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3924 Publications

Showing 3451-3460 of 3924 results
02/01/24 | The density of regulatory information is a major determinant of evolutionary constraint on non-coding DNA in Drosophila
Gonzalo Sabarís , Daniela M. Ortíz , Ian Laiker , Ignacio Mayansky , Sujay Naik , Giacomo Cavalli , David L. Stern , Ella Preger-Ben Noon , Nicolás Frankel
Molecular Biology and Evolution. 2024 Feb 01;41(2):msae004. doi: 10.1093/molbev/msae004

The density and distribution of regulatory information in non-coding DNA of eukaryotic genomes is largely unknown. Evolutionary analyses have estimated that ∼60% of nucleotides in intergenic regions of the D. melanogaster genome is functionally relevant. This estimate is difficult to reconcile with the commonly accepted idea that enhancers are compact regulatory elements that generally encompass less than 1 kilobase of DNA. Here, we approached this issue through a functional dissection of the regulatory region of the gene shavenbaby (svb). Most of the ∼90 kilobases of this large regulatory region is highly conserved in the genus Drosophila, though characterized enhancers occupy a small fraction of this region. By analyzing the regulation of svb in different contexts of Drosophila development, we found that the regulatory architecture that drives svb expression in the abdominal pupal epidermis is organized in a dramatically different way than the information that drives svb expression in the embryonic epidermis. While in the embryonic epidermis svb is activated by compact and dispersed enhancers, svb expression in the pupal epidermis is driven by large regions with enhancer activity, which occupy a great portion of the svb cis-regulatory DNA. We observed that other developmental genes also display a dense distribution of putative regulatory elements in their regulatory regions. Furthermore, we found that a large percentage of conserved non-coding DNA of the Drosophila genome is contained within putative regulatory DNA. These results suggest that part of the evolutionary constraint on non-coding DNA of Drosophila is explained by the density of regulatory information.

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08/17/18 | The development and enhancement of FRAP as a key tool for investigating protein dynamics.
Lippincott-Schwartz J, Snapp EL, Phair RD
Biophysical Journal. 2018 Aug 17;115(7):1146-55. doi: 10.1016/j.bpj.2018.08.007

The saga of fluorescence recovery after photobleaching (FRAP) illustrates how disparate technical developments impact science. Starting with the classic 1976 Axelrod et al. work in Biophysical Journal, FRAP (originally fluorescence photobleaching recovery) opened the door to extraction of quantitative information from photobleaching experiments, laying the experimental and theoretical groundwork for quantifying both the mobility and the mobile fraction of a labeled population of proteins. Over the ensuing years, FRAP's reach dramatically expanded, with new developments in GFP technology and turn-key confocal microscopy, which enabled measurement of protein diffusion and binding/dissociation rates in virtually every compartment within the cell. The FRAP technique and data catalyzed an exchange of ideas between biophysicists studying membrane dynamics, cell biologists focused on intracellular dynamics, and systems biologists modeling the dynamics of cell activity. The outcome transformed the field of cellular biology, leading to a fundamental rethinking of long-held theories of cellular dynamism. Here, we review the pivotal FRAP studies that made these developments and conceptual changes possible, which gave rise to current models of complex cell dynamics.

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03/01/99 | The developmental basis for allometry in insects.
Stern DL, Emlen DJ
Development. 1999 Mar;126(6):1091-101

Within all species of animals, the size of each organ bears a specific relationship to overall body size. These patterns of organ size relative to total body size are called static allometry and have enchanted biologists for centuries, yet the mechanisms generating these patterns have attracted little experimental study. We review recent and older work on holometabolous insect development that sheds light on these mechanisms. In insects, static allometry can be divided into at least two processes: (1) the autonomous specification of organ identity, perhaps including the approximate size of the organ, and (2) the determination of the final size of organs based on total body size. We present three models to explain the second process: (1) all organs autonomously absorb nutrients and grow at organ-specific rates, (2) a centralized system measures a close correlate of total body size and distributes this information to all organs, and (3) autonomous organ growth is combined with feedback between growing organs to modulate final sizes. We provide evidence supporting models 2 and 3 and also suggest that hormones are the messengers of size information. Advances in our understanding of the mechanisms of allometry will come through the integrated study of whole tissues using techniques from development, genetics, endocrinology and population biology.

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Riddiford Lab
01/01/14 | The developmental control of size in insects.
Nijhout HF, Riddiford LM, Mirth C, Shingleton AW, Suzuki Y, Callier V
Wiley Interdisciplinary Reviews: Developmental Biology. 2014 Jan/Feb;3(1):113-34. doi: 10.1002/wdev.124

The mechanisms that control the sizes of a body and its many parts remain among the great puzzles in developmental biology. Why do animals grow to a species-specific body size, and how is the relative growth of their body parts controlled to so they grow to the right size, and in the correct proportion with body size, giving an animal its species-characteristic shape? Control of size must involve mechanisms that somehow assess some aspect of size and are upstream of mechanisms that regulate growth. These mechanisms are now beginning to be understood in the insects, in particular in Manduca sexta and Drosophila melanogaster. The control of size requires control of the rate of growth and control of the cessation of growth. Growth is controlled by genetic and environmental factors. Insulin and ecdysone, their receptors, and intracellular signaling pathways are the principal genetic regulators of growth. The secretion of these growth hormones, in turn, is controlled by complex interactions of other endocrine and molecular mechanisms, by environmental factors such as nutrition, and by the physiological mechanisms that sense body size. Although the general mechanisms of growth regulation appear to be widely shared, the mechanisms that regulate final size can be quite diverse. WIREs Dev Biol 2014, 3:113–134. doi: 10.1002/wdev.124

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01/01/07 | The developmental genetics of microevolution.
Stern DL
Novartis Found Symp. 2007;284:191-200; discussion 200-6

What is the relationship between variation that segregates within natural populations and the differences that distinguish species? Many studies over the past century have demonstrated that most of the genetic variation within natural populations that contributes to quantitative traits causes relatively small phenotypic effects. In contrast, the genetic causes of quantitative differences between species are at least sometimes caused by few loci of relatively large effect. In addition, most of the results from evolutionary developmental biology are often discussed as though changes at just a few important 'molecular toolbox' genes provide the key clues to morphological evolution. On the face of it, these divergent results seem incompatible and call into question the neo-Darwinian view that differences between species emerge from precisely the same kinds of variants that segregate much of the time in natural populations. One prediction from the classical model is that many different genes can evolve to generate similar phenotypes. I discuss our studies that demonstrate that similar phenotypes have evolved in multiple lineages of Drosophila by evolution of the same gene, shavenbaby/ovo. This evidence for parallel evolution suggests that svb occupies a privileged position in the developmental network patterning larval trichomes that makes it a favourable target of evolutionary change.

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01/04/16 | The Dfam database of repetitive DNA families.
Hubley R, Finn RD, Clements J, Eddy SR, Jones TA, Bao W, Smit AF, Wheeler TJ
Nucleic Acids Research. 2016 Jan 4;44(D1):D81-9. doi: 10.1093/nar/gkv1272

Repetitive DNA, especially that due to transposable elements (TEs), makes up a large fraction of many genomes. Dfam is an open access database of families of repetitive DNA elements, in which each family is represented by a multiple sequence alignment and a profile hidden Markov model (HMM). The initial release of Dfam, featured in the 2013 NAR Database Issue, contained 1143 families of repetitive elements found in humans, and was used to produce more than 100 Mb of additional annotation of TE-derived regions in the human genome, with improved speed. Here, we describe recent advances, most notably expansion to 4150 total families including a comprehensive set of known repeat families from four new organisms (mouse, zebrafish, fly and nematode). We describe improvements to coverage, and to our methods for identifying and reducing false annotation. We also describe updates to the website interface. The Dfam website has moved to http://dfam.org. Seed alignments, profile HMMs, hit lists and other underlying data are available for download.

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Pavlopoulos Lab
10/31/07 | The DNA transposon Minos as a tool for transgenesis and functional genomic analysis in vertebrates and invertebrates.
Pavlopoulos A, Oehler S, Kapetanaki MG, Savakis C
Genome Biology. 2007 Oct 31;8 Suppl 1:S2. doi: 10.1186/gb-2007-8-s1-s2

Transposons are powerful tools for conducting genetic manipulation and functional studies in organisms that are of scientific, economic, or medical interest. Minos, a member of the Tc1/mariner family of DNA transposons, exhibits a low insertional bias and transposes with high frequency in vertebrates and invertebrates. Its use as a tool for transgenesis and genome analysis of rather different animal species is described.

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Baker Lab
09/12/96 | The dosage compensation system of Drosophila is co-opted by newly evolved X chromosomes.
Marin I, Franke A, Bashaw GJ, Baker BS
Nature. 1996 Sep 12;383(6596):160-3. doi: 10.1038/383160a0

In species where males and females differ in number of sex chromosomes, the expression of sex-linked genes is equalized by a process known as dosage compensation. In Drosophila melanogaster, dosage compensation is mediated by the binding of the products of the male-specific lethal (msl) genes to the single male X chromosome. Here we report that the sex- and chromosome-specific binding of three of the msl proteins (MSLs) occurs in other drosophilid species, spanning four genera. Moreover, we show that MSL binding correlates with the evolution of the sex chromosomes: in species that have acquired a second X chromosome arm because of an X-autosome translocation, we observe binding of the MSLs to the 'new' (previously autosomal) arm of the X chromosome, only when its homologue has degenerated. Moreover, in Drosophila miranda, a Y-autosome translocation has produced a new X chromosome (called neo-X), only some regions of which are dosage compensated. In this neo-X chromosome, the pattern of MSL binding correlates with the known pattern of dosage compensation.

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06/28/12 | The Drosophila female aphrodisiac pheromone activates ppk23(+) sensory neurons to elicit male courtship behavior.
Toda H, Zhao X, Dickson BJ
Cell Reports. 2012 Jun 28;1(6):599-607. doi: 10.1016/j.celrep.2012.05.007

Females of many animal species emit chemical signals that attract and arouse males for mating. For example, the major aphrodisiac pheromone of Drosophila melanogaster females, 7,11-heptacosadiene (7,11-HD), is a potent inducer of male-specific courtship and copulatory behaviors. Here, we demonstrate that a set of gustatory sensory neurons on the male foreleg, defined by expression of the ppk23 marker, respond to 7,11-HD. Activity of these neurons is required for males to robustly court females or to court males perfumed with 7,11-HD. Artificial activation of these ppk23(+) neurons stimulates male-male courtship even without 7,11-HD perfuming. These data identify the ppk23(+) sensory neurons as the primary targets for female sex pheromones in Drosophila.

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09/01/98 | The Drosophila genome project: a progress report.
Rubin GM
Trends in Genetics. 1998 Sep;14(9):340-3