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Featured researches published by Yu-Hui Rogers.


PLOS Biology | 2007

The Sorcerer II Global Ocean Sampling Expedition: Northwest Atlantic through Eastern Tropical Pacific

Douglas B. Rusch; Aaron L. Halpern; Granger Sutton; Karla B. Heidelberg; Shannon J. Williamson; Shibu Yooseph; Dongying Wu; Jonathan A. Eisen; Jeff Hoffman; Karin A. Remington; Karen Beeson; Bao Duc Tran; Hamilton O. Smith; Holly Baden-Tillson; Clare Stewart; Joyce Thorpe; Jason Freeman; Cynthia Andrews-Pfannkoch; Joseph E. Venter; Kelvin Li; Saul Kravitz; John F. Heidelberg; Terry Utterback; Yu-Hui Rogers; Luisa I. Falcón; Valeria Souza; Germán Bonilla-Rosso; Luis E. Eguiarte; David M. Karl; Shubha Sathyendranath

The worlds oceans contain a complex mixture of micro-organisms that are for the most part, uncharacterized both genetically and biochemically. We report here a metagenomic study of the marine planktonic microbiota in which surface (mostly marine) water samples were analyzed as part of the Sorcerer II Global Ocean Sampling expedition. These samples, collected across a several-thousand km transect from the North Atlantic through the Panama Canal and ending in the South Pacific yielded an extensive dataset consisting of 7.7 million sequencing reads (6.3 billion bp). Though a few major microbial clades dominate the planktonic marine niche, the dataset contains great diversity with 85% of the assembled sequence and 57% of the unassembled data being unique at a 98% sequence identity cutoff. Using the metadata associated with each sample and sequencing library, we developed new comparative genomic and assembly methods. One comparative genomic method, termed “fragment recruitment,” addressed questions of genome structure, evolution, and taxonomic or phylogenetic diversity, as well as the biochemical diversity of genes and gene families. A second method, termed “extreme assembly,” made possible the assembly and reconstruction of large segments of abundant but clearly nonclonal organisms. Within all abundant populations analyzed, we found extensive intra-ribotype diversity in several forms: (1) extensive sequence variation within orthologous regions throughout a given genome; despite coverage of individual ribotypes approaching 500-fold, most individual sequencing reads are unique; (2) numerous changes in gene content some with direct adaptive implications; and (3) hypervariable genomic islands that are too variable to assemble. The intra-ribotype diversity is organized into genetically isolated populations that have overlapping but independent distributions, implying distinct environmental preference. We present novel methods for measuring the genomic similarity between metagenomic samples and show how they may be grouped into several community types. Specific functional adaptations can be identified both within individual ribotypes and across the entire community, including proteorhodopsin spectral tuning and the presence or absence of the phosphate-binding gene PstS.


PLOS Biology | 2007

The Diploid Genome Sequence of an Individual Human

Samuel Levy; Granger Sutton; Pauline C. Ng; Lars Feuk; Aaron L. Halpern; Brian Walenz; Nelson Axelrod; Jiaqi Huang; Ewen F. Kirkness; Gennady Denisov; Yuan Lin; Jeffrey R. MacDonald; Andy Wing Chun Pang; Mary Shago; Timothy B. Stockwell; Alexia Tsiamouri; Vineet Bafna; Vikas Bansal; Saul Kravitz; Dana Busam; Karen Beeson; Tina McIntosh; Karin A. Remington; Josep F. Abril; John Gill; Jon Borman; Yu-Hui Rogers; Marvin Frazier; Stephen W. Scherer; Robert L. Strausberg

Presented here is a genome sequence of an individual human. It was produced from ∼32 million random DNA fragments, sequenced by Sanger dideoxy technology and assembled into 4,528 scaffolds, comprising 2,810 million bases (Mb) of contiguous sequence with approximately 7.5-fold coverage for any given region. We developed a modified version of the Celera assembler to facilitate the identification and comparison of alternate alleles within this individual diploid genome. Comparison of this genome and the National Center for Biotechnology Information human reference assembly revealed more than 4.1 million DNA variants, encompassing 12.3 Mb. These variants (of which 1,288,319 were novel) included 3,213,401 single nucleotide polymorphisms (SNPs), 53,823 block substitutions (2–206 bp), 292,102 heterozygous insertion/deletion events (indels)(1–571 bp), 559,473 homozygous indels (1–82,711 bp), 90 inversions, as well as numerous segmental duplications and copy number variation regions. Non-SNP DNA variation accounts for 22% of all events identified in the donor, however they involve 74% of all variant bases. This suggests an important role for non-SNP genetic alterations in defining the diploid genome structure. Moreover, 44% of genes were heterozygous for one or more variants. Using a novel haplotype assembly strategy, we were able to span 1.5 Gb of genome sequence in segments >200 kb, providing further precision to the diploid nature of the genome. These data depict a definitive molecular portrait of a diploid human genome that provides a starting point for future genome comparisons and enables an era of individualized genomic information.


Science | 2007

Genome sequence of Aedes aegypti, a major arbovirus vector

Vishvanath Nene; Jennifer R. Wortman; Daniel John Lawson; Brian J. Haas; Chinnappa D. Kodira; Zhijian Jake Tu; Brendan J. Loftus; Zhiyong Xi; Karyn Megy; Manfred Grabherr; Quinghu Ren; Evgeny M. Zdobnov; Neil F. Lobo; Kathryn S. Campbell; Susan E. Brown; Maria F. Bonaldo; Jingsong Zhu; Steven P. Sinkins; David G. Hogenkamp; Paolo Amedeo; Peter Arensburger; Peter W. Atkinson; Shelby Bidwell; Jim Biedler; Ewan Birney; Robert V. Bruggner; Javier Costas; Monique R. Coy; Jonathan Crabtree; Matt Crawford

We present a draft sequence of the genome of Aedes aegypti, the primary vector for yellow fever and dengue fever, which at ∼1376 million base pairs is about 5 times the size of the genome of the malaria vector Anopheles gambiae. Nearly 50% of the Ae. aegypti genome consists of transposable elements. These contribute to a factor of ∼4 to 6 increase in average gene length and in sizes of intergenic regions relative to An. gambiae and Drosophila melanogaster. Nonetheless, chromosomal synteny is generally maintained among all three insects, although conservation of orthologous gene order is higher (by a factor of ∼2) between the mosquito species than between either of them and the fruit fly. An increase in genes encoding odorant binding, cytochrome P450, and cuticle domains relative to An. gambiae suggests that members of these protein families underpin some of the biological differences between the two mosquito species.


Nature | 2010

Genomic and functional adaptation in surface ocean planktonic prokaryotes

Shibu Yooseph; Kenneth H. Nealson; Douglas B. Rusch; John P. McCrow; Christopher L. Dupont; Maria Kim; Justin Johnson; Robert Montgomery; Steve Ferriera; Karen Beeson; Shannon J. Williamson; Andrey Tovchigrechko; Andrew E. Allen; Lisa Zeigler; Granger Sutton; Eric Eisenstadt; Yu-Hui Rogers; Robert Friedman; Marvin Frazier; J. Craig Venter

The understanding of marine microbial ecology and metabolism has been hampered by the paucity of sequenced reference genomes. To this end, we report the sequencing of 137 diverse marine isolates collected from around the world. We analysed these sequences, along with previously published marine prokaryotic genomes, in the context of marine metagenomic data, to gain insights into the ecology of the surface ocean prokaryotic picoplankton (0.1–3.0 μm size range). The results suggest that the sequenced genomes define two microbial groups: one composed of only a few taxa that are nearly always abundant in picoplanktonic communities, and the other consisting of many microbial taxa that are rarely abundant. The genomic content of the second group suggests that these microbes are capable of slow growth and survival in energy-limited environments, and rapid growth in energy-rich environments. By contrast, the abundant and cosmopolitan picoplanktonic prokaryotes for which there is genomic representation have smaller genomes, are probably capable of only slow growth and seem to be relatively unable to sense or rapidly acclimate to energy-rich conditions. Their genomic features also lead us to propose that one method used to avoid predation by viruses and/or bacterivores is by means of slow growth and the maintenance of low biomass.


Nature | 2005

Genomics: Massively parallel sequencing

Yu-Hui Rogers; J. Craig Venter

A sequencing system has been developed that can read 25 million bases of genetic code — the entire genome of some fungi — within four hours. The technique may provide an alternative approach to DNA sequencing.Speed sequencingThe race is on for a big prize: the job of providing the worlds DNA sequencing laboratories with the successor to the ‘Sanger-based’ technology that gave us the first wave of genome sequences. One technology in the frame is that produced by 454 Life Sciences Corporation of Branford, Connecticut. Todays technology reads 67,000 base pairs per hour; this new approach is 100 times faster, reading 6 million base pairs per hour. The improved performance results from using picolitre-sized chemical reactors, enhanced light-emitting sequencing chemistries and complex informatics. Further miniaturization of the system is planned. Such leaps in technology may one day make it possible to analyse an individuals genome before designing therapy: the ultimate in personalized medicine.


Proceedings of the National Academy of Sciences of the United States of America | 2009

Transcriptome-guided characterization of genomic rearrangements in a breast cancer cell line

Qi Zhao; Otavia L. Caballero; Samuel Levy; Brian J. Stevenson; Christian Iseli; Sandro J. de Souza; Pedro A. F. Galante; Dana Busam; Margaret Leversha; Kalyani Chadalavada; Yu-Hui Rogers; J. Craig Venter; Andrew J.G. Simpson; Robert L. Strausberg

We have identified new genomic alterations in the breast cancer cell line HCC1954, using high-throughput transcriptome sequencing. With 120 Mb of cDNA sequences, we were able to identify genomic rearrangement events leading to fusions or truncations of genes including MRE11 and NSD1, genes already implicated in oncogenesis, and 7 rearrangements involving other additional genes. This approach demonstrates that high-throughput transcriptome sequencing is an effective strategy for the characterization of genomic rearrangements in cancers.


Drug Discovery Today | 2008

Emerging DNA sequencing technologies for human genomic medicine

Robert L. Strausberg; Samuel Levy; Yu-Hui Rogers

The completion of draft sequences of the human genome represented a remarkable achievement for automated DNA sequencing based on Sanger technology. However, the future requires substantial leaps in sequencing technology such that whole genome sequencing will become a standard component of biomedical research and patient care. In this review we describe current advances that are in early stages of development, but that point toward technology that will enable the onset of genomic medicine encompasses strategies for preventative medicine and intervention based on complete knowledge of an individuals genome.


computational systems bioinformatics | 2006

EXPLORING THE OCEAN'S MICROBES: SEQUENCING THE SEVEN SEAS

Marvin E. Frazier; Douglas B. Rusch; Aaron L. Halpern; Karla B. Heidelberg; Granger Sutton; Shannon J. Williamson; Shibu Yooseph; Dongying Wu; Jonathan A. Eisen; Jeff Hoffman; Charles H. Howard; Cyrus Foote; Brooke A. Dill; Karin A. Remington; Karen Beeson; Bao Tran; Hamilton O. Smith; Holly Baden-Tillson; Clare Stewart; Joyce Thorpe; Jason Freemen; Cindy Pfannkoch; Joseph E. Venter; John F. Heidelberg; Terry Utterback; Yu-Hui Rogers; Shaojie Zhang; Vineet Bafna; Luisa I. Falcón; Valeria Souza

Marvin E. Frazier,Douglas B. Rusch, Aaron L. Halpern, Karla B. Heidelberg, Granger Sutton, Shannon Williamson, Shibu Yooseph, Dongying Wu, Jonathan A. Eisen, Jeff Hoffman, Charles H. Howard, Cyrus Foote, Brooke A. Dill, Karin Remington, Karen Beeson, Bao Tran, Hamilton Smith, Holly Baden-Tillson, Clare Stewart, Joyce Thorpe, Jason Freemen, Cindy Pfannkoch, Joseph E. Venter, John Heidelberg, Terry Utterback, Yu-Hui Rogers, Shaojie Zhang, Vineet Bafna, Luisa Falcon, Valeria Souza,German Bonilla, Luis E. Eguiarte , David M. Karl, Ken Nealson, Shubha Sathyendranath, Trevor Platt, Eldredge Bermingham, Victor Gallardo, Giselle Tamayo, Robert Friedman, Robert Strausberg, J. Craig Venter 1 J. Craig Venter Institute, Rockville, Maryland, United States Of America 2 The Institute For Genomic Research, Rockville, Maryland, United States Of America 3 Department of Computer Science, University of California San Diego 4 Instituto de Ecologia Dept. Ecologia Evolutiva, National Autonomous University of Mexico Mexico City, 04510 Distrito Federal, Mexico 5 University of Hawaii, Honolulu, United States of America 6 Dept. of Earth Sciences, University of Southern California, Los Angeles, California, United States of America 7 Dalhousie University, Halifax, Nova Scotia, Canada 8 Smithsonian Tropical Research Institute, Balboa, Ancon, Republic of Panama 9 University of Concepcion, Concepcion, Chile 10 University of Costa Rica, San Pedro, San Jose, Republic of Costa Rica


Nature Precedings | 2010

Foregut microbiome in development of esophageal adenocarcinoma

Liying Yang; William E. Oberdorf; Erika A. Gerz; Tamasha Parsons; Pinak Shah; Sukhleen Bedi; Carlos W. Nossa; Stuart M. Brown; Yu Chen; Mengling Liu; Michael A. Poles; Fritz Francois; Morris Traube; Navjeet Singh; Todd Z. DeSantis; Gary L. Andersen; Monika Bihan; Les Foster; Aaron Tenney; Daniel Brami; Mathangi Thiagarajan; Indresh Singh; Manolito Torralba; Shibu Yooseph; Yu-Hui Rogers; Eoin L. Brodie; Karen E. Nelson; Zhiheng Pei


Genomic and Personalized MedicineVolumes I & II | 2009

CHAPTER 7 – DNA Sequencing for the Detection of Human Genome Variation and Polymorphism

Samuel Levy; Yu-Hui Rogers

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Granger Sutton

J. Craig Venter Institute

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Karen Beeson

J. Craig Venter Institute

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Samuel Levy

J. Craig Venter Institute

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Shibu Yooseph

J. Craig Venter Institute

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Douglas B. Rusch

Indiana University Bloomington

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J. Craig Venter

J. Craig Venter Institute

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Robert L. Strausberg

Ludwig Institute for Cancer Research

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