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Table 1 Swine Genome Sequencing Consortium genome sequence analysis groups

From: Pig genome sequence - analysis and publication strategy

Analysis group

Lead contact

Notes

Assembly

Alan Archibald

alan.archibald@roslin.ed.ac.uk

The target for the next assembly is to incorporate all the available sequence data for Duroc 2-14, including BAC clones sequences, WGS Sanger and next-generation short sequence reads. Contig and scaffold order and orientation will be tested against other genome maps and in particular the high resolution radiation hybrid maps.

Structural variation, segmental duplication, copy number variation

Christian Bendixen

christian.bendixen@agrsci.dk

The reference genome sequence will be analysed for evidence of segmental duplications. Comparative Genomic Hybridisation data, paired-end and mate-pair re-sequence data from other pigs will be used to identify smtructural and copy number variation.

Repetitive DNA, transposable elements Speciation, wild and related suids and selection

Geoff Faulkner

geoff.faulkner@roslin.ed.ac.uk

Lawrence Schook

schook@uiuc.edu

Retroviruses and related repetitive sequences in Sus scrofa and related species will be characterized. Sequence and 60 K SNP genotype data from wild boar and related species will be explored to address the origins of domestic pigs. Comparative sequence analyses of domesticated and wild boar genome sequences is expected to reveal signatures of artificial and natural selection.

Evolution

Leif Andersson

Leif.andersson@imbim.uu.se

Natural and artificial selection will have shaped the pig genome sequence. Comparison of the pig genome sequence with the sequences of other mammals is expected to reveal genes that are evolving more rapidly in the pig and artiodactyl lineages.

Comparative genomics

Martien Groenen

Martien.groenen@wur.nl

Genome rearrangements and conserved synteny compared to other suids and other mammals.

Imprinting

Ole Madsen

Ole.madsen@wur.nl

RNA-seq data from a range of tissues from Duroc 2-14 or her clones will be analysed to identify genes that show differential allelic expression and potentially imprinted genes.

SNP

Martien Groenen

martien.groenen@wur.nl

Re-sequence data and the WGS sequence data from Duroc 2-14 will be examined for putative SNPs and small indels, including those for which Duroc 2-14 is heterozygous.

ncRNA

Jan Gorodkin

gorodkin@genome.ku.dk

The genome sequence will be explored for putative ncRNA sequences and microRNA encoding loci.

Gene builds

Steve Searle

Searle@sanger.ac.uk

The Ensembl automated pipeline will be used to establish a Gene Build for the pig genome that will be compared with builds generated by other systems including NCBI.

Protein interactions

Soren Brunak

brunak@cbs.dtu.dk

Development of a proteome will be initiated.

Immune genes

Chris Tuggle

cktuggle@iastate.edu

The immune gene analysis group will manually annotate pig genes predicted/known to have roles in the immune system. The repertoire of pig immune genes will be examined for evidence of pig-lineage specific features.

Reproduction

Max Rothschild

mfrothsc@iastate.edu

The reproduction gene analysis group will manually annotate pig genes predicted/known to have roles in reproductive functions and seek to identify pig-lineage specific features.

Obesity

Max Rothschild

mfrothsc@iastate.edu

The obesity gene analysis group will manually annotate pig genes predicted/known to have roles in obesity and seek to identify pig-lineage specific features

Olfaction, neuropeptide

and prohormone

Sandra Rodriguez-Zas

rodrgzzs@illinois.edu

Approximately 5% of the genes in the Sscrofa9 Gene Build are predicted to have olfactory functions. These genes will be manually annotated and examined for pig-specific characteristics. In addition, the neuropeptide and prohormone gene families will be annotated.

Manual annotation

Jim Reecy

jreecy@iastate.edu

The pig research community is engaged in efforts to manually Annotate genes identified/predicted by the Ensembl analysis pipeline. The otterlace system will be used to enable this community annotation activity.

Biomedical Models

Lawrence Schook

schook@illinois.edu

The use of genomic information to enhance the utilization of the pig in xenotransplantation and as a model for cardiovascular, cancer and obesity will be addressed. How genomic information supports the further development of transgenic pigs for creating essential animal models will also be discussed.