323
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Sepsid even-skipped Enhancers Are Functionally Conserved in Drosophila Despite Lack of Sequence Conservation

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The gene expression pattern specified by an animal regulatory sequence is generally viewed as arising from the particular arrangement of transcription factor binding sites it contains. However, we demonstrate here that regulatory sequences whose binding sites have been almost completely rearranged can still produce identical outputs. We sequenced the even- skipped locus from six species of scavenger flies (Sepsidae) that are highly diverged from the model species Drosophila melanogaster, but share its basic patterns of developmental gene expression. Although there is little sequence similarity between the sepsid eve enhancers and their well-characterized D. melanogaster counterparts, the sepsid and Drosophila enhancers drive nearly identical expression patterns in transgenic D. melanogaster embryos. We conclude that the molecular machinery that connects regulatory sequences to the transcription apparatus is more flexible than previously appreciated. In exploring this diverse collection of sequences to identify the shared features that account for their similar functions, we found a small number of short (20–30 bp) sequences nearly perfectly conserved among the species. These highly conserved sequences are strongly enriched for pairs of overlapping or adjacent binding sites. Together, these observations suggest that the local arrangement of binding sites relative to each other is more important than their overall arrangement into larger units of cis-regulatory function.

          Author Summary

          The transformation of a fertilized egg into a complex, multicellular organism is a carefully choreographed process in which thousands of genes are turned on and off in specific spatial and temporal patterns that confer distinct physical properties and behaviors on emerging cells and tissues. To understand how an organism's genome specifies its form and function, it is therefore necessary to understand how patterns of gene expression are encoded in DNA. Decades of analysis of the fruit fly Drosophila melanogaster have identified numerous regulatory sequences, but have not fully illuminated how they work. Here we harness the record of natural selection to probe the function of these sequences. We identified regulatory sequences from scavenger fly species that diverged from Drosophila over 100 million years ago. While these regulatory sequences are almost completely different from their Drosophila counterparts, they drive identical expression patterns in Drosophila embryos, demonstrating extreme flexibility in the molecular machines that interpret regulatory DNA. Yet, the identical outputs produced by these sequences mean they must have something in common, and we describe one shared feature of regulatory sequence organization and function that has emerged from these comparisons. Our approach can be generalized to any regulatory system and species, and we believe that a growing collection of regulatory sequences with dissimilar sequences but similar outputs will reveal the molecular logic of gene regulation.

          Related collections

          Most cited references54

          • Record: found
          • Abstract: found
          • Article: not found

          Evolution of genes and genomes on the Drosophila phylogeny.

          Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The genome sequence of the malaria mosquito Anopheles gambiae.

            Anopheles gambiae is the principal vector of malaria, a disease that afflicts more than 500 million people and causes more than 1 million deaths each year. Tenfold shotgun sequence coverage was obtained from the PEST strain of A. gambiae and assembled into scaffolds that span 278 million base pairs. A total of 91% of the genome was organized in 303 scaffolds; the largest scaffold was 23.1 million base pairs. There was substantial genetic variation within this strain, and the apparent existence of two haplotypes of approximately equal frequency ("dual haplotypes") in a substantial fraction of the genome likely reflects the outbred nature of the PEST strain. The sequence produced a conservative inference of more than 400,000 single-nucleotide polymorphisms that showed a markedly bimodal density distribution. Analysis of the genome sequence revealed strong evidence for about 14,000 protein-encoding transcripts. Prominent expansions in specific families of proteins likely involved in cell adhesion and immunity were noted. An expressed sequence tag analysis of genes regulated by blood feeding provided insights into the physiological adaptations of a hematophagous insect.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Human-mouse alignments with BLASTZ.

              The Mouse Genome Analysis Consortium aligned the human and mouse genome sequences for a variety of purposes, using alignment programs that suited the various needs. For investigating issues regarding genome evolution, a particularly sensitive method was needed to permit alignment of a large proportion of the neutrally evolving regions. We selected a program called BLASTZ, an independent implementation of the Gapped BLAST algorithm specifically designed for aligning two long genomic sequences. BLASTZ was subsequently modified, both to attain efficiency adequate for aligning entire mammalian genomes and to increase its sensitivity. This work describes BLASTZ, its modifications, the hardware environment on which we run it, and several empirical studies to validate its results.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                June 2008
                June 2008
                27 June 2008
                : 4
                : 6
                : e1000106
                Affiliations
                [1 ]Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California, United States of America
                [2 ]Center for Integrative Genomics, University of California Berkeley, Berkeley, California, United States of America
                [3 ]Department of Biological Sciences, National University of Singapore, Singapore
                [4 ]Genomics Division, Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
                [5 ]California Institute for Quantitative Biosciences, Berkeley, California, United States of America
                Harvard Medical School, Howard Hughes Medical Institute, United States of America
                Author notes

                Conceived and designed the experiments: EH BP ME. Performed the experiments: EH BP. Analyzed the data: EH BP VI ME. Contributed reagents/materials/analysis tools: EH BP RM. Wrote the paper: EH ME.

                Article
                08-PLGE-RA-0160R2
                10.1371/journal.pgen.1000106
                2430619
                18584029
                ea2009f0-0c08-4576-a338-005d4e1be85a
                This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
                History
                : 28 February 2008
                : 22 May 2008
                Page count
                Pages: 13
                Categories
                Research Article
                Computational Biology/Comparative Sequence Analysis
                Computational Biology/Transcriptional Regulation
                Developmental Biology/Developmental Evolution
                Developmental Biology/Embryology
                Developmental Biology/Molecular Development
                Evolutionary Biology/Developmental Evolution
                Evolutionary Biology/Evolutionary and Comparative Genetics
                Evolutionary Biology/Genomics
                Evolutionary Biology/Pattern Formation
                Genetics and Genomics/Comparative Genomics

                Genetics
                Genetics

                Comments

                Comment on this article