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Dive into the research topics where Kim C. Worley is active.

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Featured researches published by Kim C. Worley.


Proceedings of the National Academy of Sciences of the United States of America | 2002

Generation and initial analysis of more than 15,000 full-length human and mouse cDNA sequences.

Robert L. Strausberg; Elise A. Feingold; Lynette H. Grouse; Jeffery G. Derge; Richard D. Klausner; Francis S. Collins; Lukas Wagner; Carolyn M. Shenmen; Gregory D. Schuler; Stephen F. Altschul; Barry R. Zeeberg; Kenneth H. Buetow; Carl F. Schaefer; Narayan K. Bhat; Ralph F. Hopkins; Heather Jordan; Troy Moore; Steve I. Max; Jun Wang; Florence Hsieh; Luda Diatchenko; Kate Marusina; Andrew A. Farmer; Gerald M. Rubin; Ling Hong; Mark Stapleton; M. Bento Soares; Maria F. Bonaldo; Tom L. Casavant; Todd E. Scheetz

The National Institutes of Health Mammalian Gene Collection (MGC) Program is a multiinstitutional effort to identify and sequence a cDNA clone containing a complete ORF for each human and mouse gene. ESTs were generated from libraries enriched for full-length cDNAs and analyzed to identify candidate full-ORF clones, which then were sequenced to high accuracy. The MGC has currently sequenced and verified the full ORF for a nonredundant set of >9,000 human and >6,000 mouse genes. Candidate full-ORF clones for an additional 7,800 human and 3,500 mouse genes also have been identified. All MGC sequences and clones are available without restriction through public databases and clone distribution networks (see http://mgc.nci.nih.gov).


Science | 2009

The Genome Sequence of Taurine Cattle : A Window to Ruminant Biology and Evolution

Christine G. Elsik; Ross L. Tellam; Kim C. Worley

A survey of genetic diversity of cattle suggests two domestication events in Asia and selection by husbandry. Not Just Dinner on Legs Several thousand years ago, human beings realized the virtues of domesticating wild animals as easy meat. Soon other possibilities became apparent, and as revealed in a series of papers in this issue, early pastoralists became selective about breeding for wool, leather, milk, and muscle power. In two papers, Gibbs et al. report on the bovine genome sequence (p. 522; see the cover, the Perspective by Lewin, and the Policy Forum by Roberts) and trace the diversity and genetic history of cattle (p. 528), while Chessa et al. (p. 532) survey the occurrence of endogenous retroviruses in sheep and map their distribution to historical waves of human selection and dispersal across Europe. Finally, Ludwig et al. (p. 485) note the origins of variation in the coat-color of horses and suggest that it is most likely to have been selected for by humans in need of good-looking transport. To understand the biology and evolution of ruminants, the cattle genome was sequenced to about sevenfold coverage. The cattle genome contains a minimum of 22,000 genes, with a core set of 14,345 orthologs shared among seven mammalian species of which 1217 are absent or undetected in noneutherian (marsupial or monotreme) genomes. Cattle-specific evolutionary breakpoint regions in chromosomes have a higher density of segmental duplications, enrichment of repetitive elements, and species-specific variations in genes associated with lactation and immune responsiveness. Genes involved in metabolism are generally highly conserved, although five metabolic genes are deleted or extensively diverged from their human orthologs. The cattle genome sequence thus provides a resource for understanding mammalian evolution and accelerating livestock genetic improvement for milk and meat production.


Nature | 2012

The Drosophila melanogaster Genetic Reference Panel

Trudy F. C. Mackay; Stephen Richards; Eric A. Stone; Antonio Barbadilla; Julien F. Ayroles; Dianhui Zhu; Sònia Casillas; Yi Han; Michael M. Magwire; Julie M. Cridland; Mark F. Richardson; Robert R. H. Anholt; Maite Barrón; Crystal Bess; Kerstin P. Blankenburg; Mary Anna Carbone; David Castellano; Lesley S. Chaboub; Laura H. Duncan; Zeke Harris; Mehwish Javaid; Joy Jayaseelan; Shalini N. Jhangiani; Katherine W. Jordan; Fremiet Lara; Faye Lawrence; Sandra L. Lee; Pablo Librado; Raquel S. Linheiro; Richard F. Lyman

A major challenge of biology is understanding the relationship between molecular genetic variation and variation in quantitative traits, including fitness. This relationship determines our ability to predict phenotypes from genotypes and to understand how evolutionary forces shape variation within and between species. Previous efforts to dissect the genotype–phenotype map were based on incomplete genotypic information. Here, we describe the Drosophila melanogaster Genetic Reference Panel (DGRP), a community resource for analysis of population genomics and quantitative traits. The DGRP consists of fully sequenced inbred lines derived from a natural population. Population genomic analyses reveal reduced polymorphism in centromeric autosomal regions and the X chromosome, evidence for positive and negative selection, and rapid evolution of the X chromosome. Many variants in novel genes, most at low frequency, are associated with quantitative traits and explain a large fraction of the phenotypic variance. The DGRP facilitates genotype–phenotype mapping using the power of Drosophila genetics.


Nature | 2011

A high-resolution map of human evolutionary constraint using 29 mammals

Kerstin Lindblad-Toh; Manuel Garber; Or Zuk; Michael F. Lin; Brian J. Parker; Stefan Washietl; Pouya Kheradpour; Jason Ernst; Gregory Jordan; Evan Mauceli; Lucas D. Ward; Craig B. Lowe; Alisha K. Holloway; Michele Clamp; Sante Gnerre; Jessica Alföldi; Kathryn Beal; Jean Chang; Hiram Clawson; James Cuff; Federica Di Palma; Stephen Fitzgerald; Paul Flicek; Mitchell Guttman; Melissa J. Hubisz; David B. Jaffe; Irwin Jungreis; W. James Kent; Dennis Kostka; Marcia Lara

The comparison of related genomes has emerged as a powerful lens for genome interpretation. Here we report the sequencing and comparative analysis of 29 eutherian genomes. We confirm that at least 5.5% of the human genome has undergone purifying selection, and locate constrained elements covering ∼4.2% of the genome. We use evolutionary signatures and comparisons with experimental data sets to suggest candidate functions for ∼60% of constrained bases. These elements reveal a small number of new coding exons, candidate stop codon readthrough events and over 10,000 regions of overlapping synonymous constraint within protein-coding exons. We find 220 candidate RNA structural families, and nearly a million elements overlapping potential promoter, enhancer and insulator regions. We report specific amino acid residues that have undergone positive selection, 280,000 non-coding elements exapted from mobile elements and more than 1,000 primate- and human-accelerated elements. Overlap with disease-associated variants indicates that our findings will be relevant for studies of human biology, health and disease.


Nature | 2012

Butterfly genome reveals promiscuous exchange of mimicry adaptations among species

Kanchon K. Dasmahapatra; James R. Walters; Adriana D. Briscoe; John W. Davey; Annabel Whibley; Nicola J. Nadeau; Aleksey V. Zimin; Daniel S.T. Hughes; Laura Ferguson; Simon H. Martin; Camilo Salazar; James J. Lewis; Sebastian Adler; Seung-Joon Ahn; Dean A. Baker; Simon W. Baxter; Nicola Chamberlain; Ritika Chauhan; Brian A. Counterman; Tamas Dalmay; Lawrence E. Gilbert; Karl H.J. Gordon; David G. Heckel; Heather M. Hines; Katharina Hoff; Peter W. H. Holland; Emmanuelle Jacquin-Joly; Francis M. Jiggins; Robert T. Jones; Durrell D. Kapan

The evolutionary importance of hybridization and introgression has long been debated. Hybrids are usually rare and unfit, but even infrequent hybridization can aid adaptation by transferring beneficial traits between species. Here we use genomic tools to investigate introgression in Heliconius, a rapidly radiating genus of neotropical butterflies widely used in studies of ecology, behaviour, mimicry and speciation. We sequenced the genome of Heliconius melpomene and compared it with other taxa to investigate chromosomal evolution in Lepidoptera and gene flow among multiple Heliconius species and races. Among 12,669 predicted genes, biologically important expansions of families of chemosensory and Hox genes are particularly noteworthy. Chromosomal organization has remained broadly conserved since the Cretaceous period, when butterflies split from the Bombyx (silkmoth) lineage. Using genomic resequencing, we show hybrid exchange of genes between three co-mimics, Heliconius melpomene, Heliconius timareta and Heliconius elevatus, especially at two genomic regions that control mimicry pattern. We infer that closely related Heliconius species exchange protective colour-pattern genes promiscuously, implying that hybridization has an important role in adaptive radiation.


Science | 2010

A catalog of reference genomes from the human microbiome.

Karen E. Nelson; George M. Weinstock; Sarah K. Highlander; Kim C. Worley; Heather Huot Creasy; Jennifer R. Wortman; Douglas B. Rusch; Makedonka Mitreva; Erica Sodergren; Asif T. Chinwalla; Michael Feldgarden; Dirk Gevers; Brian J. Haas; Ramana Madupu; Doyle V. Ward; Bruce Birren; Richard A. Gibbs; Barbara A. Methé; Joseph F. Petrosino; Robert L. Strausberg; Granger Sutton; Owen White; Richard Wilson; Scott Durkin; Michelle G. Giglio; Sharvari Gujja; Clint Howarth; Chinnappa D. Kodira; Nikos C. Kyrpides; Teena Mehta

News from the Inner Tube of Life A major initiative by the U.S. National Institutes of Health to sequence 900 genomes of microorganisms that live on the surfaces and orifices of the human body has established standardized protocols and methods for such large-scale reference sequencing. By combining previously accumulated data with new data, Nelson et al. (p. 994) present an initial analysis of 178 bacterial genomes. The sampling so far barely scratches the surface of the microbial diversity found on humans, but the work provides an important baseline for future analyses. Standardized protocols and methods are being established for large-scale sequencing of the microorganisms living on humans. The human microbiome refers to the community of microorganisms, including prokaryotes, viruses, and microbial eukaryotes, that populate the human body. The National Institutes of Health launched an initiative that focuses on describing the diversity of microbial species that are associated with health and disease. The first phase of this initiative includes the sequencing of hundreds of microbial reference genomes, coupled to metagenomic sequencing from multiple body sites. Here we present results from an initial reference genome sequencing of 178 microbial genomes. From 547,968 predicted polypeptides that correspond to the gene complement of these strains, previously unidentified (“novel”) polypeptides that had both unmasked sequence length greater than 100 amino acids and no BLASTP match to any nonreference entry in the nonredundant subset were defined. This analysis resulted in a set of 30,867 polypeptides, of which 29,987 (~97%) were unique. In addition, this set of microbial genomes allows for ~40% of random sequences from the microbiome of the gastrointestinal tract to be associated with organisms based on the match criteria used. Insights into pan-genome analysis suggest that we are still far from saturating microbial species genetic data sets. In addition, the associated metrics and standards used by our group for quality assurance are presented.


Nature | 2011

Comparative and demographic analysis of orang-utan genomes

Devin P. Locke; LaDeana W. Hillier; Wesley C. Warren; Kim C. Worley; Lynne V. Nazareth; Donna M. Muzny; Shiaw-Pyng Yang; Zhengyuan Wang; Asif T. Chinwalla; Patrick Minx; Makedonka Mitreva; Lisa Cook; Kim D. Delehaunty; Catrina C. Fronick; Heather K. Schmidt; Lucinda A. Fulton; Robert S. Fulton; Joanne O. Nelson; Vincent Magrini; Craig S. Pohl; Tina Graves; Chris Markovic; Andy Cree; Huyen Dinh; Jennifer Hume; Christie Kovar; Gerald Fowler; Gerton Lunter; Stephen Meader; Andreas Heger

‘Orang-utan’ is derived from a Malay term meaning ‘man of the forest’ and aptly describes the southeast Asian great apes native to Sumatra and Borneo. The orang-utan species, Pongo abelii (Sumatran) and Pongo pygmaeus (Bornean), are the most phylogenetically distant great apes from humans, thereby providing an informative perspective on hominid evolution. Here we present a Sumatran orang-utan draft genome assembly and short read sequence data from five Sumatran and five Bornean orang-utan genomes. Our analyses reveal that, compared to other primates, the orang-utan genome has many unique features. Structural evolution of the orang-utan genome has proceeded much more slowly than other great apes, evidenced by fewer rearrangements, less segmental duplication, a lower rate of gene family turnover and surprisingly quiescent Alu repeats, which have played a major role in restructuring other primate genomes. We also describe a primate polymorphic neocentromere, found in both Pongo species, emphasizing the gradual evolution of orang-utan genome structure. Orang-utans have extremely low energy usage for a eutherian mammal, far lower than their hominid relatives. Adding their genome to the repertoire of sequenced primates illuminates new signals of positive selection in several pathways including glycolipid metabolism. From the population perspective, both Pongo species are deeply diverse; however, Sumatran individuals possess greater diversity than their Bornean counterparts, and more species-specific variation. Our estimate of Bornean/Sumatran speciation time, 400,000 years ago, is more recent than most previous studies and underscores the complexity of the orang-utan speciation process. Despite a smaller modern census population size, the Sumatran effective population size (Ne) expanded exponentially relative to the ancestral Ne after the split, while Bornean Ne declined over the same period. Overall, the resources and analyses presented here offer new opportunities in evolutionary genomics, insights into hominid biology, and an extensive database of variation for conservation efforts.


GigaScience | 2013

Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species

Keith Bradnam; Joseph Fass; Anton Alexandrov; Paul Baranay; Michael Bechner; Inanc Birol; Sébastien Boisvert; Jarrod Chapman; Guillaume Chapuis; Rayan Chikhi; Hamidreza Chitsaz; Wen Chi Chou; Jacques Corbeil; Cristian Del Fabbro; Roderick R. Docking; Richard Durbin; Dent Earl; Scott J. Emrich; Pavel Fedotov; Nuno A. Fonseca; Ganeshkumar Ganapathy; Richard A. Gibbs; Sante Gnerre; Élénie Godzaridis; Steve Goldstein; Matthias Haimel; Giles Hall; David Haussler; Joseph Hiatt; Isaac Ho

BackgroundThe process of generating raw genome sequence data continues to become cheaper, faster, and more accurate. However, assembly of such data into high-quality, finished genome sequences remains challenging. Many genome assembly tools are available, but they differ greatly in terms of their performance (speed, scalability, hardware requirements, acceptance of newer read technologies) and in their final output (composition of assembled sequence). More importantly, it remains largely unclear how to best assess the quality of assembled genome sequences. The Assemblathon competitions are intended to assess current state-of-the-art methods in genome assembly.ResultsIn Assemblathon 2, we provided a variety of sequence data to be assembled for three vertebrate species (a bird, a fish, and snake). This resulted in a total of 43 submitted assemblies from 21 participating teams. We evaluated these assemblies using a combination of optical map data, Fosmid sequences, and several statistical methods. From over 100 different metrics, we chose ten key measures by which to assess the overall quality of the assemblies.ConclusionsMany current genome assemblers produced useful assemblies, containing a significant representation of their genes and overall genome structure. However, the high degree of variability between the entries suggests that there is still much room for improvement in the field of genome assembly and that approaches which work well in assembling the genome of one species may not necessarily work well for another.


PLOS ONE | 2012

Mind the Gap: Upgrading Genomes with Pacific Biosciences RS Long-Read Sequencing Technology

Adam C English; Stephen Richards; Yi Han; Min Wang; Vanesa Vee; Jiaxin Qu; Xiang Qin; Donna M. Muzny; Jeffrey G. Reid; Kim C. Worley; Richard A. Gibbs

Many genomes have been sequenced to high-quality draft status using Sanger capillary electrophoresis and/or newer short-read sequence data and whole genome assembly techniques. However, even the best draft genomes contain gaps and other imperfections due to limitations in the input data and the techniques used to build draft assemblies. Sequencing biases, repetitive genomic features, genomic polymorphism, and other complicating factors all come together to make some regions difficult or impossible to assemble. Traditionally, draft genomes were upgraded to “phase 3 finished” status using time-consuming and expensive Sanger-based manual finishing processes. For more facile assembly and automated finishing of draft genomes, we present here an automated approach to finishing using long-reads from the Pacific Biosciences RS (PacBio) platform. Our algorithm and associated software tool, PBJelly, (publicly available at https://sourceforge.net/projects/pb-jelly/) automates the finishing process using long sequence reads in a reference-guided assembly process. PBJelly also provides “lift-over” co-ordinate tables to easily port existing annotations to the upgraded assembly. Using PBJelly and long PacBio reads, we upgraded the draft genome sequences of a simulated Drosophila melanogaster, the version 2 draft Drosophila pseudoobscura, an assembly of the Assemblathon 2.0 budgerigar dataset, and a preliminary assembly of the Sooty mangabey. With 24× mapped coverage of PacBio long-reads, we addressed 99% of gaps and were able to close 69% and improve 12% of all gaps in D. pseudoobscura. With 4× mapped coverage of PacBio long-reads we saw reads address 63% of gaps in our budgerigar assembly, of which 32% were closed and 63% improved. With 6.8× mapped coverage of mangabey PacBio long-reads we addressed 97% of gaps and closed 66% of addressed gaps and improved 19%. The accuracy of gap closure was validated by comparison to Sanger sequencing on gaps from the original D. pseudoobscura draft assembly and shown to be dependent on initial reference quality.


Nature Genetics | 2008

Progress and prospects in rat genetics: a community view

Timothy J. Aitman; John K. Critser; Edwin Cuppen; Anna F. Dominiczak; Xosé M. Fernández-Suárez; Jonathan Flint; Dominique Gauguier; Aron M. Geurts; Michael N. Gould; Peter C. Harris; Rikard Holmdahl; Norbert Hubner; Zsuzsanna Izsvák; Howard J. Jacob; Takashi Kuramoto; Anne E. Kwitek; Anna Marrone; Tomoji Mashimo; Carol Moreno; John J. Mullins; Linda J. Mullins; Tomas Olsson; Michal Pravenec; Lela K. Riley; Kathrin Saar; Tadao Serikawa; James D Shull; Claude Szpirer; Simon N. Twigger; Birger Voigt

The rat is an important system for modeling human disease. Four years ago, the rich 150-year history of rat research was transformed by the sequencing of the rat genome, ushering in an era of exceptional opportunity for identifying genes and pathways underlying disease phenotypes. Genome-wide association studies in human populations have recently provided a direct approach for finding robust genetic associations in common diseases, but identifying the precise genes and their mechanisms of action remains problematic. In the context of significant progress in rat genomic resources over the past decade, we outline achievements in rat gene discovery to date, show how these findings have been translated to human disease, and document an increasing pace of discovery of new disease genes, pathways and mechanisms. Finally, we present a set of principles that justify continuing and strengthening genetic studies in the rat model, and further development of genomic infrastructure for rat research.

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Richard A. Gibbs

Baylor College of Medicine

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Donna M. Muzny

Baylor College of Medicine

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Yi Han

Baylor College of Medicine

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Huyen Dinh

Baylor College of Medicine

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Shannon Dugan

Baylor College of Medicine

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Hsu Chao

Baylor College of Medicine

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Stephen Richards

Baylor College of Medicine

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Jiaxin Qu

Baylor College of Medicine

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