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Analysis of Quantitative Trait Loci for Behavioral Laterality in Mice
Pierre L. Roubertoux1,a, Isabelle Le Roy1,b, Sylvie Tordjmanc, Améziane Cherfoub, and Danièle Migliore-Samourba Centre National de la Recherche Scientifique, Institut de Neurosciences Physiologiques et Cognitives, INPC.CNRS, 13402 Marseille Cedex 20, France,
b Centre National de la Recherche Scientifique, Institut de Transgénose, 45071 Orléans Cedex 2, France
c Centre National de la Recherche Scientifique and Université Paris VI, Vulnérabilité, Adaptation et Psychopathologie, 75013, Paris, France
Corresponding author: Pierre L. Roubertoux, INPC.CNRS, 31 Chemin Joseph-Aiguier, 13402 Marseille Cedex 20, France., rouber{at}lnf.cnrs-mrs.fr (E-mail)
Communicating editor: J. B. WALSH
| ABSTRACT |
|---|
Laterality is believed to have genetic components, as has been deduced from family studies in humans and responses to artificial selection in mice, but these genetic components are unknown and the underlying physiological mechanisms are still a subject of dispute. We measured direction of laterality (preferential use of left or right paws) and degree of laterality (absolute difference between the use of left and right paws) in C57BL/6ByJ (B) and NZB/BlNJ (N) mice and in their F1 and F2 intercrosses. Measurements were taken of both forepaws and hind paws. Quantitative trait loci (QTL) did not emerge for direction but did for degree of laterality. One QTL for forepaw (LOD score = 5.6) and the second QTL for hind paw (LOD score = 7.2) were both located on chromosome 4 and their peaks were within the same confidence interval. A QTL for plasma luteinizing hormone concentration was also found in the confidence interval of these two QTL. These results suggest that the physiological mechanisms underlying degree of laterality react to gonadal steroids.
TWENTY-SEVEN years ago, ![]()
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- All the authors referred to one of the two definitions of laterality. Most studies considered "direction" (the preferred left or right hand;
FRANCKS et al. 2002 ) while others chose "relative hand skill" (deviation from the use of the right hand;
LAVAL et al. 1998 ), and yet others referred to both direction and "degree" (absolute difference between the use of left and right hands;
CARLIER et al. 1996 ).
- Methods for measuring laterality differed from one study to another, but poor correlation in different laterality tests suggested that these tests measured different abilities (
RIGAL 1992 ;
DOYEN and CARLIER 2002 ), which correlated to different neuronal substrates that could involve different genes.
- Depending on the acceptance in families of the use of the left hand, pressure in raising children may have produced a differential bias between individuals (
CARLIER 1995 ).
High conservation of brain and motor asymmetries across species (![]()
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Three hypotheses have attempted to explain individual differences in laterality. All three consider that an overdeveloped hemisphere of the brain means preferential use of the contralateral limbs (![]()
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The first hypothesis sees brain asymmetry and consequent behavioral laterality as a specific case of visceral asymmetries, emerging as an output of genes implicated in the left-right body axis development in the embryo (![]()
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The second hypothesis concerning dopamine involvement in motor behavior suggests the existence of dopaminergic asymmetries in the brain (![]()
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The third hypothesis suggests gonadal steroid involvement in laterality. In their pioneering article, ![]()
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In mice, differences in direction could be the result of randomly distributed environmental events; two arguments support this hypothesis. First, intrastrain differences for direction cannot be attributed to residual genetic variation (![]()
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This study reports the results of a wide genome scan for both direction and degree of laterality. Mice were successively subjected to two different tests of laterality to see whether the putative QTL were task dependent. We addressed the possibility of genes having an effect on left-right body axis development and the dopaminergic system. We therefore investigated chromosomal regions encompassing situs invs., nodal, lefty, and pitx2 as well as genes involved in the dopaminergic system. The gonadal hormone pathway was also examined. As direction and degree of laterality were reported in this study in both male and female mice, we selected plasma-luteinizing hormone concentration (PLHC), which is a common trigger for both male and female gonadotropic hormones.
| MATERIALS AND METHODS |
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Measuring laterality:
Laterality was measured with two independent tests, one for forepaw and the other for hind paw. We recorded the preferential use of right or left forepaw in a food-reaching task and the number of right or left hind paw slips during a bar-crossing test. Each mouse was subjected to the two measures, the interval between the two tests being between 17 and 33 days.
Laterality for forepaws was assessed according to ![]()
5:30 p.m. and tested 17 ± 2 hr later. Each mouse was placed in a chamber (10.5 x 6 x 6 cm), where its usual food was available in a tube located on the front wall at half height equally accessible from both the right and the left. The mouse could obtain the food by introducing only one of its forepaws into the tube. Each testing session consisted of observing 50 reaches and recording the sequence of paws used. Two values were calculated, "direction" and "degree." The number of right paw entries (RPE) during a session indicates the direction of laterality: the higher the score, the more right pawed the mouse. The degree of laterality was the absolute difference between the number of right paw entries and the number of left paw entries (LPE). The mice with the highest IRPE-LPEI were the most lateralized either to the right or to the left. Individual scores were transformed into logit (ln|RPE - LPE|) (![]()
Laterality of the hind paw was measured using a bar-crossing test (![]()
We estimated the reliability of both direction and degree for the two tests. The reliabilities were estimated by split-half coefficients (rtt), the split-half value being calculated as

where rhh was the correlation between the half-tests (![]()
Plasma luteinizing hormone concentration:
Mice were killed at 145 ± 5 days of age by cervical dislocation. PLHC was assayed by antibody radioimmunoassay. Blood was centrifuged and plasma frozen at -20° until assayed for PLHC. Because of homology between mouse and rat LH, the rat luteinizing hormone (rLH) [125] assay system is used usually (![]()
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Animals:
Identified breeders from B6 and N mice were purchased from the Jackson Laboratory (Bar Harbor, Maine) respectively at generations 190 and 156 of a brother x sister mating breeding protocol. Brother x sister mating was continued in the animal facility for another 4 generations before starting the experiment. The mice were maintained under standard rearing conditions: temperature, 23.5° ± 0.5°; photoperiod, 12/12 hr with lights on at 7:30 a.m.; food and water were available ad libitum; bedding, dust-free sawdust. Any females obviously close to parturition were isolated. Because the first litter from N mothers often dies, the first litter was discarded and the second litter was used for the experiment. Litters with only five to seven pups were chosen to reduce possible postnatal effects due to litter size. Litters of less than five were discarded and those with more than seven were culled to seven. There were no adoptions. Weaning took place at 28 ± 2 days of age. Females were housed in groups of four with same-sex littermates or females from NMRI H strain; males were housed alone with an NMRI female. The mice were tested between 110 and 130 days of age.
On the basis of a preliminary experiment with parental B6 and N strains and their reciprocal F1's showing no dominance in laterality measurements, an intercross design strategy was chosen for wide genome scanning using 33 B6, 31 N, 23 NB6F1's and 25 B6NF1's. Another 48 F1 pairs were used to produce the 283 F2 mice (68 NB6 x NB6F2's, 74 NB6 x B6NF2's, 71 B6N x NB6F2's, and 70 B6N x B6NF2's).
Statistics and QTL analysis:
Examination of variances in the nonsegregating generations showed heterogeneity, requiring raw data transformation. We selected logit for the forepaw and log 10 for both hind paw and PLHC, on the basis of a nonsignificant
2 value with the Bartlett test. The transformed values from parental strains, reciprocal F1's, and F2's were used to compute heritability and to estimate the components of the mean differences in laterality and PLHC.
Heritability in the broad sense was estimated as

where

MATHER and JINKS's (1971) procedure was used for components of mean differences. Parameters were estimated and models fitting observed data were selected using Cavalli's least-squares fitting procedure. Several models fit observed values and we selected one model using the complementary method developed by ![]()
2 value indicates the best fit. Because of the number of generations, including reciprocal crosses in F1 and F2, seven parameters could be estimated: [m] mean, [d] additivity, [h] dominance, [i] interaction between homozygous loci, [j] interaction between homozygous and heterozygous loci, [l] interaction between heterozygous loci, and [cm] contribution of the mother.
Before performing the genome scan, we examined the number of segregating units, to establish whether one or more were associated with measures of laterality and PLHC. We used Collins's general nonparametric method for genetic analysis (![]()
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For each variable, the phenotype dimension was divided into five equal classes and the values for the phenotype dimension were reassigned to these classes. Theoretical and observed values were compared with a
2 for accuracy of fit.
Genotyping was performed individually with the DNA from the 283 F2's mice using 67 single sequence length polymorphisms (SSLPs) as markers (average interval length, 22.5 cM) on the 20 chromosomes. At this stage, we used the chromosomal locations of the SSLPs reported in the consensus map provided by the MOUSE GENOME DATABASE (2002). Significant differences (P < 0.05 threshold) between the three genotypes N//N, N//B6, and B6//B6 were assessed. We used the Kruskal-Wallis test as the transformations providing homoscedasticity in the parental and F1 populations did not necessarily produce normality in the distributions associated with the three genotypes in the F2's. In the second stage, when differences between the three genotypes were found with an SSLP, we selected other SSLPs on the chromosomal region displaying significant differences among the three genotypes. All the F2 mice were individually genotyped for these additional SSLPs. The third stage produced a new SSLP map for the region based on distances found in the F2's. For this purpose, we anchored the most centromeric SSLP and computed the distances across the SSLPs. This new SSLP map, which was specific to our segregating population, was used then for likelihood ratios and LOD score computations. We estimated these values with the interval-mapping method (MapQTL-tm-version 3.0; ![]()
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Genotyping:
DNA was extracted from tails and stored at -80°. Genotyping was performed using SSLP that differed by at least 15 bases. Preparation of PCR was done with Beckmann 2000 and adapted for the robot and for each set of primers from general protocols. We used 3 pmol of each primer (Genetic Research, Alabama); 2.5 units of Taq polymerase and buffer, adjusted to 1 mM Mg2+ (Promega, Madison, WI); 200 ng of genomic DNA; and 0.2 mM of each dNTP in a total volume of 30 µl. Amplification included initial denaturation (94° for 3 min), and then 94° at 30 sec per cycle, annealing (1 min 15 sec from 42° to 55° according to the primers), extension (1 min 15 sec at 72°), and final extension (3 min). Electrophoresis was performed on an agarose gel. Each migration included DNA from N, B6, and F2 and a molecular weight marker to determine the size of the alleles. Allele sizes were identified blind and independently by the first two authors with Transilluminator, the UVP PMW 20 computer system (4.5x magnification). Any discordant observation was followed by a second amplification.
| RESULTS |
|---|
The respective reliabilities with forepaw and hind paw were 0.97 and 0.95 for direction and 0.94 and 0.93 for degree. The reliability for preferential food reaching with forepaws was similar to those previously published on degree (0.92, ![]()
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Components of mean differences:
The N and B6 mice did not differ for direction of laterality assessed either by preferential food reaching with the right forepaw or by the number of slips with the right hind paw during the bar-crossing test (data not shown), but did differ for the two corresponding indices of degree of laterality (Table 1). N strain mice were more ambidextrous (smaller absolute difference between right and left) than B6 for forepaw and hind paw and had a higher PLHC. Males and females were pooled for subsequent analyses as males and females did not differ for measurements of either laterality or PLHC.
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F1 values did not differ from midparent values for the two measures of degree of laterality and for PLHC (Table 1), suggesting that dominance did not contribute to these three phenotypes. This was confirmed by the analysis of the components of the mean differences. No model was able to fit for direction of laterality, but one model with additivity ([d] parameter) was the best fit for degree of laterality measured with the forepaw (
2 = 0.903, P < 0.52, [d] 0.39 ± 0.061) and hind paw (
2 = 0.527, P < 0.46, [d] 0.13 ± 0.06). The best-fitting model for PLHC was always additive (
2 = 0.712, P < 0.49, [d] 0.53 ± 0.074). With Collins's general nonparametric method, the one-segregating-unit model was not rejected for the two measurements of degree of laterality (
2 = 0.923, P < 0.63 for forepaw and
2 = 0.5184, P < 0.91 for hind paw), but was rejected for PLHC (
2 = 9.126, P < 0.010).
In F2, measures of degree of laterality with forepaw and hind paw were correlated (Bravais-Pearson product moment correlation; r = 0.31, P < 0.0005). Plasma luteinizing hormone levels correlated with degree of laterality for both forepaw (r = 0.35, P < 0.0001) and hind paw (r = 0.39, P < 0.0001).
QTL mapping:
The first genome scan was performed on the whole F2 population with 67 SSLPs as markers covering all chromosomes. No significant differences between the three possible genotypes appeared for direction measured with either forepaw or hind paw. The degree of laterality was associated with SSLPs on chromosome 4: D4Mit205a (P < 0.0005) and D4Mit12 (P < 0.001) for forepaw and D4Mit205a (P < 0.00001) and D4Mit12 (P < 0.0002) for hind paw, suggesting an involvement of the central part of chromosome 4 in the two measurements. A total of 8 new SSLPs were therefore added onto this chromosome. The chromosomal positions of the 12 SSLPs were computed again for the F2 population as described above and these positions were used for the final mapping with the MapQTL package (![]()
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QTL mapping was performed for PLHC on chromosome 4 with the 12 SSLPs used for degree of laterality (Fig 1). We found a significant QTL with a LOD score of 4.4 at 48.8 cM from the centromere (MapQTL-tm-version 3.0) that became 3.7 with the QTL Cartographer, the corresponding distance being 44.3 cM. This QTL was included in the confidence intervals of each of the two QTL linked to degree of laterality. The lowest values for the two measurements of degree of laterality and the highest value for PLHC were linked to N genotypes (Table 2).
| DISCUSSION |
|---|
The lack of difference between N and B6 strains for direction measured with either the forepaw or the hind paw was not due to large sample errors as the two measurements had high reliability. In contrast, the difference between the two strains for degree was significant. The difference between their mean indexes was equivalent to the maximum difference between the 12 strains tested for this value (![]()
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For degree, each QTL contributed to part of the total variance, which approximated the respective heritabilities estimated in the measurements (30 vs. 28.9% for forepaw and 26.8 vs. 33% for hind paw). This point suggested that only a major QTL contributed to degree of laterality for each measurement in the population derived from B6 and N. This QTL might encompass several genes. Collins's general nonparametric method, which did not lead to rejection of the one-segregating-unit model for either of the two measurements of degree, did not support this last possibility in our data. As a consequence of finding exclusively an additive genetic component, we note that the nonsignificant effect of the "contribution of the mother" component tallies with previously published data showing that mitochondrial DNA did not contribute to degree of laterality measured for forepaw and hind paw (![]()
The measurements of degree of laterality recorded in the two tests were linked to the same chromosomal region. This suggests a linkage between the QTL that we discovered on the central part of chromosome 4 and a common physiological mechanism.
The three hypothetical mechanisms presented above as possibly involved in brain and behavioral laterality were tested. Our results led us to eliminate the implication of genes linked with left-right body axis development. Chromosome 4, where we detected the QTL for degree of laterality, did not include situs invs., nodal, lefty, and pitx2. Moreover, careful anatomical examination conducted according to previously defined protocols (![]()
Much indirect evidence was compatible with the gonadal steroid hypothesis. An excess of perinatal testosterone favors left-handedness in Mongolian gerbils, among other species (![]()
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The close linkage between degree of laterality and PLHC with Lepr is currently being examined by fine-mapping strategies using advanced intercrossed lines (![]()
| FOOTNOTES |
|---|
1 These authors contributed equally to this work. ![]()
| ACKNOWLEDGMENTS |
|---|
We thank Michèle Carlier and Anne-Lise Doyen for their discussions and Robert Brush for his helpful comments on the manuscript. This study was supported by the Centre National de la Recherche Scientifique, the Ministry for Research and Technology, and the Fondation pour la Recherche Médicale.
Manuscript received June 21, 2002; Accepted for publication November 20, 2002.
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