Endocannabinoids in cognition and dependence

Cannabis use is associated with a wide range of pharmacological effects, some of which have potential therapeutic benefit while others result in negative outcomes. Acute cannabinoid intoxication has been well documented to produce deficits in cognitive functioning with concomitant changes in glutamatergic, GABAergic, and cholinergic neurochemical systems in the hippocampus, each of which has been implicated in memory. Additionally, cannabis-dependent individuals abstaining from this drug can undergo a constellation of mild withdrawal effects. The use of the CB(1) cannabinoid receptor antagonist SR141716A and transgenic mice lacking the CB(1) receptor are critical tools for investigating the role of the endocannabinoid system in cognition, drug dependence, and other physiological processes. Converging evidence in which performance in a variety of memory tasks is enhanced following either SR141716A treatment or in CB(1) receptor knockout mice indicates that this system may play an important role in modulating cognition. There are also indications that this system may function to modulate opioid dependence. The purpose of this review is to describe recent advances that have furthered our understanding of the roles that the endocannabinoid system play on both cognition and drug dependence.     

Beyond C4: Analysis of the complement gene pathway shows enrichment for IQ in patients with psychotic disorders and healthy controls

Variation in cognitive performance, which strongly predicts functional outcome in schizophrenia (SZ), has been associated with multiple immune‐relevant genetic loci. These loci include complement component 4 (C4A), structural variation at which was recently associated with SZ risk and synaptic pruning during neurodevelopment and cognitive function. Here, we test whether this genetic association with cognition and SZ risk is specific to C4A, or extends more broadly to genes related to the complement system. Using a gene‐set with an identified role in “complement” function (excluding C4A), we used MAGMA to test if this gene‐set was enriched for genes associated with human intelligence and SZ risk, using genome‐wide association summary statistics (IQ; N = 269 867, SZ; N = 105 318). We followed up this gene‐set analysis with a complement gene‐set polygenic score (PGS) regression analysis in an independent data set of patients with psychotic disorders and healthy participants with cognitive and genomic data (N = 1000). Enrichment analysis suggested that genes within the complement pathway were significantly enriched for genes associated with IQ, but not SZ. In a gene‐based analysis of 90 genes, SERPING1 was the most enriched gene for the phenotype of IQ. In a PGS regression analysis, we found that a complement pathway PGS associated with IQ genome‐wide association studies statistics also predicted variation in IQ in our independent sample. This association (observed across both patients and controls) remained significant after controlling for the relationship between C4A and cognition. These results suggest a robust association between the complement system and cognitive function, extending beyond structural variation at C4A.     

Coincidence in map positions between pathogen-induced defense-responsive genes and quantitative resistance loci in rice

Quantitative disease resistance conferred by quantitative trait loci (QTLs) is presumably of wider spectrum and durable. Forty-four cDNA clones, representing 44 defense-responsive genes, were fine mapped to 56 loci distributed on 9 of the 12 rice chromosomes. The locations of 32 loci detected by 27 cDNA clones were associated with previously identified resistance QTLs for different rice diseases, including blast, bacterial blight, sheath blight and yellow mottle virus. The loci detected by the same multiple-copy cDNA clones were frequently located on similar locations of different chromosomes. Some of the multiple loci detected by the same clones were all associated with resistance QTLs. These results suggest that some of the genes may be important components in regulation of defense responses against pathogen invasion and they may be the candidates for studying the mechanism of quantitative disease resistance in rice.     

Human behavioural genetics of cognitive abilities and disabilities

Although neither the genome nor the environment can be manipulated in research on human behaviour, some of the new tools of molecular genetics can be brought to bear on human behavioural disorders (e.g. cognitive disabilities) and quantitative traits (e.g. cognitive abilities). The inability to manipulate the human genome experimentally has had the positive effect of focusing attention on naturally occuring genetic variation responsible for behavioural differences among individuals in all their complex multifactorial splendour. Genes in such complex multiple-gene systems are called quantitative trait loci (QTLs), which merge the two worlds of genetic research, quantitative genetics and molecular genetics. Although most genetic research on complex human behaviour has focused on severe mental disorders, cognitive abilities and disabilities may be even more immediately relevant to neuroscience. For example, verbal ability and spatial ability are two of the most heritable cognitive abilities, and reading disability is the first behavioural disability for which replicated QTL linkage has been found. The purpose of this essay is to provide an overview of the genetics of cognitive abilities and disabilities as an example of the impending merger of quantitative genetics and molecular genetics in QTL analysis of complex traits.     

Oxytocin receptor and vasopressin receptor 1a genes are respectively associated with emotional and cognitive empathy

Empathy is the ability to recognize and share in the emotions of others. It can be considered a multifaceted concept with cognitive and emotional aspects. Little is known regarding the underlying neurochemistry of empathy and in the current study we used a neurogenetic approach to explore possible brain neurotransmitter pathways contributing to cognitive and emotional empathy. Both the oxytocin receptor (OXTR) and the arginine vasopressin receptor 1a (AVPR1a) genes contribute to social cognition in both animals and humans and hence are prominent candidates for contributing to empathy. The following research examined the associations between polymorphisms in these two genes and individual differences in emotional and cognitive empathy in a sample of 367 young adults. Intriguingly, we found that emotional empathy was associated solely with OXTR, whereas cognitive empathy was associated solely with AVPR1a. Moreover, no interaction was observed between the two genes and measures of empathy. The current findings contribute to our understanding of the distinct neurogenetic pathways involved in cognitive and emotional empathy and underscore the pervasive role of both oxytocin and vasopressin in modulating human emotions.     

Coincidence in map positions between pathogen-induced defense-responsive genes and quantitative resistance loci in rice

Quantitative disease resistance conferred by quantitative trait loci (QTLs) is presumably of wider spectrum and durable. Forty-four cDNA clones, representing 44 defense-responsive genes, were fine mapped to 56 loci distributed on 9 of the 12 rice chromosomes. The locations of 32 loci detected by 27 cDNA clones were associated with previously identified resistance QTLs for different rice diseases, including blast, bacterial blight, sheath blight and yellow mottle virus. The loci detected by the same multiple-copy cDNA clones were frequently located on similar locations of different chromosomes. Some of the multiple loci detected by the same clones were all associated with resistance QTLs. These results suggest that some of the genes may be important components in regulation of defense responses against pathogen invasion and they may be the candidates for studying the mechanism of quantitative disease resistance in rice.     

Candidate gene analysis of quantitative disease resistance in wheat

 Knowledge of the biological significance underlying quantitative trait loci (QTLs) for disease resistance is generally limited. In recent years, advances in plant-microbe interactions and genome mapping have lead to an increased understanding of the genes involved in plant defense and quantitative disease resistance. Here, we report on the application of the candidate-gene approach to the mapping of QTLs for disease resistance in a population of wheat recombinant inbreds. Over 50 loci, representing several classes of defense response (DR) genes, were placed on an existing linkage map and the genome was surveyed for QTLs associated with resistance to several diseases including tan spot, leaf rust, Karnal bunt, and stem rust. Analysis revealed QTLs with large effects in regions of putative resistance (R) genes, as previously reported. Several candidate genes, including oxalate oxidase, peroxidase, superoxide dismutase, chitinase and thaumatin, mapped within previously identified resistance QTLs and explained a greater amount of the phenotypic variation. A cluster of closely linked DR genes on the long arm of chromosome 7B, which included genes for catalase, chitinase, thaumatins and an ion channel regulator, had major effects for resistance to leaf rust of adult plants under conditions of natural infestation. The results of this study indicate that many minor resistance QTLs may be from the action of DR genes, and that the candidate-gene approach can be an efficient method of QTL identification. Received: 12 June 1998 / Accepted: 24 July 1998     

Replication study of candidate genes for cognitive abilities: the Lothian Birth Cohort 1936

As the proportion of older people in societies has increased, research into the determinants of cognitive ageing has risen in importance. Genetic influences account for over 50% of the variance in adult cognitive abilities. Previous studies on cognition and illnesses with cognitive impairments have identified single nucleotide polymorphisms ( SNPs) within candidate genes that might influence cognition or age-related cognitive change. This study investigated 10 candidate genes in over 1000 Scots: the Lothian Birth Cohort 1936 (LBC1936). These participants were tested on general cognitive ability (Scottish Mental Survey 1947) at age 11. At mean age 70, they completed the same general cognitive ability test and a battery of diverse cognitive tests. Nineteen SNPs in 10 genes previously associated with cognition, Alzheimer's disease or autism were genotyped in 1063 individuals. The genes include BDNF, COMT, DISC1, KL, NCSTN, PPP1R1B, PRNP, SHANK3, SORL1 and WRN . Linear regression analysis investigated the additive effect of each SNP on the cognitive variables, covarying for gender and age. Childhood cognitive ability was also included as a covariate to identify associations specifically with cognitive ageing. Certain SNPs reached the conventional significance threshold for association with cognitive traits or cognitive ageing in LBC1936 ( P   <   0.05). No SNPs reached the Bonferroni-level of significance (all P   >   0.0015). Of the 10 genes, we discuss that COMT , KL , PRNP, PPP1R1B, SORL1 and WRN especially merit further attention for association with cognitive ability and/or age-related cognitive change. All results are also presented so that they are valuable for future meta-analyses of candidate genes for cognition.     

Molecular characterization of resistance to Heterodera glycines in soybean PI 438489B

Soybean (Glycine max L. Merr.) plant introduction (PI) 438489B is a newly found germplasm source that has resistance to multiple soybean cyst nematode (Heterodera glycines Ichinohe, SCN) races. We studied the inheritance of resistance to SCN races 1, 2, 3, 5 and 14 in PI 438489B using F₂ and F_2:3 families, which were generated by crossing to the susceptible cultivar ’Hamilton.’ The objectives of this study were to investigate the inheritance for resistance to SCN races in PI 438489B, to find molecular markers associated with resistances, and to study the allelic relationships among resistance loci for different SCN races. The results showed that the responses to SCN races were approximately normally distributed with large environmental effects, and were also highly correlated, which implied that genes giving resistance to different races were similar. The narrow-sense heritabilities of resistance to all five SCN races ranged from 0.55 to 0.88. Fifty one restriction fragment length polymorphism (RFLP) markers and 64 simple sequence repeat (SSR) markers were found to be polymorphic in the F₂ population. Quantitative trait loci (QTLs) associated with resistance to SCN races were anchored on soybean linkage groups (LGs) A1, A2, B1, B2, C1, C2, D1a, E and G. These QTLs explained 47.3%, 45.8%, 51.5%, 34.5% and 37.2% of the total phenotypic variances, respectively, for each race we investigated. Some QTLs for different races encompassed the same region of flanking markers; therefore, QTLs for multiple races may be linked or pleiotropic effects may be involved. Some loci provided resistance in a race-specific manner. Resistance to SCN race 14 had a different pattern compared to other races. Our results indicated that resistance to race 14 did not include loci on LGs A2 and G. These flanking markers associated with QTLs could be used to select for resistance to multiple SCN races in soybean breeding programs. Received: 25 March 2000 / Accepted: 4 August 2000     

Mapping QTLs for field resistance to the rice blast pathogen and evaluating their individual and combined utility in improved varieties

Lines from a Lemont x Teqing recombinant inbred population were evaluated for dilatory resistance to rice blast disease using: (1) the Standard Evaluation System (SES) for rating leaf blast, (2) the percentage diseased leaf area (%DLA), and (3) the area under a disease progress curve (AUDPC). RFLP mapping using 175 well-distributed loci revealed nine QTLs, one each on chromosomes 1, 2, 3, 4, 6, 7 and 9, with two loci on chromosome 12. All nine putative QTLs were associated with AUDPC, six with both a %DLA and a SES rating. Teqing contributed the resistance allele for all these loci except for the one located on chromosome 4. Individual QTLs accounted for 5-32% of the observed phenotypic variation, and combined QTL models accounted for 43-53%. Three QTLs were located near three of the four major resistance genes previously identified in this population. The resistances of both Lemont and Teqing were attributable to a combination of both major genes capable of inducing hypersensitive reactions and minor genes causing less-distinctive phenotypic differences. Interactions were noted between QTLs and major genes. Our findings are in support of the strategy of pyramiding major genes and QTLs in carefully selected combinations to develop improved varieties with resistance to the blast fungus that is both broad in spectrum and durable.     

Disease resistance in rice and the role of molecular breeding in protecting rice crops against diseases

Rice diseases (bacterial, fungal, or viral) threaten food productivity. Host resistance is the most efficient, environmentally friendly method to cope with such diverse pathogens. Quantitative resistance conferred by quantitative trait loci (QTLs) is a valuable resource for rice disease resistance improvement. Although QTLs confer partial but durable resistance to many pathogen species in different crop plants, the molecular mechanisms of quantitative disease resistance remain mostly unknown. Quantitative resistance and non-host resistance are types of broad-spectrum resistance, which are mediated by resistance (R) genes. Because R genes activate different resistance pathways, investigating the genetic spectrum of resistance may lead to minimal losses from harmful diseases. Genome studies can reveal interactions between different genes and their pathways and provide insight into gene functions. Protein–protein interaction (proteomics) studies using molecular and bioinformatics tools may further enlighten our understanding of resistance phenomena.     

Mapping EST-derived SSRs and ESTs involved in resistance to bacterial blight in Manihot esculenta.

Cassava (Manihot esculenta Crantz) is a major root crop widely grown in the tropics. Cassava bacterial blight, caused by Xanthomonas axonopodis pv. manihotis (Xam), is an important disease in Latin America and Africa resulting in significant losses. The preferred control method is the use of resistant genotypes. Mapping expressed sequence tags (ESTs) and determining their co-localization with quantitative trait loci (QTLs) may give additional evidence of the role of the corresponding genes in resistance or defense. Twenty-one EST-derived simple sequence repeats (SSRs) were mapped in 16 linkage groups. ESTs showing similarities with candidate resistance genes or defense genes were also mapped using strategies such as restriction fragment length polymorphisms, cleaved amplified polymorphic sequences, and allele-specific primers. In total, 10 defense-related genes and 2 bacterial artificial chromosomes (BACs) containing resistance gene candidates (RGCs) were mapped in 11 linkage groups. Two new QTLs associated with resistance to Xam strains CIO121 and CIO151 were detected in linkage groups A and U, respectively. The QTL in linkage group U explained 61.6% of the phenotypic variance and was associated with an RGC-containing BAC. No correlation was found between the new EST-derived SSRs or other mapped ESTs and the new or previously reported QTLs.     

In silico integration of quantitative trait loci for seed yield and yield-related traits in Brassica napus

Mapping quantitative trait loci (QTLs) is a foundation for molecular marker-assisted selection and map-based gene cloning. During the past decade, numerous QTLs for seed yield (SY) and yield-related traits in Brassica napus L. have been identified. However, integration of these results in order to compare QTLs from different mapping populations has not been undertaken, due to the lack of common molecular markers between studies. Using previously reported Brassica rapa and Brassica oleracea genome sequences, we carried out in silico integration of 1,960 QTLs associated with 13 SY and yield-related traits from 15 B. napus mapping experiments over the last decade. A total of 736 SY and yield-related QTLs were mapped onto 283 loci in the A and C genomes of B. napus. These QTLs were unevenly distributed across the 19 B. napus chromosomes, with the most on chromosome A3 and the least on chromosome C6. Our integrated QTL map identified 142 loci where the conserved QTLs were detected and 25 multifunctional loci, mostly for the traits of flowering time (FT), plant height, 1,000-seed weight, maturity time and SY. These conserved QTLs and multifunctional loci may result from pleiotropism or clustered genes. At the same time, a total of 146 genes underlying the QTLs for FT and other yield-related traits were identified by comparative mapping with the Arabidopsis genome. These results facilitate the retrieval of B. napus SY and yield-related QTLs for research communities, increase the density of targeted QTL-linked markers, validate the existence of QTLs across different populations, and advance the fine mapping of genes.     

Drought tolerance genes in rice

Quantitative trait loci (QTLs) for drought tolerance (DT) can be readily identified in available databases and in this paper, these QTLs were summarized in the form of a consensus map. An in silico strategy was then deployed to mine for candidate genes associated with DT QTLs using rice dbEST and rice genome databases. DT QTLs on rice chromosomes 1, 2, 4, 8, and 9 were selected to test the method. The result showed candidate genes associated with DT could be readily identified.     

The earliest stages of adaptation in an experimental plant population: strong selection on QTLS for seed dormancy

Colonizing species may often encounter strong selection during the initial stages of adaptation to novel environments. Such selection is particularly likely to act on traits expressed early in development since early survival is necessary for the expression of adaptive phenotypes later in life. Genetic studies of fitness under field conditions, however, seldom include the earliest developmental stages. Using a new set of recombinant inbred lines, we present a study of the genetic basis of fitness variation in Arabidopsis thaliana in which genotypes, environments, and geographic location were manipulated to study total lifetime fitness, beginning with the seed stage. Large‐effect quantitative trait loci (QTLs) for fitness changed allele frequency and closely approached 90% in some treatments within a single generation. These QTLs colocated with QTLs for germination phenology when seeds were dispersed following a schedule of a typical winter annual, and they were detected in two geographic locations at different latitudes. Epistatically interacting loci affected both fitness and germination in many cases. QTLs for field germination phenology colocated with known QTLs for primary dormancy induction as assessed in laboratory tests, including the candidate genes DOG1 and DOG6. Therefore fitness, germination phenology, and primary dormancy are genetically associated at the level of specific chromosomal regions and candidate loci. Genes associated with the ability to arrest development at early life stages and assess environmental conditions are thereby likely targets of intense natural selection early in the colonization process.     

Ranking candidate genes in rat models of type 2 diabetes

Background  

Rat models are frequently used to find genomic regions that contribute to complex diseases, so called quantitative trait loci (QTLs). In general, the genomic regions found to be associated with a quantitative trait are rather large, covering hundreds of genes. To help selecting appropriate candidate genes from QTLs associated with type 2 diabetes models in rat, we have developed a web tool called Candidate Gene Capture (CGC), specifically adopted for this disorder.     

Creative cognition: the diverse operations and the prospect of applying a cognitive neuroscience perspective

Creativity is defined quite simply as "the ability to create" in most lexicons, but, in reality, this is a complex and heterogeneous construct about which there is much to be discovered. The cognitive approach to investigating creativity recognizes and seeks to understand this complexity by investigating the component processes involved in creative thinking. The cognitive neuroscience approach, which has only limitedly been applied in the study of creativity, should ideally build on these ideas in uncovering the neural substrates of these processes. Following an introduction into the early experimental ideas and the cognitive approach to creativity, we discuss the theoretical background and behavioral methods for testing various processes of creative cognition, including conceptual expansion, the constraining influence of examples, creative imagery and insight. The complex relations between the underlying component processes of originality and relevance across these tasks are presented thereafter. We then outline how some of these conceptual distinctions can be evaluated by neuroscientific evidence and elaborate on the neuropsychological approach in the study of creativity. Given the current state of affairs, our recommendation is that despite methodological difficulties that are associated with investigating creativity, adopting the cognitive neuroscience perspective is a highly promising framework for validating and expanding on the critical issues that have been raised in this paper.     

Isolation of a major genetic interaction associated with an extreme phenotype using assorted F2 populations in rice

Detection of quantitative trait loci (QTLs) is dependent on the materials used in the analysis, as different combinations of parental materials may lead to different outcomes in QTLs for the same trait. On the other hand, an extreme phenotype associated with a given trait implies the potential involvement of a particular allele in various allelic interactions. A genetic factor associated with such an extreme phenotype may frequently be identified from various genetic populations consisting of different parental combinations. In this study, we attempted to uncover the genetic factor associated with extremely early heading date in rice, using various F2 populations. Heading date in rice has been characterized by at least 19 QTLs, from which 12 genes have been identified. A58, a rice strain with an extremely early heading date, is adapted to Hokkaido, the northernmost limit of rice cultivation. Six F2 populations derived from crosses of A58 with six other strains displayed a range of heading dates. Genotyping using 19 QTL markers indicated that the A58 allele of the Ghd7 locus was present in most F2 individuals exhibiting extremely early heading dates. This analysis also demonstrated that when the wild-type Ehd1 allele was present, the Ghd7 allele from A58 accelerated floral induction. The results of this study demonstrate that assorted F2 populations are valuable materials for comprehensive genotyping to explore major genetic factors for extreme phenotypes, and that this methodology is broadly applicable to other unknown traits.