I. C. A. Martin
University of Sydney
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by I. C. A. Martin.
Mammalian Genome | 1998
B. W. Kirkpatrick; A. Mengelt; N. Schulman; I. C. A. Martin
Marker-quantitative trait locus (QTL) linkage was evaluated in F2 intercross and backcross mouse populations derived from stocks differing dramatically in prolificacy and mature weight. A highly prolific outbred Quackenbush-Swiss mouse line, or an inbred line derived from it (16.62 ± 0.22 and 14.64 ± 0.27 pups per litter, respectively) were used as one of the grandparents in these populations. The less prolific C57BL/6J inbred mouse line (6.67 ± 0.37 pups per litter) was used as the other grandparent. Linkage was evaluated in a three-step process that involved selective genotyping of F2 intercross progeny representing extremes for prolificacy, genotyping of the full F2 for chromosomal regions potentially associated with prolificacy, and genotyping of the backcross for genomic regions significantly associated with prolificacy in the F2. Segments of Chromosomes (Chrs) 2 and 4 were significantly (P < 0.05, experiment-wise error rate) associated with prolificacy, and LOD scores suggestive of linkage were observed for litter size on Chr 9 and growth on Chrs 4 and 11. Existence of growth QTL was also supported by marker effects that were significant (P < 0.05) or approaching significance (P < 0.10) in the backcross. Additive litter size QTL effects ranged from 0.56 to 0.79 pups per litter, and dominance deviations ranged from −0.56 to 1.19 pups per litter, suggesting overdominance as a possible mode of gene action in some cases. The observation of pleiotropic or linked QTL for growth and prolificacy corresponds well with results from many selection experiments identifying positively correlated responses to selection for these two traits.
Circulation Research | 2006
Edwin P. Kirk; Changbaig Hyun; Peter C. Thomson; Donna Lai; M. Leticia Castro; Christine Biben; Michael F. Buckley; I. C. A. Martin; C. Moran; Richard P. Harvey
Atrial septal defect (ASD) is a common congenital heart disease (CHD) occurring in 5 to 7 per 10 000 live births. Mutations in 5 human genes (NKX2.5, TBX5, GATA4, MYHC, ACTC) are known to cause dominant ASD, but these account for a minority of cases. Human and mouse data suggest that ASD exists in an anatomical continuum with milder septal variants patent foramen ovale (PFO) and atrial septal aneurysm, strongly associated with ischemic stroke and migraine. We have previously shown in inbred mice that the incidence of PFO strongly correlates with length of the interatrial septum primum, defining a quantitative trait underlying PFO risk. To better understand genetic causation of atrial septal abnormalities, we mapped quantitative trait loci (QTL) influencing septal morphology using mouse strains (QSi5 and 129T2/SvEms) maximally informative for PFO incidence and 3 quantitative septal anatomical traits including septum primum length. [QSi5×129T2/SvEms]F2 intercross animals (n=1437) were phenotyped and a whole genome scan performed at an average 17-cM interval. Statistical methodology scoring PFO as a binary phenotype was developed as a confirmatory mapping technique. We mapped 7 significant and 6 suggestive QTL modifying quantitative phenotypes, with 4 supported by binary analysis. Quantitative traits, although strongly associated with PFO (P<0.001), correlated poorly with each other and in all but 1 case QTL for different traits were nonoverlapping. Thus, multiple anatomical processes under separate genetic control contribute to risk of PFO. Our findings demonstrate the feasibility of modeling the genetic basis of common CHD using animal genetic and genomic technologies.
Mammalian Genome | 1993
Andrew C. Collins; I. C. A. Martin; B. W. Kirkpatrick
To identify genetic markers linked to growth and litter size quantitative trait loci (QTL), we undertook analysis of genomic regions associated with the growth hormone and insulin-like growth factor-1 (Igf-1) loci. Results from a variety of studies suggest the growth hormone cascade affects growth, body composition, and reproductive traits. These studies include selection experiments, endocrine studies, and evaluation of transgenics. Recent studies with transgenic mice have confirmed earlier results from endocrine studies (reviewed by Isaksson et al. 1988) by demonstrating that extra copies of the growth hormone (Gh) gene can stimulate greater than normal development in mice (Palmiter et al. 1983; Yun et al. 1990). Up to a twofold increase in body size above that of normal litter mates can occur, though there is no correlation between body size and transgene copy number (Palmiter et al. 1983). Animals possessing Gh transgenes have serum Igf-1 concentrations that are elevated twoto threefold above normal levels (Palmiter et al. 1983; Ward and Nancarrow 1991). Stimulation of Igf-1 production through the action of Gh may cause increased growth in transgenic animals. Gh-deficient animals possessing Igf-I transgenes attain body sizes similar to those of their normal litter mates (Behringer et al. 1990). Corroborative evidence for the contribution of the growth hormone cascade comes from results of selection studies in which mice were divergently selected for serum Igf-1 levels; increased Igf-1 levels were associated with increased growth in all cases (Blair et al. 1988, 1989; Baker et al. 1991). Effects of the growth hormone cascade on reproduction are less dramatic, though evidence exists in several species. In cattle, endocrine studies have identiffed differences between high and low prolificacy females in both serum and follicular Igf-1 concentrations (Echternkamp et al. 1990), and administration of re-
BMC Genomics | 2008
Palaniappan Ramanathan; I. C. A. Martin; Margaret Gardiner-Garden; Peter C. Thomson; Rosanne M. Taylor; Christopher J. Ormandy; C. Moran; Peter Williamson
BackgroundHighly fecund mouse strains provide an ideal model to understand the factors affecting maternal performance. The QSi5 inbred strain of mice was selected for high fecundity and low inter-litter interval, and is very successful at weaning large numbers of offspring when compared to other inbred strains.ResultsPost-natal pup weight gain was used to estimate mammary gland output and to compare the performance of QSi5 mice to CBA mice. Cumulative litter weights and individual pup weight gain was significantly higher throughout the first eight days of lactation in QSi5 mice compared to CBA mice. Morphometric analysis of mammary glands during pregnancy in QSi5 mice revealed a 150 percent greater ductal side branching compared to CBA mice (P < 0.001). Ontology and pathway classification of transcript profiles from the two strains identified an enrichment of genes involved in a number of pathways, including the MAPK, tight junction, insulin signalling and Wnt signalling. Eleven of these genes, including six genes from the MAPK signalling pathway, were identified as associated with postnatal growth. Further, positive mediators of Wnt signalling, including Wnt4, Csnk2a1 and Smad4, were over-represented in the QSi5 strain profile, while negative regulators, including Dkkl1, Ppp2r1a and Nlk, were under-represented. These findings are consistent with the role of Wnt and MAPK signalling pathway in ductal morphogenesis and lobuloalveolar development suggesting enhanced activity in QSi5 mice. A similar pattern of phenotype concordance was seen amongst 12 genes from the tight junction pathway, but a pattern did not emerge from the insulin signalling genes. Amongst a group of differentially expressed imprinted genes, two maternal imprinted genes that suppress growth induced via the IGF signalling pathway, Grb10 and Igf2r, were under-represented in QSi5 mice. Whereas Peg3 and Plagl1, both paternally imprinted genes that enhance neonatal growth, were over-represented in QSi5 mice.ConclusionWe propose that the combined action of at least three major signalling pathways involved in mammary gland development and milk secretion, namely Wnt, MAPK and tight junction pathways, contribute to the superior maternal performance phenotype in QSi5 mice. Additionally, favourable expression patterns of the imprinted genes Peg3, Plagl1, Grb10 and Igf2r may also contribute.
Mammalian Genome | 2004
Carol C. Cheung; I. C. A. Martin; Kyall R. Zenger; Jenny Donald; Peter C. Thomson; C. Moran; Michael F. Buckley
Platelet count in humans is a strongly genetically regulated trait, with approximately 85% of the interindividual variance in platelet numbers attributable to genetic factors. Inbred mouse strains also have strain-specific platelet count ranges. As part of a project to identify novel factors that regulate platelet count, we identified two inbred mouse strains, CBA/CaH and QSi5, with substantial differences in platelet count (mean values of 581 vs. 1062 × 109/L). An F2 intercross resource of 1126 animals was bred from these two parental strains for a genomewide scan for quantitative trait loci (QTL) for platelet count. QTL were identified on MMU1 (LOD 6.8, p < 0.0005) and MMU11 (LOD 11.2, p < 0.0005) by selectively genotyping animals from the extremes of the F2 platelet count distribution. Three other QTL of suggestive statistical significance were also detected on MMU7, 13, and 17. It is noteworthy that no QTL were detected in the vicinity of the genes encoding thrombopoietin (Thpo), and its receptor (c-Mpl), both known to influence platelet production. Comparison of gene expression levels between the parental mouse strains by microarrays also showed little difference in the mRNA levels of these known candidate genes. These results represent the first published use of a genetic linkage-based approach in a mouse model toward the identification of genetic factors that regulate platelet count.
Mammalian Genome | 2004
Marte Holt; Frank W. Nicholas; John W. James; C. Moran; I. C. A. Martin
A highly fecund inbred mouse line has been established from the Quackenbush Swiss (QS) outbred strain by full-sib inbreeding combined with selection for high number of pups born alive (NBA) and low interlitter interval (ILI). After more than 50 generations of inbreeding and selection, this line, named QSi5, has an NBA of 13.4 and an ILI of 29 days, averaged over the first four parities, and a total productivity of 50.7 NBA. With its exceptional reproductive performance, this line will be very useful in the creation of resources (including advanced intercross lines) for analysis of quantitative trait loci for a wide range of traits, and for the cost-effective creation of congenic lines.
Journal of Mammary Gland Biology and Neoplasia | 2007
Palaniappan Ramanathan; I. C. A. Martin; Peter C. Thomson; Rosanne M. Taylor; C. Moran; Peter Williamson
Mouse models have been widely used to elucidate the biology of mammary gland development and secretory activation. Recent advances in the availability of genomic resources for mice will generate a renewed effort to define the genetic basis of lactation phenotypes and help identify candidate gene pathways. Specific aspects of these advances are relevant to the dairy industry and may provide a rationale for improving milk production in the dairy cow. Differences are evident in mammary gland morphology and various characteristics of milk production of inbred mouse strains, but few studies have undertaken any systematic phenotypic analysis of the different inbred strains of mice for lactation performance. Whole genome association analysis using recent strain-specific genotype data and detailed phenotype measurements from available inbred strains, along with transcript profiling of divergent inbred strains for lactation performance, provides a valuable approach to identify putative candidate genes and associated pathways underlying dairy QTL intervals. Here we discuss the utility of integrating mouse phenomic and genomic resources for understanding secretory activation in the mammary gland.
Journal of Comparative Pathology | 1989
Rosanne M. Taylor; I. C. A. Martin; Brian R. H. Farrow
Male English springer spaniel dogs affected with fucosidosis, a lysosomal storage disorder, were found to be infertile while females with the disease reproduced successfully. Ejaculates of semen collected from affected dogs had reduced total sperm output and morphologically abnormal spermatozoa. A high proportion of ejaculated spermatozoa had midpiece droplets, bent tails and poor motility. Severely vacuolated epididymal epithelial cells were observed by light microscopy. Electron microscopic examination revealed membrane-bound vacuoles of variable size containing scanty amounts of granular to fibrillar material in epididymal epithelial cells, smooth muscle, myoid cells and Sertoli cells. Male infertility is believed to result from lysosomal storage of fucosyl-linked substrates in cells of the reproductive system. The extensive lesions in the epididymis may have interfered with maturation and transport of spermatozoa. Also, deficiency of alpha-L-fucosidase activity could have impaired the shedding of cytoplasmic droplets from spermatozoa and altered the surface glycoprotein composition of the sperm during epididymal transit.
Physiological Genomics | 2013
Jerry Wei; Palaniappan Ramanathan; I. C. A. Martin; C. Moran; Rosanne M. Taylor; Peter Williamson
Mammary transcriptome analyses across the lactation cycle and transgenic animal studies have identified candidate genes for mammogenesis, lactogenesis and involution; however, there is a lack of information on pathways that contribute to lactation performance. Previously we have shown significant differences in lactation performance, mammary gland histology, and gene expression profiles during lactation [lactation day 9 (L9)] between CBA/CaH (CBA) and the superior performing QSi5 strains of mice. In the present study, we compared these strains at midpregnancy [pregnancy day 12 (P12)] and utilized these data along with data from a 14th generation of intercross (AIL) to develop an integrative analysis of lactation performance. Additional analysis by quantitative reverse transcription PCR examined the correlation between expression profiles of lactation candidate genes and lactation performance across six inbred strains of mice. The analysis demonstrated that the mammary epithelial content per unit area was similar between CBA and QSi5 mice at P12, while differential expression was detected in 354 mammary genes (false discovery rate < 0.1). Gene ontology and functional annotation analyses showed that functional annotation terms associated with cell division and proliferation were the most enriched in the differentially expressed genes between these two strains at P12. Further analysis revealed that genes associated with neuroactive ligand-receptor interaction and calcium signaling pathways were significantly upregulated and positively correlated with lactation performance, while genes associated with cell cycle and DNA replication pathways were downregulated and positively correlated with lactation performance. There was also a significant negative correlation between Grb10 expression and lactation performance. In summary, using an integrative genomic approach we have identified key genes and pathways associated with lactation performance.
Animal Genetics | 2012
M Moradi Marjaneh; I. C. A. Martin; Edwin P. Kirk; Richard P. Harvey; C. Moran; Peter C. Thomson
An advanced intercross line (AIL) is an easier and more cost-effective approach compared to recombinant inbred lines for fine mapping of quantitative trait loci (QTL) identified by F(2) designs. In an AIL, a complex binary trait can be mapped through analysis of either continuously distributed proxy traits for the liability of the binary trait or the liability itself, the latter presenting the greater statistical challenge. In another work, we successfully applied both approaches in an AIL to fine map previously identified QTL underlying anatomical parameters of the cardiac inter-atrial septum including patent foramen ovale. Here, we describe the statistical methods that we used to analyse complex binary traits in our AIL design. This is achieved using a likelihood-based method, with the expectation-maximisation algorithm allowing use of standard logistic regression methods for model fitting.