| Literature DB >> 24260110 |
Enrique García-Muñoz1, Catarina Rato, Fátima Jorge, Miguel A Carretero.
Abstract
At the individual level, to be behaviourally lateralized avoids costly duplication of neural circuitry and decreases possible contradictory order from the two brain hemispheres. However, being prey behaviour lateralized at higher hierarchical levels could generate different negative implications, especially if predators are able to make predictions after multiple encounters. These conflicting pressures, namely between the advantages for individuals and the disadvantages for populations could be concealed if higher-level lateralization would arise from the combination of lateralized behaviours of individuals which are mutually dependent. Here, we investigated the lateralization patterns in the escape behaviour of the gecko Tarentola angustimentalis undergoing a predatory attack simulation in a "T" maze experiment. Results showed that gecko populations displayed different degrees of lateralization, with an overall dominance of right-biased individuals. This trend is similar to that observed in the Podarcis wall lizards, which share predators with Tarentola. In addition, different morphological parameters plausible to affect refuge selection were explored in order to link directional asymmetries at morphological level with lateralization during refuge selection.Entities:
Mesh:
Year: 2013 PMID: 24260110 PMCID: PMC3833976 DOI: 10.1371/journal.pone.0078329
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Schematic design of the experimental “T” maze used in the escape behaviour test (modified from García-Muñoz et al. 2012).
Grey square represents the position of the video camera.
Results of log-linear analysis to detect interactions between 1) Population (5: Butihondo, La Oliva, Caleta de Famara, Nazaret-Teguise and Yaiza), 2) Tail state (Tail, 2: original or regenerated), 3) Trial (5 trials per individual), and 4) Refuge Side (3: Left, Neutral, Right).
| Partial association | Marginal Association | ||||
| df | Chi-square |
| Chi-square |
| |
|
| 4 | <0.0001 | 1.000 | <0.0001 | 1.000 |
|
| 1 | 11.141 |
| 11.141 |
|
|
| 4 | <0.0001 | 1.000 | <0.0001 | 1.000 |
|
| 2 | 35.000 |
| 35.000 |
|
|
| 4 | 18.843 |
| 17.630 |
|
|
| 16 | 0.238 | 1.000 | <0.0001 | 1.000 |
|
| 8 | 20.310 |
| 18.872 |
|
|
| 4 | 0.024 | 1.000 | <0.0001 | 1.000 |
|
| 2 | 1.836 | 0.399 | 0.613 | 0.736 |
|
| 8 | 7.414 | 0.493 | 7.166 | 0.519 |
|
| 16 | 0.863 | 1.000 | <0.0001 | 1.000 |
|
| 8 | 12.498 | 0.130 | 12.432 | 0.133 |
|
| 32 | 16.248 | 0.991 | 18.116 | 0.977 |
|
| 8 | 7.235 | 0.512 | 8.819 | 0.358 |
Model: Population*Side; Chi-square135 = 89.097, p = 0.999. (p values lower than 0.05 are marked in bold).
Number of lateralized (L: Left; R: Right) and non lateralized (N: Neutral) individuals found in each population.
| L | N | R | LI | Left % | Right % |
| |
|
| 1 | 6 | 3 | 0.2 | 28% | 72% |
|
|
| 0 | 5 | 5 | 0.5 | 13% | 87% |
|
|
| 0 | 4 | 6 | 0.6 | 8% | 92% |
|
|
| 0 | 9 | 1 | 0.1 | 41% | 59% | >0.05 |
|
| 1 | 7 | 2 | 0.1 | 10% | 90% |
|
|
| 2 | 31 | 17 | 0.3 | 22% | 78% |
|
Lateralization Index (LI) = (right runs−left runs)/(right runs+neutral runs+left runs). Left% and Right% represent the percentage of times that all the lateralized individuals (left and right) chose the left or right refuge. Fisher exact test P two-tailed was used only with lateralized individuals, in order to test if left- and right- lateralized individual were equally common at population or species level (see also Figure 2).
Figure 2Frequency plots showing the number of observations of each value plotted on the X axis.
The X axis is the Lateralization Index (LI) for each individual, where LI = (right−left)/(right+neutral+left). Fisher exact test p two-tailed was used in order to test the null hypothesis: no refuge preference (see also Table 2).
Results of General Linear Model (GLM) that analyzes the effects of Tail state (Tail; original vs regenerated) and Population (5, Butihondo, La Oliva, Caleta Famara, Nazaret-Teguise, Yaiza) on laterality index, LI = (right run−Left run)/(right+left run).
| df | F | p | |
|
| 1 | 28.911 | 0.000 |
|
| 4 | 3.318 | 0.019 |
|
| 1 | 2.130 | 0.152 |
|
| 4 | 4.227 | 0.006 |
|
| 40 |
Figure 3Laterality index showed in the five population studied, classified in function of the tail state (original vs regenerated).
T-test for dependent samples in all the morphological character studied (arm vertical length, AVL; arms horizontal length, AHL; forelimb length, FLL; eye diameter, ED).
| AVL | AHL | FLL | ED | |
|
| (2.46±0.45; 2.30±0.35) R = L | (2.94±0.37;2.85±0.53) R = L | (21.27±1.77;21.26±1.91) R = L | (3.45±0.36;4.10±0.32) R = L |
| ns | ns | ns | ns | |
|
| (3.60±0.91;3.69±0.40) R = L | (4.33±0.65;4.24±0.65) R = L | (27.47±2.56;28.47±2.62) R<L | (4.66±0.29;4.49±0.21) R = L |
| ns | ns | (t = 3,189; p<0.01) | ns | |
|
| (3.07±0.52;3.09 ±0.61) R = L | (3.72±0.42;3.60±0.71) R = L | 26.18±2.63;27.52±2.36) R<L | (4.61±0.22;4.73±0.16) R = L |
| ns | ns | (t = 3,502; p<0.001) | ns | |
|
| (3.42±0.40;3.79±0.42) R<L | (4.08±0.34;4.24±0.39) R = L | (26.27±2.16;27.22±2.13) R<L | (4.67±0.36±4.62±0.43) R = L |
| (t = 2,632; p<0,05) | ns | (t = 7,655; p<0.001) | ns | |
|
| (2.96±0.49;3.24±0.50) R = L | (3.80±0.69;3.88±0.47) R = L | (24.47±3.54;25.25±3.21) R<L | (4.45±0.33;4.66±0.41) R<L |
| ns | ns | (t = 2,472; p<0.05) | (t = 2,732;p<0.05) | |
|
| (3.11±0.62;3.24±0.69) R = L | (3.79±0.68;3.78±0.74) R = L | (25.21±3.12;26.14±3.50) R<L | (4.48±0.41;4.53±0.36) R = L |
| ns | ns | (t = 5,679; p<0.001) | ns |
The null hypothesis (R = L; p>0.05) was rejected at p-values lower than 0.5. In addition the mean value (right length±sd; left length ±sd) and the relation between right and left side are shown.