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Biomedical subjects

Anthony D Long

Publications and source records attributed to Anthony D Long.

At least 19 recordsLinked to original sources

A wing expressed sequence tag resource for Bicyclus anynana butterflies, an evo-devo model.

BACKGROUND: Butterfly wing color patterns are a key model for integrating evolutionary developmental biology and the study of adaptive morphological evolution. Yet, despite the biological, economical and educational value of butterflies they are still relatively under-represented in terms of available genomic resources. Here, we describe an Expression Sequence Tag (EST) project for Bicyclus anynana that has identified the largest available collection to date of expressed genes for any butterfly. RESULTS: By targeting cDNAs from developing wings at the stages when pattern is specified, we biased gene discovery towards genes potentially involved in pattern formation. Assembly of 9,903 ESTs from a subtracted library allowed us to identify 4,251 genes of which 2,461 were annotated based on BLAST analyses against relevant gene collections. Gene prediction software identified 2,202 peptides, of which 215 longer than 100 amino acids had no homology to any known proteins and, thus, potentially represent novel or highly diverged butterfly genes. We combined gene and Single Nucleotide Polymorphism (SNP) identification by constructing cDNA libraries from pools of outbred individuals, and by sequencing clones from the 3' end to maximize alignment depth. Alignments of multi-member contigs allowed us to identify over 14,000 putative SNPs, with 316 genes having at least one high confidence double-hit SNP. We furthermore identified 320 microsatellites in transcribed genes that can potentially be used as genetic markers. CONCLUSION: Our project was designed to combine gene and sequence polymorphism discovery and has generated the largest gene collection available for any butterfly and many potential markers in expressed genes. These resources will be invaluable for exploring the potential of B. anynana in particular, and butterflies in general, as models in ecological, evolutionary, and developmental genetics.

Animals↗

Fine scale structural variants distinguish the genomes of Drosophila melanogaster and D. pseudoobscura.

BACKGROUND: A primary objective of comparative genomics is to identify genomic elements of functional significance that contribute to phenotypic diversity. Complex changes in genome structure (insertions, duplications, rearrangements, translocations) may be widespread, and have important effects on organismal diversity. Any survey of genomic variation is incomplete without an assessment of structural changes. RESULTS: We re-examine the genome sequences of the diverged species Drosophila melanogaster and D. pseudoobscura to identify fine-scale structural features that distinguish the genomes. We detect 95 large insertion/deletion events that occur within the introns of orthologous gene pairs, the majority of which represent insertion of transposable elements. We also identify 143 microinversions below 5 kb in size. These microinversions reside within introns or just upstream or downstream of genes, and invert conserved DNA sequence. The sequence conservation within microinversions suggests they may be enriched for functional genetic elements, and their position with respect to known genes implicates them in the regulation of gene expression. Although we found a distinct pattern of GC content across microinversions, this was indistinguishable from the pattern observed across blocks of conserved non-coding sequence. CONCLUSION: Drosophila has long been known as a genus harboring a variety of large inversions that disrupt chromosome colinearity. Here we demonstrate that microinversions, many of which are below 1 kb in length, located in/near genes may also be an important source of genetic variation in Drosophila. Further examination of other Drosophila genome sequences will likely identify an array of novel microinversion events.

Animals↗

The pharmacology of ageing in Drosophila.

Recent research indicates that aging is affected by many genes and thus many biochemical pathways. This has led to a failure to find pharmaceuticals that significantly ameliorate the human aging process. Progress in evolutionary and genetic research, however, suggests the possibility of combining experimental evolution, genomic analysis, and mass screening of pharmaceuticals and botanicals to produce effective therapeutics for human aging. The starting point for this strategy is model systems that have outbred populations with substantially increased lifespan. These are easily produced by tuning the force of natural selection in the laboratory. Such biological material is then a good candidate for genomic analysis, leading to the identification of numerous biochemical pathways involved in increased lifespan, in the model system. These biochemical pathways would then be available for pharmaceutical development, first in fruit flies, then in rodents, and eventually in a clinical human population. We include a discussion of the pharmacological methods appropriate to this strategy of drug discovery.

Aging↗

A low-cost open-source SNP genotyping platform for association mapping applications.

Association mapping aimed at identifying DNA polymorphisms that contribute to variation in complex traits entails genotyping a large number of single-nucleotide polymorphisms (SNPs) in a very large panel of individuals. Few technologies, however, provide inexpensive high-throughput genotyping. Here, we present an efficient approach developed specifically for genotyping large fixed panels of diploid individuals. The cost-effective, open-source nature of our methodology may make it particularly attractive to those working in nonmodel systems.

Animals↗

A cis-regulatory sequence within the yellow locus of Drosophila melanogaster required for normal male mating success.

Drosophila melanogaster males perform a courtship ritual consisting of a series of dependent fixed-action patterns. The yellow (y) gene is required for normal male courtship behavior and subsequent mating success. To better characterize the requirement for y in the manifestation of innate male sexual behavior, we measured the male mating success (MMS) of 12 hypomorphic y mutants and matched-outbred-background controls using a y+ rescue element on a freely segregating minichromosome. We found that 4 hypomorphs significantly reduced MMS to varying degrees. Reduced MMS was largely independent of adult pigmentation patterns. These mutations defined a 300-bp regulatory region upstream of the transcription start, the mating-success regulatory sequence (MRS), whose function is required for normal MMS. Visualization of gene action via GFP and a Yellow antibody suggests that the MRS directs y transcription in a small number of cells in the third instar CNS, the developmental stage previously implicated in the role of y with regard to male courtship behavior. The presence of Yellow protein in these cells positively correlates with MMS in a subset of mutants. The MRS contains a regulatory sequence controlling larval pigmentation and a 35-bp sequence that is highly conserved within the genus Drosophila and is predicted to bind known transcription factors.

Animals↗

The effect of polymorphisms in the enhancer of split gene complex on bristle number variation in a large wild-caught cohort of Drosophila melanogaster.

The Enhancer of split complex [E(spl)-C] in Drosophila encompasses a variety of functional elements controlling bristle patterning and on the basis of prior work is a strong candidate for harboring alleles having subtle effects on bristle number variation. Here we extend earlier studies identifying associations between complex phenotypes and polymorphisms segregating among inbred laboratory lines of Drosophila and test the influence of E(spl)-C on bristle number variation in a natural cohort. We describe results from an association mapping study using 203 polymorphisms spread throughout the E(spl)-C genotyped in 2000 wild-caught Drosophila melanogaster. Despite power to detect associations accounting for as little as 2% of segregating variation for bristle number, and saturating the region with single-nucleotide polymorphisms (SNPs), we identified no single SNP marker showing a significant (additive over loci) effect after correcting for multiple tests. Using a newly developed test we conservatively identify six regions of the E(spl)-C in which the insertion of transposable elements as a class contributes to variation in bristle number, apparently in a sex- or trait-limited fashion. Finally, we carry out all possible 20,503 two-way tests for epistasis and identify a slight excess of marginally significant interactions, although none survive multiple-testing correction. It may not be straightforward to extend the results of laboratory-based association studies to natural populations.

Animal Structures↗

Changes in gene expression following high-temperature adaptation in experimentally evolved populations of E. coli.

Transcription profiling (quantitative analysis of RNA abundance) can provide a genome-wide picture of gene expression changes that accompany organismal adaptation to a new environment. Here, we used DNA microarrays to characterize genome-wide changes in transcript abundance in three replicate lines of the bacterium E. coli grown for 2,000 generations at a stressful high temperature (41.5 degrees C). Across these lines, 12% of genes significantly changed expression during high-temperature adaptation; the majority of these changes (55%) were less than twofold increments or decrements. Thirty-nine genes, four times the number expected by chance alone, exhibited moderately or highly replicated expression changes across lines. Expression changes within a priori defined functional categories showed an even greater level of replication than did individual genes. Expression changes in the phenotypically defined stress genes and adaptation functional categories were important in evolutionary adaptation to high temperature.

Adaptation, Physiological↗

Prospects for identifying functional variation across the genome.

The genetic factors contributing to complex trait variation may reside in regulatory, rather than protein-coding portions of the genome. Within noncoding regions, SNPs in regulatory elements are more likely to contribute to phenotypic variation than those in nonregulatory regions. Thus, it is important to be able to identify and annotate noncoding regulatory elements. DNA conservation among diverged species successfully identifies noncoding regulatory regions. However, because rapidly evolving regulatory regions will not generally be conserved across species, these will not detected by using purely conservation-based methods. Here we describe additional approaches that can be used to identify putative regulatory elements via signatures of nonneutral evolution. An examination of the pattern of polymorphism both within and between populations of Drosophila melanogaster, as well as divergence with its sibling species Drosophila simulans, across 24.2 kb of noncoding DNA identifies several nonneutrally evolving regions not identified by conservation. Because different methods tag different regions, it appears that the methods are complementary. Patterns of variation at different elements are consistent with the action of selective sweeps, balancing selection, or population differentiation. Together with regions conserved between D. melanogaster and Drosophila pseudoobscura, we tag 5.3 kb of noncoding DNA as potentially regulatory. Ninety-seven of the 408 common noncoding SNPs surveyed are within putatively regulatory regions. If these methods collectively identify the majority of functional noncoding polymorphisms, genotyping only these SNPs in an association mapping framework would reduce genotyping effort for noncoding regions 4-fold.

Animals↗

Identifying signatures of selection at the enhancer of split neurogenic gene complex in Drosophila.

The Enhancer of split gene complex (E(spl)-C) is one of the more highly annotated gene regions in Drosophila, and the 12 genes within the complex help determine the spacing and patterning of adult bristles. Any E(spl)-C coding, transcribed, or cis-regulatory regions experiencing nonneutral evolution are strong candidates to harbor polymorphisms contributing to naturally occurring variation in bristle number. We confirm that the E(spl)-C is strongly conserved and show that 74% of regulatory elements previously identified in D. melanogaster are conserved in D. pseudoobscura. Regulatory elements in enhancer regions show lower nucleotide diversity and more rare polymorphisms compared with adjacent nonregulatory DNA, suggesting they are under purifying selection, and these effects are particularly pronounced when considering only conserved regulatory elements. The ratio of polymorphism to divergence was significantly different between binding sites and nonbinding sites for transcription factors within enhancer regions, suggesting the action of some form of selection. Too few polymorphisms in regions of the 3' UTR harboring regulatory motifs prevents adequate comparison of diversity and the polymorphism frequency spectrum between 3' UTR motif and nonmotif sequence. We identified at least two broad regions of the gene complex showing strong population subdivision among four populations, which is suggestive of local adaptation or background selection. Finally, two regions of the E(spl)-C exhibit low nucleotide diversity, a high level of rare polymorphisms, and an increase in linkage disequilibrium, which together suggest the action of positive selection. Notably, the gene m2 shows a significant deviation from neutrality by the McDonald-Kreitman test and resides in one of the two regions putatively experiencing a selective sweep. All sites in regions apparently visible to various selective forces are candidates for future work to determine their phenotypic effects.

3' Untranslated Regions↗

A potential regulatory polymorphism upstream of hairy is not associated with bristle number variation in wild-caught Drosophila.

To extend results from laboratory genetic mapping experiments to natural populations it is necessary to estimate the phenotypic effects attributable to laboratory-identified genetic factors in nature. We retested a polymorphism found to be strongly associated with an increase of 0.35 sternopleural bristles in laboratory strains in two large samples of wild-caught Drosophila melanogaster. Despite >90% power to detect effects as low as 0.27 bristles (<1% of the total variation in bristle number) we did not replicate the association in nature. Potential explanations for this result are explored.

Animals↗

No evidence for an association between common nonsynonymous polymorphisms in delta and bristle number variation in natural and laboratory populations of Drosophila melanogaster.

We test the hypothesis that naturally occurring nonsynonymous variants in the Delta ligand of the Notch signaling pathway contribute to standing variation in sternopleural and/or abdominal bristle number in Drosophila melanogaster, for both a large cohort of wild-caught flies and previously described laboratory lines. We sequenced the transcribed region of Delta for 16 naturally occurring chromosomes and 65 SNPs, including 7 nonsynonymous SNPs (nsSNPs), were observed. Identified nsSNPs and 6 additional common SNPs, all located in exon 6 and the 3' UTR, were genotyped in 2060 wild-caught flies using an OLA-based methodology and genotyped in 38 additional natural chromosomes via DNA sequencing. None of the genotyped nsSNPs were significantly associated with natural variation in bristle number as assessed by a permutation test. A 95% upper bound on the additive genetic variance attributable to each genotyped SNP in the large natural cohort is <2% of the total phenotypic variation. Results suggest that two previously detected genotype/phenotype associations between bristle number and variants in the introns of Delta cannot be explained by linkage disequilibrium between these variants and nearby nonsynonymous variants. Unidentified regulatory variants more parsimoniously explain previous observations.

3' Untranslated Regions↗

Evolutionary changes in heat-inducible gene expression in lines of Escherichia coli adapted to high temperature.

The involvement of heat-inducible genes, including the heat-shock genes, in the acute response to temperature stress is well established. However, their importance in genetic adaptation to long-term temperature stress is less clear. Here we use high-density arrays to examine changes in expression for 35 heat-inducible genes in three independent lines of Escherichia coli that evolved at high temperature (41.5 degrees C) for 2,000 generations. These lines exhibited significant changes in heat-inducible gene expression relative to their ancestor, including parallel changes in fkpA, gapA, and hslT. As a group, the heat-inducible genes were significantly more likely than noncandidate genes to have evolved changes in expression. Genes encoding molecular chaperones and ATP-dependent proteases, key components of the cytoplasmic stress response, exhibit relatively little expression change; whereas genes with periplasmic functions exhibit significant expression changes suggesting a key role for the extracytoplasmic stress response in the adaptation to high temperature. Following acclimation at 41.5 degrees C, two of the three lines exhibited significantly improved survival at 50 degrees C, indicating changes in inducible thermotolerance. Thus evolution at high temperature led to significant changes at the molecular level in heat-inducible gene expression and at the organismal level in inducible thermotolerance and fitness.

Adaptation, Physiological↗

A gene necessary for normal male courtship, yellow, acts downstream of fruitless in the Drosophila melanogaster larval brain.

The fruitless (fru) gene is a member of the Drosophila melanogaster somatic sex determination genetic pathway. Although it has been hypothesized that the primary function of fru is to regulate a genetic hierarchy specifying development of adult male courtship behavior, genes acting downstream of fru have not yet been identified. Here we demonstrate that the yellow (y) gene is genetically downstream of fru in the 3(rd)-instar larval brain. Yellow protein is present at elevated levels in neuroblasts, which also show expression of male-specific FRU proteins, compared to control neuroblasts without FRU. A location for y downstream of fru in a genetic pathway was experimentally demonstrated by analysis of fru mutants lacking transcription of zinc-finger DNA binding domains, and of animals with temporal, spatial, or sexual mis-expression of male-specific FRU. A subset of fru and y mutants is known to reduce levels of a specific behavioral component of the male courtship ritual, wing extension, and FRU and Yellow were detected in the general region of the brain whose maleness is necessary for development of that behavior. We therefore hypothesized that ectopic expression of Yellow in the 3(rd)-instar brain, in a y null background, would rescue low levels of wing extension and male competitive mating success, and this was found to be the case. Overall, these data suggest that y is a downstream member of the fru branch of the D. melanogaster sex determination hierarchy, where it plays a currently unknown role in the development of adult male wing extension during courtship.

Animals↗

Inferences regarding the numbers and locations of QTLs under multiple-QTL models using interval mapping and composite interval mapping.

This paper examines the properties of likelihood maps generated by interval mapping (IM) and composite interval mapping (CIM), two widely used methods for detecting quantitative trait loci (QTLs). We evaluate the usefulness of interpretations of entire maps, rather than only evaluating summary statistics that consider isolated features of maps. A simulation study was performed in which traits with varying genetic architectures, including 20-40 QTLs per chromosome, were examined with both IM and CIM under different marker densities and sample sizes. IM was found to be an unreliable tool for precise estimation of the number and locations of individual QTLs, although it has greater power for simply detecting the presence of QTLs than CIM. The ability of CIM to resolve the correct number of QTLs and to estimate their locations correctly is good if there are three or fewer QTLs per 100 centiMorgans, but can lead to erroneous inferences for more complex architectures. When the underlying genetic architecture of a trait consists of several QTLs with randomly distributed effects and locations likelihood profiles were often indicative of a few underlying genes of large effect. Studies that have detected more than a few QTLs per chromosome should be interpreted with caution.

Animals↗

Immunohistochemical colocalization of Yellow and male-specific Fruitless in Drosophila melanogaster neuroblasts.

The Drosophila melanogaster fruitless gene encodes multiple male-specific transcription factors that are hypothesized to regulate a hierarchy of genes responsible for the development of male courtship behavior. Here we show that there are dramatically increased levels of the protein product of the male courtship behavior gene yellow associated with male-specific Fruitless protein in a subset of neuroblasts in third-instar larval male brains. We hypothesize that yellow is downstream of fruitless in a male courtship behavior developmental genetic pathway.

Animals↗

Ageing: the many-headed monster.

Ageing involves numerous pathways that are not functionally coordinated. The genome-wide profiling of transcription during Drosophila ageing is proving to be a powerful new tool for identifying these pathways.

Aging↗

Contribution of Distal-less to quantitative variation in butterfly eyespots.

The colour patterns decorating butterfly wings provide ideal material to study the reciprocal interactions between evolution and development. They are visually compelling products of selection, often with a clear adaptive value, and are amenable to a detailed developmental characterization. Research on wing-pattern evolution and development has focused on the eyespots of the tropical butterfly Bicyclus anynana. There is quantitative variation for several features of eyespot morphology but the actual genes contributing to such variation are unknown. On the other hand, studies of gene expression patterns in wing primordia have implicated different developmental pathways in eyespot formation. To link these two sets of information we need to identify which genes within the implicated pathways contribute to the quantitative variation accessible to natural selection. Here we begin to bridge this gap by demonstrating linkage between DNA polymorphisms in the candidate gene Distal-less (Dll) and eyespot size in B. anynana.

Animals↗