/242

F2

960198

114/114

180/194

240/246

 

TET

ID No.

S0178

S0218

S0228

F1 Male

942504

?/?

164/164

222/222

F1 Female

952579

112/121

156/166

222/222

F2

960191

112/112

?/?

222/222

F2

960192

112/112

164/166

222/222

F2

960193

110/121

?/?

222/222

F2

960194

112/121

156/164

222/222

F2

960198

112/112

156/166

222/222

 

The amplified fragments correspond to the expected size ranges for the 9 loci. Loci labeled with the same dye were sufficiently different in size and resolved well enough so as not to overlap and cause difficulties in data interpretation. Genotyping was carried out by manual interpretation of each allele, having no Genotyper software yet.

Only one (S0228) microsatellite was homozygous out of the 9 loci examined in this family. It is very likely that even this locus will be informative in the genomes scan analysis. We would like to compare our results to those of the other participants involved in marker optimisation. The next project meeting will provide an opportunity of making these comparisons.

 

The capacity of the ABI Prism 310 is 48 samples daily. Using the optimised genotyping method the 244 samples could be genotyped within one week.

 

References

Miller, S.A., D.D. Dykes and H.F. Polesky (1988) Simple salting out procedure for extracting DNA form human nucleated cells. NAR. Vol 16 (3) 1215.

Zeillinger, R., C. Schneeberger and P. Speiser (1993) A simple method for isolation of DNA from blood clots suited for use in PCR. BioTechniques 14, 202-203.

Walsh, P.S., D.A. Metzger and R. Higuchi (1991) Chelex 100 as a medium for simple extraction of DNA for PCR-based typing from forensic material. BioTechniques 10, 506-513.

 

 

 

Partner progress reports - partner 4

 

Partner summary report

 

Detailed scientific results

Note: Tables 4.2 > and Figures 4.1 are appended to the end of this consolidated report.

 

Background

The research started with the Duroc and Mangalica pig breeds. The Mangalica breed which is known for its intensive fat production, can be found mainly in Hungary.

The aim of the two-breed crossing was to develop a genotype that is suitable for extensive conditions, with grazing, in a low input environment, without veterinary cost. The cross utilises the growth rate, the conformation and mainly the meat quality of the Duroc. The crossbred pigs were planned to be sold on the Spanish market as a basis for the Serrano ham. The role of the Mangalica breed is to protect the ham from drying out during the 1-3 years long maturation process with its excessive intramuscular fat and the 2-3 cm depth of fat on the ham. The special nutrition, the management and the biochemical processes during the long maturation provide a flavour to the ham that is popular on the market and provides an extra profit for the producer.

 

Establishment of three-generation Mangalica x Duroc F2 population (work activity 1.1)

Most of the F1 pigs required for the three-generation crosses within the INCO-Copernicus project were generated prior to the start of the project. 144 inseminations were carried out on F1 sows with F1boars between the period of 01.09.1996 and 30.12.1997. These inseminations are yielding the necessary F2 pigs.

 

Number of farrowings: (producing F1 pigs)

Year

Number

Comment

1994

1

 

1995

12

(+ 7, from the " 37" blond Mangalica boar)

1996

4

(+ 1, from the "147" sow - there is no blood sample)

1997

2

(+ 1, from the "138" sow - there is no blood sample)

Total

19

(+ 9, that are not available for research)

     

 

Number of farrowings: (producing of F2 pigs)

04.05.1996 – 22.11.1996 21

out of this from the "37" blond Mangalica boar 3

Number of litters in the research: 18

01.01. 1997– 15.12.1997 69

out of this that is not available for research 13

Number of litters in the research: 56

Total number of litters:

 

Genotype

year

litters

 

1994

11

F1

1995

97

 

1996

28

 

1997

13

Total:

 

149

Out of these 44 F1 sows are available for the research, 13 are not swallow bellied and are not used in the research.

Genotype

year

litters

F2

1996

182 + 16*

 

1997

482 + 105*

* Not used in the research because the F1 born from blond Mangalica boars.

 

Blood sampling (work acctivity 1.3)

Blood samples have been collected as follows and the samples passed to partner 3 for the preparation of DNA.

 

Blood samples from boars:

"14" swallow-bellied Mangalica

"47" Duroc x swallow-bellied Mangalica F1

"76" Duroc x swallow-bellied Mangalica F1

"77" Duroc x swallow-bellied Mangalica F1

1996 4 samples (from 2 boars)

30.07.1997. 6 samples (from 2 boars)

10.10.1997. 6 samples (from 3 boars)

Total: 16 blood samples

 

Blood samples from Duroc sows:

1996 17 samples (4, twice)

10.10.1997. 3 samples

Total: 20 blood samples

 

Blood samples F1 sows:

1996 13

07.03.1997. 70 (8, taken twice)

30.07.1997. 28

4 (taken at the abattoir, for replacement)

3 (taken at the abattoir, for replacement)

10.10.1997. 16

Total: 134 blood samples

 

 

 

Blood samples from F2 porklings:

Blood samples of 34 animals till the ear notch number of 97372 were not needed in the research. Out of the 338 pigs born 181 individual reached the age when the taking of blood was possible.

07.03.1997. 18

30.07.1997. 99 (9 for replacement)

10.10.1997. 64 (4 for replacement)

Total: 181 blood samples

 

Recording trait / performance data (work activity 1.2)

Fattening data

Body weight at the age of weaning (30-35 days), at 90 days, at 210 days and at the age of slaughter are measured. Survival rates according to litters are also recorded.

 

Slaughtering data

Pigs slaughtered

30.05.1997. 30

29.07.1997. 34

21.10.1997. 40

09.12.1997. 30

Total: 134

Body weight after slaughter and fat depths were measured, killing out percentage, fat percentage were calculated, meat content was predicted.

 

Data collection for colour inheritance:

After the birth at the first treatment of the piglets when individual tagging is made the colour of the animal is recorded together with the sex. (e.g. dirty white, roan, light brown, light brown with stripes, full brown with stripes, black with stripes and grey with stripes). Records on colour are also taken at the age of seven months.

 

Prolificacy and survival:

We can examine the number, and the weight of piglets born and weaned in the 72 farrowings. In the analysis of the prolificacy results concerning the negative effects of inbreeding, the F1 sow population was divided into three groups:

 

Table 4.1.

Identity of the Duroc mother

Identity of the F1

sow

Ear notch of F1 sow

132

940899

10

14

952525

952524

 

135

940779

13

20

40

44

46

952550

952551

952553

952552

952555

136

940787

 

15

952559

134

940784

17

30

36

37

952545

952544

952540

952573

48

920108

18

26

29

34

952579

952586

952587

952585

137

940781

19

952571

46

920021

23

32

252600

952599

141

940973

28

57

952607

952610

146

940931

48

51

55

56

962524

962527

962523

962526

142

940580

42

52

962522

692518

 

The prolificacy results according to the groupings above are presented in table 4.2., 4.3. and 4.4. We have the data of litters from 12 littermates, 18 fullsibs and 42 halfsibs. A large difference can be found in the number of piglets born. 129 F2 piglets were born from the F1 littermate matings, with the littersize of 10.75, which can be considered as an excellent result even in the Large White breed (Table 4.2.). 165 F2 piglets were born from the 18 F1 fullsib mating with an average littersize of 9.17 (Table 4.3.). The least related - the halfsib (F1 sows from different mothers and the F1boar) - mating resulted 357 piglets in 42 litters, with an average litter size of 8.5 (Table 4.). 1.58 more piglets were born from the littermate matings than from the fullsib matings but from different, and 2.25 more piglets were born than from the halfsib matings. The number of piglets weaned were 9.0; 7.61; and 7.33 in the same order. The differences moderated compared to the differences found at birth to 1.39 and 1.67.

The heaviest weaning weight (4.82 kg) of piglets at the age of 30 days was found in the littermate matings compared to the fullsib (4.60 kg) and halfsib (4.55 kg) mating. The litterweight of the littermate matings were heavier with 8.4 kg and 10.0 kg compared to the other two mating respectively. So increased prolificacy meant increased mothering abilty too in the case of littermate matings.

Besides the acceptable prolificacy, the survival rate was also acceptable 83.7, 82.98 and 86.33% in littemate, fullsib and halfsib matings respectively. In the second and third farrowings the prolificacy significantly increased in the case of littermate and halfsib matings and significantly decreased in fullsib matings with 2 piglets.

The data of 72 farrowings are presented in table 4.5. In the experiment 651 piglets were born so far, with an average litter size of 9.04. Comparing this result to the prolificacy of Duroc and Mangalica this is acceptable especially knowing that these are from sib matings. (Figure 4.1.). The average litter size at weaning is 7.67 with a survival rate of 84.8 %, compared to the usual 88-90% till the age of 30 days.

 

Growth and fattening parameters:

The main problems of inbred piglets are the low viability, the low suckling activity. During the suckling and later phases the death rate is larger (Table 4.6, Figure 4.2.). Consequently the average weaning weight (4.6 kg) of inbred piglets is 2-3 kg lower (30-40%) than those of non-inbred piglets. The 90-day weight of F2 porklings are 30% lower than of the purebred Duroc porklings (Figure 4.4.).

While at the age of 210 days the purebred Duroc pigs attained the slaughter weight (116.4 kg), the average weight of F2-s were only 84.36 kg – which is 28.5 % less in growth rate (Table 4.7.). Since the different genotypes differed in optimal slaughter weight and age, the ADG was chosen for the basis of comparison. The ADG of pureberd Duroc was 542 g, the ADG of Duroc x Mangalica F1 was 453 g (-16.5 %), the ADG of F2 genotype was 349 g (35.5 %) (Table 4.8., Figure 4.5.). The 100 g/day loss in the ADG of F1 is a consequence of the poor growth rate of the Mangalica. The mating of the closely related F1 –s resulted in a further 100 g/day decrease, which is a result of inbreeding in the F2 generation. The three genotypes were kept and fed in the same environment.

 

Slaughter parameters:

Out of the 134 pigs slaughtered 107 were F2, 16 were F1 and 11 were Blond Mangalica. The slaughter parameters were compared to 56 Duroc pigs. The results are presented in Table 4.9. The Duroc pigs are slaughtered when they reach 110 kg weight. At this weight gives the largest amount of meat, or lean %. Above this weight the lean % decreases. The optimal slaughter weights of Mangalica or Duroc x Mangalica F1 and F2 genotypes are higher.

Fifty years ago the Mangalica pigs as fat pigs were fattened till the weight of 180-250 kg, to get a larger amount of fat. The fat % attained 65-75 %. The Mangalica and Duroc x Mangalica F1 –s slaughtered in the experiments were 136 and 145 kg. The average slaughter weight of the 107 Duroc x Mangalica F2 were 130.4 kg.

From economic point of view it is important that the pigs attain the optimal slaughter weigth at an early age. Unfortunately neither the Mangalica, nor the F1 or F2 pigs did not attain the optimal weight but because of the low growth rate they have been slaughterd earlier. It can be seen in table 4.9, with increasing slaughter weight the loss decreases, that the killing out % increases. This is especially favourable in the case of purebred Mangalica and in the case of F2 -s.

Reduced fat in the carcass is desirable. The fat increases the value only of special products. The least amount of fat (30.65%) were produced by the Duroc, the largest amount was produced by the Mangalica, 45.43 % (Figure 4.6.). This amount is favourable for producing special ham and lard, but market price does not allow to sell it in large amount. The fat % of the F1 generation was 37.14 %, having the average of the purebreds, which shows intermediate inheritance. The fat % increases by 10 % in the F2 generation compared to the F1.

The predicted lean meat % shows a close relationship with the fat % in the case of the different genotypes. 54.6 % lean meat was found in the Duroc pigs and 40.2 % in the Mangalica pigs. 47.8 % lean meat was found in the F1 generation that is close to the pureberd average. The meat deposition in the F2 generation decreased to the Mangalica, independently from the same nutrition – one intensive phase from 30 kg to 100-130 kg.

 

The exterior and colour:

No visible character of the Duroc can be seen in the F1 pigs; the F2 generation especially resemble the Mangalica. Short rounded middle, short and rounded neck. An excessive deposition of fat can be seen below the jaw. The legs are short and thin. While the F1 –s have larger frames and straight, wild type hair, the F2 –s have smaller frame and have thin, curly hair.

The colour of Duroc x Mangalica F1 pigs from birth to weaning is uniform. The colour is dark brown with yellow stripes at birth. The stripes are very similar to those of the wild boars, but darker probably because of the Swallow bellied father. In the later phase of growth the colour of the F1 –s is dark grey, and often similar to the colour of the wild boar especially at the top of shoulder. The colour of the F2 –s is very variable. The following colours were differentiated in which similar colours, and colours with and without stripes were grouped.

e.g.

{

black (white or red shadow on the belly and on the jowl)

   

black (dark stripe)

 

{

dark brown (red-brown) usually a duroc characteristic

   

dark brown striped

 

{

roan (light brown)

   

roan striped

 

{

dirty white (pigmented and it is different from the colour of the LW)

   

pale unicolor

   

grey striped (characteristics of the Blonde Mangalica)

 

The colours litters of the three F1 boars [47(942504), 76(952554), 77(952569)] were recorded, and photographed. The colour was recorded at the first treatment of the piglets after birth. Twenty-four litters (173 piglets) of the three F1 boars were recorded. The results are presented in table 4.10.

The most frequent colour was the brown 43.3% that is similar to the Duroc colour unicolour or striped. The frequency of the black was 25.4% which is a characteristic of the Swallow-bellied Mangalica. The frequency of the roan and the pale was 26% together (Figure 4.7.) The frequency of the grey that is the colour of the Blond Mangalica at the suckling age was 5.2 %. This shows that there were blond ancestors of the Id.14 boar and the Swallow bellied Mangalica. The frequency folows the Mendelian 1:2:1 distribution from which the blond colour was segregated. The ratio of unicolour and striped seems steadely 1:2 in all colours. All grey individuals are striped. There were twice as much roan coloured individuals in the males than in the females, while the dark colour was more frequent in the females. The ratio of unicolour:striped was 31.5:68.5 % in the males, close to 1:2 , while in the females was 26.8:73.2 %, also close to 1:2. The difference might arise from the small number of individuals, similarly in the sex ratio of 44 % males and 56 % females.

 

The framework of the continuation of the experiment:

Number of F2 pigs (31.12.1997.):

 

Bodyweight (kg)

No. of pigs

Expected date of slaughter

 

100-120

50

02.1998.

Fattening pigs

80-100

50

04.1998.

 

60-80

50

06.1998.

 

40-60

100

08.1998.

Weaned pigs

25-40

40

10.1998.

 

15-25

110

12.1998.

Suckling piglets

3-6

25

(12.1998.)

Total:

 

425

 

 

Expected date of blood sampling:

01.1998.

100 sample

 

03.1998.

100 sample

 

05.1998.

100 sample

Number F2 piglets expected to born:

01-02.1998.

60

03-04.1998.

100

05-06.1998.

100

07-08.1998.

100

09-10.1998.

100

11-12.1998.

100

Total:

560

 

Statistical analysis will be carried out when more data available.

 

Partner progress reports - partner 4

 

Partner summary report

 

Detailed scientific results

We take part in three activities from work package 1 - Mapping QTLs:

1.4) Optimising genotyping methods and primer sets.

1.5) Genome scanning to map QTL-s in Mangalica crosses.

1.7) Fine scale QTL mapping.

In 1997 we have made progress with activity 1.4

 

During this year we purchased the ABI Prism 310 automatic sequencer (partially financed from this project) and we started with optimisation of genotyping procedure for the marker sets 9 through 12 (Table 5.1). These marker sets that were developed by Dr. Groenen, Wageningen Agricultural University within the context of the EC-funded PiGMaP II programme, were discussed at the project meeting in Hungary in March 1997. Primers for markers in sets 9 to 12 were provided by partner 1.

 

 

During the optimisation procedure we tried to group markers according to fragment size, dye label and annealing temperature in duplex reactions. If we can establish robust conditions for duplex or multiplex PCR, then we can make significant savings in the consumable (and labour) cost of the genotyping required for the QTL-mapping or genome scanning phase of the project. We have established duplex PCR conditions for the following pairs of markers.

S0106 and SW2406

SW2419 and SW2443

SW1023 and SW1632

S0088 and S0287

We have also established PCR conditions that allow us to co-amplify one triplex: SW21, S0355 and S0091.

 

At some loci the resolution / identification of alleles is still uncertain and needs improvement. In total our laboratory has responsibility for 27 markers in the genome scan. At present we can successfully amplify 22 of these microsatellite loci.

Even using a "Touchdown" protocol we are not able to amplify the remaining five loci. If these difficulties cannot be resolved we will, in discussion with the other partners, select alternative closely linked markers from the published maps.

 

Our group would be interested in isolation of CYP450 cDNA from the cDNA library from adipose tissue. Due to its possible influence on reproduction traits it might be an interesting side product of this research project.

 

 

Table 5.1: Microsatellite markers being optimised for high throughput genotyping

 

Set

Locus

Chromosome

Size range

9

S0091

2

148-168

 

SW742

16

193-224

 

S0102

7

123-143

 

SW2419

6

115-135

 

SWR453

5

173-189

 

SW2514

2

220-250

 

SW2406

6

220-256

 

SW1632

11

178-206

 

S0106

12

135-143

 

S0378

5

121-145

10

SW1557

14

86-98

 

S0036

2

114-128

 

SW2456

X/Y

189-211

 

SW787

18

153-161

 

SW2443

2

200-214

 

S0355

15

245-271

 

SW21

9

123-139

 

SW1482

5

98-136

 

S0004

15

164-172

 

SWC9

2

225-239

 

SW2476

X/Y

88-106

 

SW1119

15

144-160

11

SW1851

1

81-97

 

SW840

17

121-137

 

SW940

9

149-157

 

S0298

16

172-176

 

SW2

5

88-126

 

S0076

13

148-184

 

SW2008

11

91-101

 

SW332

5

109-115

 

S0088

15

148-164

12

SW1023

18

94-117

 

SW1057

6

150-188

 

SW983

9

95-121

 

S0143

12

148-162

 

S0287

13

188-190

 

SW2410

8

108-124

 

SPP1

8

142-164

 

During the year 1998 we will finish the genotyping of F1 animals and proceed with genotyping of F2 animals. If necessary we will include some new markers in the target area of the genome.

 

Meetings

Peter Dovc participated at the 1st project meeting in Gödöllö Hungary, March 1997.

 

Staff

Peter Dovc, professor

Tamara Milosevic Berlic

 

 

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