Quantitative trait loci that influence the expression of guarding and stinging behaviors of individual honey bees

This study was conducted to test for the effect of three stinging behaviors QTLs (sting-1, sting-2 and sting-3) on the expression of guarding and stinging behavior of individual honey bees, and to determine if results of defensive behavior QTLs found in studies with Africanized honey bees could be extended to other populations of bees. Samples of guards, stingers, foragers and nurse bees were taken from two backcross colonies derived from a defensive colony and a gentle colony. The genotype of each bee for both types of colonies was determined for two sequence tagged site (STS) markers linked to sting-1 and for another two STSs, one linked to sting-2 and one linked to sting-3. Results showed that sting-1 had an effect on the expression of both stinging and guarding behaviors, sting-2 and sting-3 influenced the expression of guarding behavior. These results indicate that division of labor is influenced by specific QTLs. Results also show that QTLs mapped in a population of Africanized honey bees using colony level phenotypes also influenced the expression of guarding and stinging behavior of individual bees of other populations.     

Confirmation of QTL effects and evidence of genetic dominance of honeybee defensive behavior: results of colony and individual behavioral assays

The stinging and guarding components of the defensive behavior of European, Africanized, hybrid, and backcross honeybees (Apis mellifera L.) were compared and analyzed at both colony and individual levels. Hybrid and Africanized backcross colonies stung as many times as Africanized ones. European backcross colonies stung more than European bees but not as many times as Africanized or Africanized backcross colonies. The degree of dominance for the number of times that worker bees stung a leather patch was estimated to be 84.3%, 200.8%, and 145.8% for hybrid, backcross European, and backcross Africanized colonies, respectively. Additionally, both guards at the colony entrance and fast-stinging workers of one European backcross colony had a significantly higher frequency of an Africanized DNA marker allele, located near sting1, a QTL previously implicated in stinging behavior at the colony level. However, guards and fast-stinging bees from a backcross to the Africanized parental colony did not differ from control bees in their frequency for the Africanized and European markers, as would be expected if large genetic dominance effects for sting1 exist. These results support the hypothesis that genetic dominance influences the defensive behavior of honeybees and confirm the effect of sting1 on the defensiveness of individual worker bees.     

Genotype,Task Specialization,and Nest Environment Influence the Stinging Response Thresholds of Individual Africanized and European Honeybees to Electrical Stimulation

This study was conducted to analyze the stinging response thresholds of individual European and Africanized worker honeybees (Apis mellifera L.) to electrical stimulation. Newly emerged workers were identified, and either were placed into an incubator, into their natal colonies, or cross-fostered in common colonies of European or Africanized ancestry. Nest and guard bees of each type were collected and exposed to an electric stimulus of 0.5 mA, and the time they took to sting a leather substrate was recorded. Africanized bees consistently had significant lower thresholds of defensive response than European bees across all of the environments tested. Guards were faster to sting than nest bees only for the Africanized genotype, suggesting that alleles of African origin have pleiotropic effects on guarding and stinging. This is the first study that shows that single individuals specialized in guarding also may have a lower response threshold for stinging. Environmental effects were also evident. In all cases, bees responded faster to the electrical stimulation after being kept in environments other than their natal nest. Moreover, significant genotype by environment and genotype by task specialization interactions were found. Our results fit a model of division of labor based on differences in response thresholds to stimuli among workers of different genotypes and task groups that result in non-additive effects on colony behavior. Edited by Yong-Kyu Kim.     

The behavioral genetics of colony defense in honeybees: Genetic variability for guarding behavior

Guard honeybees stand at the entrance of colonies and facilitate the exclusion of nonnestmates from the colony. In this study, we examined the hypothesis that genetic variability among individuals in colonies might explain variability in guarding activity. To do this, we cross-fostered honey bees between colonies with high-defensive responses and colonies with low-defensive responses in alarm pheromone tests. Individuals from high-defensive colonies were more likely to guard in their own colonies (controls) than cross-fostered bees from low-defensive colonies. Cross-fostered high-defensive bees also were more likely to guard in low-defense colonies. These results support the hypothesis that interindividual differences in guarding behavior are at least partially under genetic control. A positive correlation between number of guards and response to alarm pheromone demonstrates a link between behaviorally separated components of the overall defensive response.This work was supported by NSF Grant BNS 8605604.     

Identification of Quantitative Trait Loci and Candidate Genes Influencing Ethanol Sensitivity in Honey Bees

Invertebrate models have greatly furthered our understanding of ethanol sensitivity and alcohol addiction. The honey bee (Apis mellifera), a widely used behavioral model, is valuable for comparative studies. A quantitative trait locus (QTL) mapping experiment was designed to identify QTL and genes influencing ethanol vapor sensitivity. A backcross mating between ethanol-sensitive and resistant lines resulted in worker offspring that were tested for sensitivity to the sedative effects of alcohol. A linkage map was constructed with over 500 amplified fragment length polymorphism (AFLP) and sequence-tagged site (STS) markers. Four QTL were identified from three linkage groups with log of odds ratio (LOD) scores of 2.28, 2.26, 2.23, and 2.02. DNA from markers within and near QTL were cloned and sequenced, and this data was utilized to integrate our map with the physical honey bee genome. Many candidate genes were identified that influence synaptic transmission, neuronal growth, and detoxification. Others affect lipid synthesis, apoptosis, alcohol metabolism, cAMP signaling, and electron transport. These results are relevant because they present the first search for QTL that affect resistance to acute ethanol exposure in an invertebrate, could be useful for comparative genomic purposes, and lend credence to the use of honey bees as biomedical models of alcohol metabolism and sensitivity. Edited by Yong-Kyu Kim.     

Using advanced intercross lines for high-resolution mapping of HDL cholesterol quantitative trait loci

Mapping quantitative trait loci (QTLs) with high resolution facilitates identification and positional cloning of the underlying genes. The novel approach of advanced intercross lines (AILs) generates many more recombination events and thus can potentially narrow QTLs significantly more than do conventional backcrosses and F2 intercrosses. In this study, we carried out QTL analyses in (C57BL/6J x NZB/BlNJ) x C57BL/6J backcross progeny fed either chow or an atherogenic diet to detect QTLs that regulate high-density lipoprotein cholesterol (HDL)concentrations, and in (C57BL/6J x NZB/BlNJ) F11 AIL progeny to confirm and narrow those QTLs. QTLs for HDL concentrations were found on chromosomes 1, 5, and 16. AIL not only narrowed the QTLs significantly more than did a conventional backcross but also resolved a chromosome 5 QTL identified in the backcross into two QTLs, the peaks of both being outside the backcross QTL region. We tested 27 candidate genes and found significant mRNA expression differences for 12 (Nr1i3, Apoa2, Sap, Tgfb2, Fgfbp1, Prom, Ppargc1, Tcf1, Ncor2, Srb1, App, and Ifnar). Some of these underlay the same QTL, indicating that expression differences are common and not sufficient to identify QTL genes. All the major HDL QTLs in our study had homologous counterparts in humans, implying that their underlying genes regulate HDL in humans.     

The complexity in hunting for candidate genes within QTL that determine susceptibility to arthritis in rats

Quantitative trait loci (QTL) often span large genomic regions that contain from dozens to hundreds of genes. Over the last decade, a large number of QTL that regulate arthritis have been identified using rodent models of inflammatory arthritis. To examine the relationship between genes in those QTL and arthritis, we conducted a literature search using the key words arthritis and QTL in PubMed for publications up to January 2007 and obtained 60 QTL identified from experimental arthritis in rats. We then ascertained the identity of genes within those QTL regions based on data from the Ensembl database. We found a potential total of 17,012 genes within 60 arthritis QTL covering 1,607,804,390 base pairs of genomic sequences. The potential of every gene to be involved in arthritis was evaluated using all available reports from Online Mendelian Inheritance in Man (OMIM) and PubMed. On the basis of this analysis, 162 genes were identified as candidate genes of arthritis QTL. Importantly, associations between polymorphisms of some of these candidate genes and human arthritis have been reported in previous studies. These data suggest that the relationship between the candidate genes that we identified and arthritis QTL should be investigated in more detail. This comprehensive search should provide assistance in the identification of causative genes underlying arthritis QTL.     

The behavioral genetics ofCaenorhabditis elegans

Caenorhabditis elegans, a small free-living soil nematode, is an ideal organism for the genetic dissection of simple behaviors. Over 150 genes required for normal behavior have been identified. We review here the neural and genetic pathways underlying four of the best-studied C. elegans behaviors: locomotion, response to gentle touch, egg-laying, and chemotaxis. Mutations affecting these behaviors have identified genes which specify neuronal cell lineage, neuronal cell fate, and the formation of cell matrix cues involved in axonal guidance. Molecular analysis of genes required for normal behavior offers the prospect of characterizing functionally important nervous system proteins, regardless of their abundance or biochemical role.     

A close examination of genes within quantitative trait loci of bone mineral density in whole mouse genome

Bone mineral density (BMD) is one of the strongest determinants of osteoporotic fracture risk. Over the last decade, a large number of quantitative trait loci (QTL) that regulate BMD have been identified using the mouse model. In an attempt to examine the relationship between those QTL and gene distribution in the mouse genome, we searched PubMed with keywords bone and QTL for every publication up to January 2007; we obtained a total of 75 QTL of BMD. We next obtained genes within a QTL for measurements of BMD from the Ensembl database. We then evaluated the potential connection of every gene with bone biology with Online Mendelian Inheritance in Man (OMIM) and PubMed by using eight key words: bone mineral density, BMD, bone strength, bone size, osteoporosis, osteoblast, osteoclast, and fracture. We obtained a total of 15,084 genes for 75 BMD QTL covering 1,211,376,097 base pairs of genomic sequence. Although this very large number of genes exists within QTL regions, only 291 were identified as candidate genes according to our bioinformatics search. Importantly, the association between polymorphism of many candidate genes and BMD has been reported in human studies. Thus, updated genome information and resources should provide new insight for gene identification of QTL. Accordingly, the comprehensive search of candidate genes in the genome for known QTL may provide unexpected benefits for QTL studies.     

Lineage is an Epigenetic Modifier of QTL Influencing Behavioral Coping with Stress

A genome-wide scan was carried out on a segregating F2 population of rats derived from reciprocal intercrosses between two inbred strains of rats, Fisher 344 (F344) and Wistar Kyoto (WKY) that differ significantly in their behavioral coping responses to stress measured by the defensive burying (DB) test. The DB test measures differences in coping strategies by assaying an animals behavioral response to an immediate threat. We have previously identified three X-linked loci contributing to the phenotypic variance in behavioral coping. Here we report on six significant autosomal quantitative trait loci (QTL) related to different behaviors in the DB test:one for the number of shocks received, three for number of prod approaches, one for latency to bury, and one pleiotropic locus affecting both approach and latency. These QTL contributing to different aspects of coping behaviors show that the effect of genotype on phenotype is highly dependent on lineage. The WKY lineage was particularly influential, with five out of the six QTL affecting coping behavior only in rats of the WKY lineage, and one locus affecting only those in the F344 lineage. Thus, epigenetic factors, primarily of WKY origin, may significantly modulate the genetic contribution to variance in behavioral responses to stress in the DB test.     

Quantitative trait loci approach to the genetics of sleep in recombinant inbred mice

Sleep is a complex trait controlled by many genes, the environment, and probably by gene–environment interactions. Among different approaches to the genetics of sleep, analysis of quantitative traits (QTL) has the advantage of being able to detect, along with major genes, minor and/or modifier genes influencing different quantitative aspects of sleep. We have used QTL analysis in two different sets of recombinant inbred (RI) strains and sought for confirmation of several localizations in eight histocompatibility congenic strains. Several QTLs were identified which influenced the amount of vigilance states. In a first RI series (seven strains) the only QTLs identified were those affecting paradoxical sleep (PS), whereas analysis in a second RI series (25 strains) revealed QTLs influencing PS, slow-wave sleep, and total sleep. Among these, a single QTL on chromosome 5 was associated with all vigilance states, suggesting the presence of a major gene influencing a basic aspect of sleep amount. Search for candidate genes around the identified QTLs indicated several immune related genes that have been implicated in sleep regulation. Transgenic animals carrying loss-of-function and/or gain-of-function mutations affecting these candidate genes should confirm these findings.     

Using c-Fos immunocytochemistry to identify forebrain regions that may inhibit maternal behavior in rats

Evidence indicates there is a neural system that inhibits maternal behavior in virgin rats. It has been suggested that pregnancy hormones promote the onset of maternal behavior by reducing the behavioral influence of this system. The authors used c-Fos immunocytochemistry to identify brain regions more activated by pup exposure in nonmaternal rats than in maternal rats. Previous experiments indicated that some of these regions, such as the posterodorsal medial amygdala and several medial hypothalamic sites, inhibit maternal behavior. For others, such as the ventral lateral septum, dorsal premammillary nucleus, and principal bed nucleus of the stria terminalis, this is the first indication that they could also inhibit maternal responding. These regions have previously been implicated in promoting defensive behaviors, consistent with the finding that nonmaternal rats actively avoid pups. These findings suggest the existence of a neural circuit through which pup exposure could promote defensive responses in virgin rats, and how pregnancy hormones could reduce such activity to stimulate maternal behavior.     

Mapping quantitative trait loci for innate immune response in the pig

The aim of the present study was to detect quantitative trait loci (QTL) for the serum levels of cytokines and Toll‐like receptors as traits related to innate immunity in pig. For this purpose, serum concentration of interleukin 2 (IL2), interleukin 10 (IL10), interferon‐gamma (IFNG), Toll‐like receptor 2 (TLR2) and Toll‐like receptor 9 (TLR9) were measured in blood samples obtained from F₂ piglets (n = 334) of a Duroc × Piétrain resource population (DUPI) after Mycoplasma hypopneumoniae (Mh), tetanus toxoid (TT) and Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) vaccination at 6, 9 and 15 weeks of age. Animals were genotyped at 82 genetic markers covering all autosomes. QTL analysis was performed under the line cross F₂ model using QTL Express and 33 single QTL were detected on almost all porcine autosomes. Among the single QTL, eight, twelve and thirteen QTL were identified for innate immune traits in response to Mh, TT and PRRSV vaccine, respectively. Besides single QTL, six QTL were identified by a two‐QTL model, of which two for TLR9_TT were in coupling phase and one for IL10_PRRSV was in repulsion phase. All QTL were significant at 5% chromosome‐wide level including one and seven at 5% genome‐ and 1% chromosome‐wide level significance. All innate immune traits are influenced by multiple chromosomal regions implying multiple gene action. Some of the identified QTL coincided with previously reported QTL for immune response and disease resistance, and the newly identified QTL are potentially involved in the immune function. The immune traits were also influenced by environmental factors like year of birth, age, parity and litter size. The results of this work shed new light on the genetic background of innate immune response and these findings will be helpful to identify candidate genes in these QTL regions related to immune competence and disease resistance in pigs.     

Assessing the molecular genetics of the development of executive attention in children: focus on genetic pathways related to the anterior cingulate cortex and dopamine

It is well known that children show gradual and protracted improvement in an array of behaviors involved in the conscious control of thought and emotion. Non-invasive neuroimaging in developing populations has revealed many neural correlates of behavior, particularly in the developing cingulate cortex and frontostriatal circuits. These brain regions, themselves, undergo protracted molecular and cellular change in the first two decades of human development and, as such, are ideal regions of interest for cognitive- and imaging-genetic studies that seek to link processes at the biochemical and synaptic levels to brain activity and behavior. We review our research to date that employs both adult and child-friendly versions of the attention network task (ANT) in an effort to begin to describe the role of specific genes in the assembly of a functional attention system. Presently, we constrain our predictions for genetic association studies by focusing on the role of the anterior cingulate cortex (ACC) and of dopamine in the development of executive attention.     

Genome-wide linkage analysis for identifying quantitative trait loci involved in the regulation of lipoprotein a (Lpa) levels

Lipoprotein Lp(a) levels are highly heritable and are associated with cardiovascular risk. We performed a genome-wide linkage analysis to delineate the genomic regions that influence the concentration of Lp(a) in families from the Genetic Analysis of Idiopathic Thrombophilia (GAIT) Project. Lp(a) levels were measured in 387 individuals belonging to 21 extended Spanish families. A total of 485 DNA microsatellite markers were genotyped to provide a 7.1 cM genetic map. The variance component linkage method was used to evaluate linkage and to detect quantitative trait loci (QTLs). The main QTL that showed strong evidence of linkage with Lp(a) levels was located at the structural gene for apo(a) on chromosome 6 (LOD score=13.8). Interestingly, another QTL influencing Lp(a) concentration was located on chromosome 2 with an LOD score of 2.01. This region contains several candidate genes. One of them is the tissue factor pathway inhibitor (TFPI), which has antithrombotic action and also has the ability to bind lipoproteins. However, quantitative trait association analyses performed with 12 SNPs in TFPI gene revealed no association with Lp(a) levels. Our study confirms previous results on the genetic basis of Lp(a) levels. In addition, we report a new QTL on chromosome 2 involved in the quantitative variation of Lp(a). These data should serve as the basis for further detection of candidate genes and to elucidate the relationship between the concentration of Lp(a) and cardiovascular risk.     

Functional genomics in rat models of hypertension: using differential expression and congenic strains to identify and evaluate candidate genes

Hypertension is a leading contributor to cardiovascular diseases such as heart attack and stroke. Genetic and environmental factors contribute to the development of hypertension. Animal models have been developed to study the genetic contributions to blood pressure (BP) regulation and to identify chromosomal regions harboring candidate genes causative of differences in BP regulation (i.e., BP quantitative trait loci [QTL]). Advances in both mammalian genome projects and global gene expression analysis present opportunities to study functional genomics in these animal models. In this article, novel approaches for designing experiments and interpreting global gene expression data using the Dahl salt-sensitive hypertension rat model are presented. We describe two-step screening protocols that can be used to identify BP QTL candidate genes. Genetically determined expression differences are identified in the target organs of inbred strains of contrasting phenotype in the first screen. Expression patterns in a panel of congenic strains or expression differences stemming from gene x environment interactions are examined in the second screen. Chromosomal locations of these genes can then be examined to determine whether they map to BP QTL-containing regions. Another approach is to study the expression of genes identified from public databases to be located within BP QTL-containing congenic regions. Several candidate genes have been identified using these strategies.     

Loci for regulation of bone mineral density in men and women identified by genome wide linkage scan: the FAMOS study

Osteoporosis is a common disease with a strong genetic component, characterized by reduced bone mass and an increased risk of fracture. Bone mineral density (BMD) is a highly heritable trait and a key determinant of osteoporotic fracture risk, but the genes responsible are incompletely defined. Here, we identified quantitative trait loci (QTL) for regulation of BMD by a genome wide scan involving 3691 individuals from 715 families, who were selected because of reduced BMD values at the lumbar spine (LS-BMD) or femoral neck (FN-BMD) in probands. Linkage analysis was conducted in the study group as a whole with correction for age, gender, weight and height. Further analyses were conducted for men and women separately to identify gender-specific QTL and for those under and over the age of 50 years to distinguish QTL for peak bone mass from those that influence bone mass in older people. No regions of suggestive or significant linkage were identified when data from all subjects were analyzed together. On subgroup analysis, however, we identified a significant QTL for FN-BMD on chromosome 10q21 (LOD score +4.42; men < or =50 years) and two suggestive QTL for LS-BMD on chromosomes 18p11 (LOD score +2.83; women >50 years) and 20q13 (LOD score +3.20; women < or =50 years). We identified five other QTL for BMD with LOD scores of greater than +2.20 on chromosomes 3q25, 4q25, 7p14, 16p13 and 16q23. This study provides evidence for gender-specific, site-specific and age-specific QTL, which regulate BMD in humans, and illustrates the importance of conducting subgroup analysis to detect these loci.     

Quantitative trait analysis of nickel-induced acute lung injury in mice.

The genetic determinants underlying susceptibility to acute lung injury have not been identified. Recently, we found that the strain distribution pattern for mean survival time (MST) to three irritants-ozone, ultrafine Teflon, and nickel sulfate- was shared between inbred mouse strains. For ozone-induced acute lung injury, survival was found to be a complex trait controlled by at least three quantitative trait loci (QTLs), designated Aliq1, Aliq2, and Aliq3. To explore whether similar genes might be involved in survival to acute lung injury induced by nickel sulfate, we took advantage of the 2-fold difference in MSTs between the sensitive A/J and resistant C57BL/6J mice. QTL analysis of 307 backcross mice generated from these strains identified significant linkage to chromosome 6 (proposed as Aliq4) and suggestive linkage on chromosomes 1 and 12. Loci on chromosomes 9 and 16 had lod scores (log of the odds ratio, which equals the log of the "likelihood of linkage divided by the likelihood of no linkage") below significance, but contributed to the overall response. Comparing MSTs of backcross mice with similar haplotypes identified an allelic combination of four QTLs that could account for the survival time difference between the parental strains. Similar QTL intervals on chromosomes 6 and 12 were previously identified with ozone, suggesting that the interplay between different combinations of relatively few genes might be important for irritant-induced acute lung injury survival.     

Measurement of Segregating Behaviors in Experimental Silver Fox Pedigrees

Strains of silver foxes, selectively bred at the Institute of Cytology and Genetics of the Russian Academy of Sciences, are a well established, novel model for studying the genetic basis of behavior, and the processes involved in canine domestication. Here we describe a method to measure fox behavior as quantitative phenotypes which distinguish populations and resegregate in experimental pedigrees. We defined 50 binary observations that nonredundantly and accurately distinguished behaviors in reference populations and cross-bred pedigrees. Principal-component analysis dissected out the independent elements underlying these behaviors. PC1 accounted for >44% of the total variance in measured traits. This system clearly distinguished tame foxes from aggressive and wildtype foxes. F1 foxes yield intermediate values that extend into the ranges of both the tame and aggressive foxes, while the scores of the backcross generation resegregate. These measures can thus be used for QTL mapping to explore the genetic basis of tame and aggressive behavior in foxes, which should provide new insights into the mechanisms of mammalian behavior and canine domestication. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users. Edited by Marty Hahn.