Studies on genetic mechanisms of wound healing in mammals are very few, although injury is a leading cause of the global burden of disease. In this study, we performed a high-density, genome-wide scan using 633 (MRL/MPJ × SJL/J) F 2 intercross at multiple time points (days 15, 21, and 25) to identify quantitative trait loci (QTL) involved in wound healing/regeneration. The hypothesis of the study was that QTL and unique epistatic interactions are involved at each time point to promote wound healing/regeneration. Ten QTL were identified from chromosomes 1, 4, 6, 7, 9, and 13. Of the 10 QTL, eight from chromosomes 1, 4, 6, and 9 were novel as compared to QTL identified in the McBrearty et al. (1998) study. The 10 QTL altogether explained 70% of variance in F 2 mice. The same QTL were identified at each time point, with simple linear correlation between days 15, 21, and 25, showing very high significant relationships (R >0.92, P <0.0001). Unique epistatic interactions were identified at each time point except those from chromosomes 4, 6, 9, and 13 that were found at all three time points, showing that some loci are involved at all the three time points of wound healing (days 15, 21, and 25). Therefore, loci-to-loci interactions may play a major role in wound healing. Information from these studies may help in the identification of genes that could be involved in wound healing/regeneration.
Studies on the genetic mechanisms involved in the regulation of lean body mass (LBM) in mammals are minimal, although LBM is associated with a competent immune system and an overall good (healthy) body functional status. In this study, we performed a high-density genome-wide scan using 633 (MRL/MPJ x SJL/J) F(2) intercross to identify the quantitative trait loci (QTL) involved in the regulation of LBM. We hypothesized that additional QTL can be identified using a different mouse cross (MRL/SJL cross). Ten QTL were identified for LBM on chromosomes (chrs) 2, 6, 7, 9,13 and 14. Of those ten, QTL on chrs 6, 7 and 14 were exclusive to LBM, while QTL on chrs 4 and 11 were exclusively body length. LBM QTL on chrs 2 and 9 overlap with those of size. Altogether, the ten LBM QTL explained 41.2% of phenotypic variance in F(2) mice. Five significantly interacting loci that may be involved in the regulation of LBM were identified and accounted for 24.4% of phenotypic variance explained by the QTL. Five epistatic interactions, contributing 22.9% of phenotypic variance, were identified for body length. Interacting loci on chr 2 may influence LBM by regulating body length. Therefore, epistatic interactions as well as single QTL effects play an important role in the regulation of LBM.
Most previous studies to identify loci involved in bone mineral density (BMD) regulation have used inbred strains with high and low BMD in generating F(2) mice. However, differences in BMD may not be a requirement in selecting parental strains for BMD quantitative trait loci (QTL) studies. In this study, we intended to identify novel QTL using a cross of two strains, MRL/MpJ (MRL) and CAST/EiJ (CAST), both of which exhibit relatively high BMD when compared to previously used strains. In addition, CAST was genetically distinct. We generated 328 MRL x CAST F(2) mice of both sexes and measured femur BMD and periosteal circumference (PC) using peripheral quantitative computed tomography. Whole-genome genotyping was performed with 86 microsatellite markers. A new BMD QTL on chromosome 10 and another suggestive one on chromosome 15 were identified. A significant femur PC QTL identified on chromosome 9 and a suggestive one on chromosome 2 were similar to those detected in MRL x SJL. QTL were also identified for other femur and forearm bone density and bone size phenotypes, some of which were colocalized within the same chromosomal positions as those for femur BMD and femur PC. This study demonstrates the utility of crosses involving inbred strains of mice which exhibit a similar phenotype in QTL identification.
Development of gene therapies for wound healing will depend on the identification of the genes involved in wound healing and tissue regeneration. Previous quantitative trait loci (QTL) studies in mice using the ear punch model have shown that major QTL exist on chromosome (Chr) 9 for soft tissue regeneration. In this study, we have developed a congenic line that contains the Chr 9 QTL chromosomal region from super healer MRL/MpJ in the genomic background of poor-healing SJL/J. The phenotypic effect of this QTL was confirmed in male mice, where the congenic line has shown significant healing improvement over SJL. Fine mapping of the Chr 9 QTL region with 23 markers at an average distance of 4.2 Mb using a total of 1,564 MRL/MpJ x SJL/J F(2) mice revealed the presence of at least three QTL peaks, implying that three separate loci may contribute to the phenotypic effect of this QTL. Based on the 2-LOD intervals, the total QTL region was confined to a combined length of no more than 28.2 Mb. Application of a Bayesian shrinkage estimation indicated that a major locus was located in a region of just 1.3 Mb.
To define control elements that regulate tissue-specific expression of the cystic fibrosis transmembrane regulator (CFTR), we have sequenced 60 kb of genomic DNA from the puffer fish Fugu rubripes (Fugu) that includes the CFTR gene. This region of the Fugu genome shows conservation of synteny with 800-kb sequence of the human genome encompassing the WNT2, CFTR, Z43555, and CBP90 genes. Additionally, the genomic structure of each gene is conserved. In a multiple sequence alignment of human, mouse, andFugu, the putative WNT2 promoter sequence is shown to contain highly conserved elements that may be transcription factor or other regulatory binding sites. We have found two putative ankyrin repeat-containing genes that flank the CFTR gene. Overall sequence analysis suggests conservation of intron/exon boundaries betweenFugu and human CFTR and revealed extensive homology between functional protein domains. However, the immediate 5′ regions of human and Fugu CFTR are highly divergent with few conserved sequences apart from those resembling diminished cAMP response elements (CRE) and CAAT box elements. Interestingly, the polymorphic polyT tract located upstream of exon 9 is present in human and Fugu but absent in mouse. Similarly, an intron 1 and intron 9 element common to human and Fugu is absent in mouse. The euryhaline killifish CFTR coding sequence is highly homologous to the Fugusequence, suggesting that upregulation of CFTR in that species in response to salinity may be regulated transcriptionally.[The sequence data described in this paper have been submitted to the GenBank data library under accession no. AJ271361, for the combined cosmids 159C9, 146H13, 6M15, and 145M20.]
Developing treatment strategies for osteoporosis would be facilitated by identifying genes regulating bone mineral density (BMD). One way to do so is through quantitative trait locus (QTL) mapping. However, there are sex differences in terms of the presence/absence and locations of BMD QTLs. In a previous study, our group identified a BMD QTL on chromosome 17 in the F(2) female mice of the MRL/MpJ x SJL/J cross. Here, we determined whether it was also present in the male mice of the same cross. Furthermore, we also intended to reduce the QTL region by increasing marker density. Interval mapping showed that the same QTL based on chromosomal positions was present in the male mice, with logarithmic odds (LOD) scores of 4.0 for femur BMD and 5.2 for total body BMD. Although there was a body weight QTL at the same location, the BMD QTL was not affected by the adjustment for body weight. Mapping with increased marker density indicated a most likely region of 35-55 Mb for this QTL. There were also co-localized QTLs for femur length, femur periosteal circumference (PC) and total body bone area, suggesting possibility of pleiotropy. Runx2 and VEGFA are strong candidate genes located within this QTL region.
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