Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where A. Law is active.

Publication


Featured researches published by A. Law.


European Journal of Immunology | 2003

Natural killer cell receptors in cattle: a bovine killer cell immunoglobulin-like receptor multigene family contains members with divergent signaling motifs

Anne K. Storset; Imer Ö. Slettedal; John L. Williams; A. Law; Erik Dissen

Natural killer (NK) cells recognize and kill certain tumor cells, virally infected cells and MHC classu2004I‐disparate normal hematopoietic cells. NK cell cytotoxicity is regulated by a multitude of receptors with either activating or inhibitory signaling function. We here report the molecular cloning of bovine CD94 [killer cell lectin‐like receptor (KLR)‐D1] and NKp46 orthologues, four members of a bovine CD158 [killer cell immunoglobulin‐like receptor (KIR)] family, and a novel KLR. This novel receptor was termed KLRJ1 and is most similar to Ly‐49 (KLRA). The KLRD1 and KLRJ1 loci were mapped to a bovine NK gene complex on chromosomeu20045 by radiation hybrid mapping, whereas KIR2DL1 and NKP46 were localized to chromosomeu200418. Two of the bovine KIR(KIR2DL1 and KIR3DL1) contain immunoreceptor tyrosine‐based inhibition motifs (ITIM), suggesting an inhibitory function. Bovine KIR2DS1 and KIR3DS1 lack ITIM but have an arginine‐containing motif in their transmembrane domain, similar to primate KIR2DL4. Thus, KIR multigene families with divergent signaling motifs do not only exist in primates. Based on sequence comparison, it appears that the primate and bovine KIR multigene families may have evolved independently.


Nucleic Acids Research | 2001

The ARKdb: genome databases for farmed and other animals

Jian Hu; Christopher J. Mungall; A. Law; Richard Papworth; J. Paul Nelson; Alison Brown; Irene Simpson; Shirley Leckie; David W. Burt; Alan L. Hillyard; Alan Archibald

The ARKdb genome databases provide comprehensive public repositories for genome mapping data from farmed species and other animals (http://www.thearkdb.org) providing a resource similar in function to that offered by GDB or MGD for human or mouse genome mapping data, respectively. Because we have attempted to build a generic mapping database, the system has wide utility, particularly for those species for which development of a specific resource would be prohibitive. The ARKdb genome database model has been implemented for 10 species to date. These are pig, chicken, sheep, cattle, horse, deer, tilapia, cat, turkey and salmon. Access to the ARKdb databases is effected via the World Wide Web using the ARKdb browser and Anubis map viewer. The information stored includes details of loci, maps, experimental methods and the source references. Links to other information sources such as PubMed and EMBL/GenBank are provided. Responsibility for data entry and curation is shared amongst scientists active in genome research in the species of interest. Mirror sites in the United States are maintained in addition to the central genome server at Roslin.


Mammalian Genome | 2000

Mapping of obesity QTLs in a cross between mouse lines divergently selected on fat content.

Simon Horvat; L. Bünger; Victoria M. Falconer; Pamela Mackay; A. Law; Grahame Bulfield; Peter D. Keightley

Abstract. A genome-wide quantitative trait locus (QTL) analysis was performed in a polygenic obesity mouse model resulting from a long-term selection experiment. The parental lines were outbred lines divergently selected for 53 generations for high-fat (fat, F line) or low-fat (lean, L line) percentage (fat%) that differed fivefold in fat% at 14 weeks of age. An F2 population of 436 mice was used for the QTL analysis with 71 markers distributed across the genome. The analysis revealed significant QTLs Fob1 (for F-line obesity QTL 1), Fob2, Fob3, and Fob4, on Chromosomes (Chrs) 2, 12, 15, and X, respectively. None of these QTLs map to regions of known single gene obesity mutations (Lepob, Leprdb, Cpefat, Ay, tub), though they map to regions of previously described obesity QTLs and candidate genes. The effects of Fob1, Fob3, Fob4 were additive, and that of Fob2 was dominant. Fob2 also showed a significant female-specific effect. Fob1, Fob2, Fob3, and Fob4 explained 4.9%, 19.5%, 14.4%, and 7.3% of the F2 phenotypic variance for fat%, respectively. This study identified four loci that contributed to the response to divergent selection and control a significant proportion of the difference in obesity between the F and L lines.


BMC Genomics | 2006

A second generation radiation hybrid map to aid the assembly of the bovine genome sequence

Oliver Jann; Jan Aerts; Michelle Jones; Nicola Hastings; A. Law; Stephanie D. McKay; E. Marques; Aparna Prasad; Jody Yu; Stephen S. Moore; Sandrine Floriot; Marie-Françoise Mahé; A. Eggen; Licia Silveri; Riccardo Negrini; E. Milanesi; Paolo Ajmone-Marsan; Alessio Valentini; Cinzia Marchitelli; Maria Carmela Savarese; Michal Janitz; Ralf Herwig; Steffen Hennig; C. Gorni; E.E. Connor; Tad S. Sonstegard; T. P. L. Smith; Cord Drögemüller; John L. Williams

BackgroundSeveral approaches can be used to determine the order of loci on chromosomes and hence develop maps of the genome. However, all mapping approaches are prone to errors either arising from technical deficiencies or lack of statistical support to distinguish between alternative orders of loci. The accuracy of the genome maps could be improved, in principle, if information from different sources was combined to produce integrated maps. The publicly available bovine genomic sequence assembly with 6× coverage (Btau_2.0) is based on whole genome shotgun sequence data and limited mapping data however, it is recognised that this assembly is a draft that contains errors. Correcting the sequence assembly requires extensive additional mapping information to improve the reliability of the ordering of sequence scaffolds on chromosomes. The radiation hybrid (RH) map described here has been contributed to the international sequencing project to aid this process.ResultsAn RH map for the 30 bovine chromosomes is presented. The map was built using the Roslin 3000-rad RH panel (BovGen RH map) and contains 3966 markers including 2473 new loci in addition to 262 amplified fragment-length polymorphisms (AFLP) and 1231 markers previously published with the first generation RH map. Sequences of the mapped loci were aligned with published bovine genome maps to identify inconsistencies. In addition to differences in the order of loci, several cases were observed where the chromosomal assignment of loci differed between maps. All the chromosome maps were aligned with the current 6× bovine assembly (Btau_2.0) and 2898 loci were unambiguously located in the bovine sequence. The order of loci on the RH map for BTA 5, 7, 16, 22, 25 and 29 differed substantially from the assembled bovine sequence. From the 2898 loci unambiguously identified in the bovine sequence assembly, 131 mapped to different chromosomes in the BovGen RH map.ConclusionAlignment of the BovGen RH map with other published RH and genetic maps showed higher consistency in marker order and chromosome assignment than with the current 6× sequence assembly. This suggests that the bovine sequence assembly could be significantly improved by incorporating additional independent mapping information.


Conservation Genetics | 2005

An assessment of European pig diversity using molecular markers: Partitioning of diversity among breeds

L. Ollivier; Lawrence Alderson; G. Gandini; Jean-Louis Foulley; Chris Haley; Ruth G Joosten; A. P. Rattink; B. Harlizius; M.A.M. Groenen; Yves Amigues; Marie-Yvonne Boscher; Geraldine Russell; A. Law; R. Davoli; V. Russo; Donato Matassino; Céline Désautés; Erling Fimland; Meena Bagga; J. V. Delgado; J. L. Vega-Pla; Amparo Martínez Martínez; A. M. Ramos; Peter Glodek; Johann-Nikolaus Meyer; Graham Plastow; K. Siggens; Alan Archibald; Denis Milan; Magali San Cristobal

Genetic diversity within and between breeds (and lines) of pigs was investigated. The sample comprised 68 European domestic breeds (and lines), including 29 local breeds, 18 varieties of major international breeds, namely Duroc, Hampshire, Landrace, Large White and Piétrain, and 21 commercial lines either purebred or synthetic, to which the Chinese Meishan and a sample of European wild pig were added. On average 46 animals per breed were sampled (range 12–68). The genetic markers were microsatellites (50 loci) and AFLP (amplified fragment length polymorphism, 148 loci). The analysis of diversity showed that the local breeds accounted for 56% of the total European between-breed microsatellite diversity, and slightly less for AFLP, followed by commercial lines and international breeds. Conversely, the group of international breeds contributed most to within-breed diversity, followed by commercial lines and local breeds. Individual breed contributions to the overall European between- and within-breed diversity were estimated. The range in between-breed diversity contributions among the 68 breeds was 0.04–3.94% for microsatellites and 0.24–2.94% for AFLP. The within-breed diversity contributions varied very little for both types of markers, but microsatellite contributions were negatively correlated with the between-breed contributions, so care is needed in balancing the two types of contribution when making conservation decisions. By taking into account the risks of extinction of the 29 local breeds, a cryopreservation potential (priority) was estimated for each of them.


Poultry Science | 2002

Mapping of quantitative trait loci for body weight at three, six, and nine weeks of age in a broiler layer cross

A. Sewalem; D. M. Morrice; A. Law; D Windsor; Chris Haley; C. O. N. Ikeobi; David W. Burt; Paul Hocking


Animal Genetics | 2002

Quantitative trait loci affecting fatness in the chicken

C.O.N. Ikeobi; John Woolliams; David Morrice; A. Law; D Windsor; Dave Burt; Paul Hocking


Animal Genetics | 2006

Genetic diversity within and between European pig breeds using microsatellite markers

M. SanCristobal; Claude Chevalet; Chris Haley; Ruth G Joosten; A. P. Rattink; B. Harlizius; M.A.M. Groenen; Yves Amigues; M.‐Y. Boscher; G. Russell; A. Law; R. Davoli; Vincenzo Russo; C. Désautés; L. Alderson; E. Fimland; M. Bagga; J. V. Delgado; J. L. Vega‐Pla; Amparo Martínez Martínez; M. Ramos; P Glodek; J. N. Meyer; G. Gandini; D. Matassino; Graham Plastow; K. Siggens; G. Laval; Alan Archibald; David J. Milan


Animal Genetics | 2005

Detection of quantitative trait loci for androstenone, skatole and boar taint in a cross between Large White and Meishan pigs

G J Lee; Alan Archibald; A. Law; S Lloyd; J. D. Wood; Chris Haley


Livestock Production Science | 2004

Quantitative trait loci for meat yield and muscle distribution in a broiler layer cross

C.O.N. Ikeobi; John Woolliams; David Morrice; A. Law; D Windsor; Dave Burt; Paul Hocking

Collaboration


Dive into the A. Law's collaboration.

Top Co-Authors

Avatar

Chris Haley

University of Edinburgh

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Bart Hellemans

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Dimitry A. Chistiakov

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge