Provisional QTL for circadian period of wheel running in laboratory mice: quantitative genetics of period in RI mice.

Wheel running was monitored in B x D recombinant inbred (RI) mice under dark-dark (DD) conditions, and the mean circadian period was calculated for each strain. There were significant differences for this trait among B x D recombinant inbred strains (p < .0001) and a narrow-sense heritability of 21%. Analysis of strain means and variances indicates that at least four segregating loci contribute to the genetic variance for the free-running circadian period in this population. Correlation of the strain means for the circadian period of wheel running for each RI strain against the distribution of markers at over 1500 loci along the mouse genome identified a number of provisional quantitative trait loci (QTL). There were provisional QTL for wheel running at p < .001 on chromosome 11 and at p < .01 on chromosomes 1, 6, 9, 17, and 19. Most were in agreement with a second analysis done under similar conditions.     

Limitation of Number of Strains and Persistence of False Positive Loci in QTL Mapping Using Recombinant Inbred Strains

While the identification of causal genes of quantitative trait loci (QTL) remains a difficult problem in the post-genome era, the number of QTL continues to accumulate, mainly identified using the recombinant inbred (RI) strains. Over the last decade, hundreds of publications have reported nearly a thousand QTL identified from RI strains. We hypothesized that the inaccuracy of most of these QTL makes it difficult to identify causal genes. Using data from RI strains derived from C57BL/6J (B6) X DBA/2J (D2), we tested the possibility of detection of reliable QTL with different numbers of strains in the same trait in five different traits. Our results indicated that studies using RI strains of less than 30 in general have a higher probability of failing to detect reliable QTL. Errors in many studies could include false positive loci, switches between QTL with small and major effects, and missing the real major loci. The similar data was obtained from a RI strain population derived from a different pair of parents and a RI strain population of rat. Thus, thousands of reported QTL from studies of RI strains may need to be double-checked for accuracy before proceeding to causal gene identification.     

Quantitative trait loci influencing morphine antinociception in four mapping populations

Analgesia (pain reduction, or antinociception) is a classical and clinically important effect of morphine administration, and in rodent models sensitivity to morphine has been shown to be strongly influenced by genotype. For example, several studies have reported marked differences in morphine antinociception between the insensitive C57BL/6 (B6) and sensitive DBA/2 (D2) inbred mouse strains on the hot-plate assay. This prompted the present genome-wide search for quantitative trait loci (QTLs) that are chromosomal sites influencing the magnitude of antinociception, by using four mapping populations derived from the B6 and D2 progenitor inbred strains. These four were the BXD recombinant inbred (RI) strain set, an F2 (B6D2F2) population, short-term selective breeding for antinociception from a B6D2F2 founding population, and incipient or completed congenic strains. In the BXD RI set and in the B6D2F2, a genome-wide search identified 10-12 provisional QTLs at a nominal p <.05. The other populations were subsequently used as confirmation steps to test each of the provisional QTL regions. Based on all available mapping populations, four QTLs emerged as significant (p <.00005) on proximal Chromosome (Chr) 1 (females only), proximal Chr 9 (females only), mid Chr 9, and proximal Chr 10. The Chr 10 QTL comaps to the same region as the micro-opioid receptor gene (Oprm); this receptor is a known mediator of morphine's antinociceptive effects. The Chr 1 QTL was evident only in females and comapped with the kappa-opioid receptor gene, Oprk.     

New quantitative trait loci for the genetic variance in circadian period of locomotor activity between inbred strains of mice

Provisional quantitative trait loci (QTL) for circadian locomotor period and wheel-running period have been identified in recombinant inbred (RI) mouse strains. To confirm those QTL and identify new ones, the genetic component of variance of the circadian period was partitioned among an F2 intercross of RI mouse strains (BXD19 and CXB07). First, a genomic survey using 108 SSLP markers with an average spacing of 15 cM was carried out in a population of 259 (BXD19 x CXB07)F2 animals. The genome-wide survey identified two significant QTL for period of locomotor activity measured by infrared photobeam crossings on mouse chromosomes 1 (lod score 5.66) and 14 (lod score 4.33). The QTL on distal chromosome 1 confirmed a previous report based on congenic B6.D2-Mtv7a/Ty mice. Lod scores greater than 2.0 were found on chromosomes 1, 2, 6, 12, 13, and 14. In a targeted extension study, additional genotyping was performed on these chromosomes in the full sample of 341 F2 progeny. The 6 chromosome-wide surveys identified 3 additional QTL on mouse chromosomes 6, 12, and 13. The QTL on chromosome 12 overlaps with circadian period QTL identified in several prior studies. For wheel-running period, the chromosome-wide surveys identified QTL on chromosomes 2 and 13 and one highly suggestive QTL on proximal chromosome 1. The results are compared to other published studies of QTL of circadian period.     

How replicable are mRNA expression QTL?

Applying quantitative trait analysis methods to genome-wide microarray-derived mRNA expression phenotypes in segregating populations is a valuable tool in the attempt to link high-level traits to their molecular causes. The massive multiple-testing issues involved in analyzing these data make the correct level of confidence to place in mRNA abundance quantitative trait loci (QTL) a difficult problem. We use a unique resource to directly test mRNA abundance QTL replicability in mice: paired recombinant inbred (RI) and F₂ data sets derived from C57BL/6J (B6) and DBA/2J (D2) inbred strains and phenotyped using the same Affymetrix arrays. We have one forebrain and one striatum data set pair. We describe QTL replication at varying stringencies in these data. For instance, 78% of mRNA expression QTL (eQTL) with genome-wide adjusted p ≤ 0.0001 in RI data replicate at a genome-wide adjusted p < 0.05 or better. Replicated QTL are disproportionately putatively cis-acting, and approximately 75% have higher apparent expression levels associated with B6 genotypes, which may be partly due to probe set generation using B6 sequence. Finally, we note that while trans-acting QTL do not replicate well between data sets in general, at least one cluster of trans-acting QTL on distal Chr 1 is notably preserved between data sets.     

Genetic analysis of metabolic defects in the spontaneously hypertensive rat

Abnormalities in carbohydrate and lipid metabolism are common in patients with essential hypertension and in the spontaneously hypertensive rat (SHR). To identify chromosome regions contributing to this clustering of cardiovascular risk factors in the SHR, we searched for quantitative trait loci (QTL) associated with insulin resistance, glucose intolerance, and dyslipidemia by using the HXB/BXH recombinant inbred (RI) strains. Analysis of variance in RI strains suggested significant effects of genetic factors. A genome screening of the RI strains with more than 700 markers revealed QTL significantly associated with insulin resistance on Chromosomes (Chrs) 3 and 19. The Chr 19 QTL was confirmed by testing a previously derived SHR-19 congenic strain: transfer of a Chr 19 segment delineated by markers D19Rat57 and D19Mit7 from the Brown Norway (BN/Cr) strain onto the genetic background of the SHR/Ola was associated with decreased insulin and glucose concentrations and ameliorated insulin resistance at the tissue level. These findings suggest that closely linked genes on Chr 19, or perhaps even a single gene with pleiotropic effects, influence the clustering of metabolic disturbances in the SHR-BN model.     

Gene-Dependent Effect of Lithium on Circadian Rhythms in Mice (Mus Musculus)

Lithium has been shown to lengthen free-running circadian periods in a variety of species. Here we show that lithium carbonate differentially lengthens the free-running period of a circadian wheel running rhythm in BALB/CByJ and C57BL/10Sn inbred mouse strains. This result supports previous evidence that lithium lengthens mammalian circadian rhythms, and also demonstrates that gene differences can mediate individual differences in response to lithium treatment.     

Natural allelic variation identifies new genes in the Arabidopsis circadian system

We have analysed the circadian rhythm of Arabidopsis thaliana leaf movements in the accession Cvi from the Cape Verde Islands, and in the commonly used laboratory strains Columbia (Col) and Landsberg (erecta) (Ler), which originated in Northern Europe. The parental lines have similar rhythmic periods, but the progeny of crosses among them reveal extensive variation for this trait. An analysis of 48 Ler/Cvi recombinant inbred lines (RILs) and a further 30 Ler/Col RILs allowed us to locate four putative quantitative trait loci (QTLs) that control the period of the circadian clock. Near-isogenic lines (NILs) that contain a QTL in a small, defined chromo- somal region allowed us to confirm the phenotypic effect and to map the positions of three period QTLs, designated ESPRESSO, NON TROPPO and RALENTANDO. Quantitative trait loci at the locations of RALENTANDO and of a fourth QTL, ANDANTE, were identified in both Ler/Cvi and Ler/Col RIL populations. Some QTLs for circadian period are closely linked to loci that control flowering time, including FLC. We show that flc mutations shorten the circadian period such that the known allelic variation in the MADS-box gene FLC can account for the ANDANTE QTL. The QTLs ESPRESSO and RALENTANDO identify new genes that regulate the Arabidopsis circadian system in nature, one of which may be the flowering-time gene GIGANTEA.     

Mapping quantitative trait loci using molecular marker linkage maps

Summary High-density restriction fragment length polymorphism (RFLP) and allozyme linkage maps have been developed in several plant species. These maps make it technically feasible to map quantitative trait loci (QTL) using methods based on flanking marker genetic models. In this paper, we describe flanking marker models for doubled haploid (DH), recombinant inbred (RI), backcross (BC), F₁ testcross (F₁TC), DH testcross (DHTC), recombinant inbred testcross (RITC), F₂, and F₃ progeny. These models are functions of the means of quantitative trait locus genotypes and recombination frequencies between marker and quantitative trait loci. In addition to the genetic models, we describe maximum likelihood methods for estimating these parameters using linear, nonlinear, and univariate or multivariate normal distribution mixture models. We defined recombination frequency estimators for backcross and F₂ progeny group genetic models using the parameters of linear models. In addition, we found a genetically unbiased estimator of the QTL heterozygote mean using a linear function of marker means. In nonlinear models, recombination frequencies are estimated less efficiently than the means of quantitative trait locus genotypes. Recombination frequency estimation efficiency decreases as the distance between markers decreases, because the number of progeny in recombinant marker classes decreases. Mean estimation efficiency is nearly equal for these methods.     

A new framework marker-based linkage map and SDPs for the Rat HXB/BXH strain set

A new contiguous genetic linkage map of the HXB/BXH set of rat recombinant inbred (RI) strains was constructed to enhance QTL mapping power and precision, and thereby make the RI strain set a better genomics resource. The HXB/BXH rat RI strains were developed from a cross between the hypertensive SHR/OlaIpcv and normotensive BN-Lx/Cub rat strains and have been shown useful for identifying quantitative trait loci (QTL) for a variety of cardiovascular, metabolic, and behavioral phenotypes. In the current analysis, the DNAs from 31 existing strains, 1 substrain, and 4 extinct strains were genotyped for a selection of polymorphic microsatellite marker loci, predominantly polymorphic framework markers from high-density integrated rat genome maps. The resulting linkage map consists of 245 microsatellite markers spanning a total length of 1789 cM with an average inter-marker distance of ~8.0 cM. This map covers the rat genome contiguously and completely with the exception of two locations on Chromosomes (Chrs) 11 and 16. The new genotypic information obtained also permitted further genetic characterization of the RI strain set including strain independence, genetic similarity among the individual strains, and non-syntenic associations between loci.     

QTL influencing baseline hematocrit in the C57BL/6J and DBA/2J lineage: age-related effects

Baseline serum hematocrit varies substantially in the population. While additive genetic factors account for a large part of this variability, little is known about the genetic architecture underlying the trait. Because hematocrit levels vary with age, it is plausible that quantitative trait loci (QTL) that influence the phenotype also show an age-specific profile. To investigate this possibility, hematocrit was measured in three different age cohorts of mice (150, 450, and 750 days) of the C57BL/6J (B6) and the DBA2/J (D2) lineage. QTL were searched in the B6D2F₂ intercross and the BXD recombinant inbred (RI) strains. The effects of these QTL were explored across the different age groups. On the phenotypic level, baseline serum hematocrit declines with age in a sex-specific manner. In the B6D2F₂ intercross, suggestive QTL that influence the phenotype were located on Chromosomes (Chr) 1, 2, 7, 11, 13, and 16. With the exception of the QTL on Chr 2, all of these QTL exerted their largest effect at 750 days. The QTL on Chr 1, 2, 7, 11 and 16 were confirmed in the BXD RIs in a sex- and age-specific manner. Linkage analysis in the BXD RIs revealed an additional significant QTL on Chr 19. Baseline serum hematocrit is influenced by several QTL that appear to vary with the age and sex of the animal. These QTL primarily overlap with QTL that have been shown to regulate hematopoietic stem cell phenotypes.     

Initial characterization of STS markers in the LSXSS series of recombinant inbred strains

We are mapping quantitative trait loci (QTLs) that influence ethanol-induced anesthesia (sleep time) in the Long-sleep (LS) and Short-sleep (SS) slected lines of mice. Fifty microsatellite-STS markers were initially screened for simple-sequence length polymorphisms between the LS and SS lines. Nineteen markers were polymorphic. Eleven markers unequivocally differentiated the LS and SS lines and were used to establish strain distribution patterns for the LSXSS series of recombinant inbred strains. Five markers each accounted for at least 5% of sleep-time genetic variance among the RI strains. Linkage of provisional QTLs detected among RIs will be confirmed or disproved in a large F₂ population. This ongoing QTL-mapping project eventually will result in a strain distribution pattern for the LSXSS RI series with an average marker spacing of 5 centimorgans.     

Genetic analysis of alcohol intake in recombinant inbred and congenic strains derived from A/J and C57BL/6J progenitors

The objective of the present study was to map quantitative trait loci (QTL) for alcohol intake using A × B/B × A recombinant inbred (RI) and AcB/BcA recombinant congenic (RC) strains of mice that were independently derived from the A/J and C57BL/6J progenitors. Mice were screened for levels of alcohol consumption with four days of forced exposure to alcohol, followed by three weeks of free choice between water and a 10% alcohol solution. Alcohol consumption data previously collected for 27 A × B/B × A RI strains were reanalyzed using a larger marker set and composite interval mapping. The reanalysis found markers on Chromosome 2 (D2Mit74, 107 cM) (males and females) and on Chromosome 11 (Pmv22, 8 cM) (females only) that exceeded the threshold for significant loci, and found suggestive loci (in males) on Chromosomes 10 (D10 Mit126, 21 cM), 12 (D12Mit37, 1 cM), 15 (Pdgfb, 46.8 cM), and 16 (D16Mit125, 29 cM). An additional suggestive locus was identified in female RI mice on Chromosome 11 (D11Mit120, 47.5 cM). Composite interval mapping (CIM) analysis indicated that there was a significant association between loci at Pdgfb and D2Mit74 in both males and females. Analysis of the AcB/BcA RC strains identified 11 QTL on Chromosomes 2, 3, 5,6, 7, 8, 9, 10, 12, 13, and 15. QTL on Chromosomes 7, 10, 12, and 15 were identified in both the A × B/B × A RI and AcB/BcA RC strains of mice. Additional QTLs identified on Chromosomes 2, 3, 7, 11, and 15 overlap with those previously identified in the literature using strains of mice with a C57BL/6J progenitor.     

Genetic determinants of weight of fast- and slow-twitch skeletal muscles in old mice

The main goal of the study was to explore the genetic architecture underlying muscle weight in old mice. Weight of soleus, tibialis anterior (TA), extensor digitorum longus (EDL), and gastrocnemius muscles was measured in the C57BL/6J (B6) and DBA/2J (D2) strains and derivative generations: a panel of the BXD recombinant inbred (RI) strains and a B6D2 F₂ intercross at the age of 800 days. The between-strain difference in muscle weight (B6 > D2) ranged between 16% and 38%. Linkage analysis identified suggestive quantitative trait loci (QTL) on Chromosomes (Chr) 2, 6, 7, 8, 19, and X that influenced muscle weight in the 800-day-old group. Comparison of weights at 200, 500, and 800 days revealed a variable effect of age among the four muscles. Linkage analysis in the B6D2 F₂ population combined across the three different age groups identified muscle-, sex-, and age-specific QTL on Chr 1, 2, 3, 5, 6, 8, 9, 11, 13, 17, X, and Y. Genetic factors that influence the rate of weight change (within-strain weight difference at two ages) over the lifespan of BXD RIs were mapped to the markers D2Mit369 and D3Mit130 at the genome-wide p < 0.05 for TA muscle in males (between 200 and 800 days) and females (between 500 and 800 days), respectively. Analysis of all age groups supported previous findings that the genetic effects may be muscle-, age-, and sex-specific.     

Use of recombinant inbred strains to map genes of aging

Recombinant inbred strains have been used in a number of organisms for segregation and linkage analysis of quantitative traits. One major advantage of the recombinant inbred (RI) methodology is that the genetic identity of individuals within a strain permits replicate measures of the same recombinant genotype. Such replicability is important for traits such as aging inDrosophila, where phenotypic expression is highly influenced by different environmental conditions. RI strain methodology has an added advantage for DNA marker-based linkage analysis of traits measured over the lifespan of the organism. The DNA can be extracted from individuals of the same genotype as those measured in a longevity study. In this paper an argument is presented for the use of a set of recombinant inbred strains to map the quantitative trait loci involved in the aging process inDrosophila. A unique use of a set of stable, transposable moleular markers to trace the quantitative trait loci involved is suggested.     

Quantitative trait locus analysis using recombinant inbred intercrosses: theoretical and empirical considerations

We describe a new approach, called recombinant inbred intercross (RIX) mapping, that extends the power of recombinant inbred (RI) lines to provide sensitive detection of quantitative trait loci (QTL) responsible for complex genetic and nongenetic interactions. RIXs are generated by producing F1 hybrids between all or a subset of parental RI lines. By dramatically extending the number of unique, reproducible genomes, RIXs share some of the best properties of both the parental RI and F2 mapping panels. These attributes make the RIX method ideally suited for experiments requiring analysis of multiple parameters, under different environmental conditions and/or temporal sampling. However, since any pair of RIX genomes shares either one or no parental RIs, this cross introduces an unusual population structure requiring special computational approaches for analysis. Herein, we propose an efficient statistical procedure for QTL mapping with RIXs and describe a novel empirical permutation procedure to assess genome-wide significance. This procedure will also be applicable to diallel crosses. Extensive simulations using strain distribution patterns from CXB, AXB/BXA, and BXD mouse RI lines show the theoretical power of the RIX approach and the analysis of CXB RIXs demonstrates the limitations of this procedure when using small RI panels.     

Synchronizing allelic effects of opposing quantitative trait loci confirmed a major epistatic interaction affecting acute lung injury survival in mice

Increased oxygen (O(2)) levels help manage severely injured patients, but too much for too long can cause acute lung injury (ALI), acute respiratory distress syndrome (ARDS) and even death. In fact, continuous hyperoxia has become a prototype in rodents to mimic salient clinical and pathological characteristics of ALI/ARDS. To identify genes affecting hyperoxia-induced ALI (HALI), we previously established a mouse model of differential susceptibility. Genetic analysis of backcross and F(2) populations derived from sensitive (C57BL/6J; B) and resistant (129X1/SvJ; X1) inbred strains identified five quantitative trait loci (QTLs; Shali1-5) linked to HALI survival time. Interestingly, analysis of these recombinant populations supported opposite within-strain effects on survival for the two major-effect QTLs. Whereas Shali1 alleles imparted the expected survival time effects (i.e., X1 alleles increased HALI resistance and B alleles increased sensitivity), the allelic effects of Shali2 were reversed (i.e., X1 alleles increased HALI sensitivity and B alleles increased resistance). For in vivo validation of these inverse allelic effects, we constructed reciprocal congenic lines to synchronize the sensitivity or resistance alleles of Shali1 and Shali2 within the same strain. Specifically, B-derived Shali1 or Shali2 QTL regions were transferred to X1 mice and X1-derived QTL segments were transferred to B mice. Our previous QTL results predicted that substituting Shali1 B alleles onto the resistant X1 background would add sensitivity. Surprisingly, not only were these mice more sensitive than the resistant X1 strain, they were more sensitive than the sensitive B strain. In stark contrast, substituting the Shali2 interval from the sensitive B strain onto the X1 background markedly increased the survival time. Reciprocal congenic lines confirmed the opposing allelic effects of Shali1 and Shali2 on HALI survival time and provide unique models to identify their respective quantitative trait genes and to critically assess the apparent bidirectional epistatic interactions between these major-effect loci.     

The Nxsm Recombinant Inbred Strains of Mice: Genetic Profile for 58 Loci Including the Mtv Proviral Loci

We report the construction of 17 recombinant inbred (RI) strains of mice derived from the progenitor strains NZB/BINRe and SM/J and the typing of this RI strain set, designated NXSM, for 58 loci distributed on 16 autosomes and the X chromosome. Two backcrosses involving NZB/BINJ and SM/J were constructed to confirm chromosomal assignments and determine gene orders suggested from NXSM RI strain data. From these results we recommend that chromosomal assignments and gene orders suggested from analyses of RI strain sets be confirmed using data obtained by other means. We also typed NZB/BINJ and SM/J for mammary tumor proviral (Mtv) loci. Both strains share three previously described Mtv loci: Mtv-7, Mtv-14 and Mtv-17. In addition, NZB/BINJ contains the previously described Mtv-3 and Mtv-9 loci and two new Mtv proviral loci: Mtv-27 located on chromosome (Chr) 1 and Mtv-28 located on the X chromosome. SM/J contains the previously described loci Mtv-6 and Mtv-8. Four LTR, mink cell focus-forming murine leukemia viral loci were identified and mapped: Ltrm-1 on Chr 12, Ltrm-2 on Chr 16, Ltrm-3 on Chr 5, and Ltrm-4 on Chr 13. The Tgn locus was positioned proximal to the Ly-6 locus on Chr 15.     

Localization to chromosome 10 of a locus influencing morphine analgesia in crosses derived from C57BL/ and DBA/2 strains

A quantitative trait locus (QTL) was detected and mapped to proximal chromosome 10 near the markers Mpmv5 and D10Mit51 with a strong influence on morphine-induced analgesia in the BXD recombinant inbred (Rl) strains and in an F₂ cross (B6D2F2) between the BXD progenitor strains, C57BL/6 and DBA/2. A LOD score of 3.9 (p <. 00002) was seen for analgesia using the hot plate assay. Naloxone Bmax was also associated with this chromosome region in BXD RI mice. The mu opioid receptor gene (Oprm) has recently been mapped to this same chromosome region. The observation that several morphine-related traits and naloxone Bmax appear to be partly determined by this presumed single locus is consistent with the hypothesis that the mu opioid receptor gene, or one of its modulators, is the basis for the QTL.     

Natural allelic variation in the temperature-compensation mechanisms of the Arabidopsis thaliana circadian clock

Temperature compensation is a defining feature of circadian oscillators, yet no components contributing to the phenomenon have been identified in plants. We tested 27 accessions of Arabidopsis thaliana for circadian leaf movement at a range of constant temperatures. The accessions showed varying patterns of temperature compensation, but no clear associations to the geographic origin of the accessions could be made. Quantitative trait loci (QTL) were mapped for period and amplitude of leaf movement in the Columbia by Landsberg erecta (CoL) and Cape Verde Islands by Landsberg erecta (CvL) recombinant inbred lines (RILs) at 12 degrees , 22 degrees , and 27 degrees . Six CvL and three CoL QTL were located for circadian period. All of the period QTL were temperature specific, suggesting that they may be involved in temperature compensation. The flowering-time gene GIGANTEA and F-box protein ZEITLUPE were identified as strong candidates for two of the QTL on the basis of mapping in near isogenic lines (NILs) and sequence comparison. The identity of these and other candidates suggests that temperature compensation is not wholly determined by the intrinsic properties of the central clock proteins in Arabidopsis, but rather by other genes that act in trans to alter the regulation of these core proteins.