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Dive into the research topics where W. Richard McCombie is active.

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Featured researches published by W. Richard McCombie.


Nature | 2011

Tumour evolution inferred by single-cell sequencing

Nicholas Navin; Jude Kendall; Jennifer Troge; Peter Andrews; Linda Rodgers; Jeanne McIndoo; Kerry Cook; Asya Stepansky; Dan Levy; Diane Esposito; Lakshmi Muthuswamy; Alexander Krasnitz; W. Richard McCombie; James Hicks; Michael Wigler

Genomic analysis provides insights into the role of copy number variation in disease, but most methods are not designed to resolve mixed populations of cells. In tumours, where genetic heterogeneity is common, very important information may be lost that would be useful for reconstructing evolutionary history. Here we show that with flow-sorted nuclei, whole genome amplification and next generation sequencing we can accurately quantify genomic copy number within an individual nucleus. We apply single-nucleus sequencing to investigate tumour population structure and evolution in two human breast cancer cases. Analysis of 100 single cells from a polygenomic tumour revealed three distinct clonal subpopulations that probably represent sequential clonal expansions. Additional analysis of 100 single cells from a monogenomic primary tumour and its liver metastasis indicated that a single clonal expansion formed the primary tumour and seeded the metastasis. In both primary tumours, we also identified an unexpectedly abundant subpopulation of genetically diverse ‘pseudodiploid’ cells that do not travel to the metastatic site. In contrast to gradual models of tumour progression, our data indicate that tumours grow by punctuated clonal expansions with few persistent intermediates.


Nature | 2004

Role of transposable elements in heterochromatin and epigenetic control

Zachary Lippman; Anne Valérie Gendrel; Michael Black; Matthew W. Vaughn; Neilay Dedhia; W. Richard McCombie; Kimberly Lavine; Vivek Mittal; Bruce May; Kristin B. Kasschau; James C. Carrington; R. W. Doerge; Vincent Colot; Robert A. Martienssen

Heterochromatin has been defined as deeply staining chromosomal material that remains condensed in interphase, whereas euchromatin undergoes de-condensation. Heterochromatin is found near centromeres and telomeres, but interstitial sites of heterochromatin (knobs) are common in plant genomes and were first described in maize. These regions are repetitive and late-replicating. In Drosophila, heterochromatin influences gene expression, a heterochromatin phenomenon called position effect variegation. Similarities between position effect variegation in Drosophila and gene silencing in maize mediated by “controlling elements” (that is, transposable elements) led in part to the proposal that heterochromatin is composed of transposable elements, and that such elements scattered throughout the genome might regulate development. Using microarray analysis, we show that heterochromatin in Arabidopsis is determined by transposable elements and related tandem repeats, under the control of the chromatin remodelling ATPase DDM1 (Decrease in DNA Methylation 1). Small interfering RNAs (siRNAs) correspond to these sequences, suggesting a role in guiding DDM1. We also show that transposable elements can regulate genes epigenetically, but only when inserted within or very close to them. This probably accounts for the regulation by DDM1 and the DNA methyltransferase MET1 of the euchromatic, imprinted gene FWA, as its promoter is provided by transposable-element-derived tandem repeats that are associated with siRNAs.


Nature Reviews Genetics | 2016

Coming of age: ten years of next-generation sequencing technologies

Sara Goodwin; John D. McPherson; W. Richard McCombie

Since the completion of the human genome project in 2003, extraordinary progress has been made in genome sequencing technologies, which has led to a decreased cost per megabase and an increase in the number and diversity of sequenced genomes. An astonishing complexity of genome architecture has been revealed, bringing these sequencing technologies to even greater advancements. Some approaches maximize the number of bases sequenced in the least amount of time, generating a wealth of data that can be used to understand increasingly complex phenotypes. Alternatively, other approaches now aim to sequence longer contiguous pieces of DNA, which are essential for resolving structurally complex regions. These and other strategies are providing researchers and clinicians a variety of tools to probe genomes in greater depth, leading to an enhanced understanding of how genome sequence variants underlie phenotype and disease.


Nature | 2014

The contribution of de novo coding mutations to autism spectrum disorder

Ivan Iossifov; Brian J. O'Roak; Stephan J. Sanders; Michael Ronemus; Niklas Krumm; Dan Levy; Holly A.F. Stessman; Kali Witherspoon; Laura Vives; Karynne E. Patterson; Joshua D. Smith; Bryan W. Paeper; Deborah A. Nickerson; Jeanselle Dea; Shan Dong; Luis E. Gonzalez; Jeffrey D. Mandell; Shrikant Mane; Catherine Sullivan; Michael F. Walker; Zainulabedin Waqar; Liping Wei; A. Jeremy Willsey; Boris Yamrom; Yoon Lee; Ewa Grabowska; Ertugrul Dalkic; Zihua Wang; Steven Marks; Peter Andrews

Whole exome sequencing has proven to be a powerful tool for understanding the genetic architecture of human disease. Here we apply it to more than 2,500 simplex families, each having a child with an autistic spectrum disorder. By comparing affected to unaffected siblings, we show that 13% of de novo missense mutations and 43% of de novo likely gene-disrupting (LGD) mutations contribute to 12% and 9% of diagnoses, respectively. Including copy number variants, coding de novo mutations contribute to about 30% of all simplex and 45% of female diagnoses. Almost all LGD mutations occur opposite wild-type alleles. LGD targets in affected females significantly overlap the targets in males of lower intelligence quotient (IQ), but neither overlaps significantly with targets in males of higher IQ. We estimate that LGD mutation in about 400 genes can contribute to the joint class of affected females and males of lower IQ, with an overlapping and similar number of genes vulnerable to contributory missense mutation. LGD targets in the joint class overlap with published targets for intellectual disability and schizophrenia, and are enriched for chromatin modifiers, FMRP-associated genes and embryonically expressed genes. Most of the significance for the latter comes from affected females.


Nature | 2012

Analysis of the bread wheat genome using whole-genome shotgun sequencing

Rachel Brenchley; Manuel Spannagl; Matthias Pfeifer; Gary L. A. Barker; Rosalinda D’Amore; Alexandra M. Allen; Neil McKenzie; Melissa Kramer; Arnaud Kerhornou; Dan Bolser; Suzanne Kay; Darren Waite; Martin Trick; Ian Bancroft; Yong Gu; Naxin Huo; Ming-Cheng Luo; Sunish K. Sehgal; Bikram S. Gill; Sharyar Kianian; Olin D. Anderson; Paul J. Kersey; Jan Dvorak; W. Richard McCombie; Anthony Hall; Klaus F. X. Mayer; Keith J. Edwards; Michael W. Bevan; Neil Hall

Bread wheat (Triticum aestivum) is a globally important crop, accounting for 20 per cent of the calories consumed by humans. Major efforts are underway worldwide to increase wheat production by extending genetic diversity and analysing key traits, and genomic resources can accelerate progress. But so far the very large size and polyploid complexity of the bread wheat genome have been substantial barriers to genome analysis. Here we report the sequencing of its large, 17-gigabase-pair, hexaploid genome using 454 pyrosequencing, and comparison of this with the sequences of diploid ancestral and progenitor genomes. We identified between 94,000 and 96,000 genes, and assigned two-thirds to the three component genomes (A, B and D) of hexaploid wheat. High-resolution synteny maps identified many small disruptions to conserved gene order. We show that the hexaploid genome is highly dynamic, with significant loss of gene family members on polyploidization and domestication, and an abundance of gene fragments. Several classes of genes involved in energy harvesting, metabolism and growth are among expanded gene families that could be associated with crop productivity. Our analyses, coupled with the identification of extensive genetic variation, provide a resource for accelerating gene discovery and improving this major crop.


Nature Genetics | 2007

Genome-wide in situ exon capture for selective resequencing

Emily Hodges; Zhenyu Xuan; Vivekanand Balija; Melissa Kramer; Michael Molla; Steven Smith; Christina Middle; Matthew Rodesch; Thomas J. Albert; Gregory J. Hannon; W. Richard McCombie

Increasingly powerful sequencing technologies are ushering in an era of personal genome sequences and raising the possibility of using such information to guide medical decisions. Genome resequencing also promises to accelerate the identification of disease-associated mutations. Roughly 98% of the human genome is composed of repeats and intergenic or non–protein-coding sequences. Thus, it is crucial to focus resequencing on high-value genomic regions. Protein-coding exons represent one such type of high-value target. We have developed a method of using flexible, high-density microarrays to capture any desired fraction of the human genome, in this case corresponding to more than 200,000 protein-coding exons. Depending on the precise protocol, up to 55–85% of the captured fragments are associated with targeted regions and up to 98% of intended exons can be recovered. This methodology provides an adaptable route toward rapid and efficient resequencing of any sizeable, non-repeat portion of the human genome.


Nature Biotechnology | 2012

Hybrid error correction and de novo assembly of single-molecule sequencing reads

Sergey Koren; Michael C. Schatz; Brian Walenz; Jeffrey Martin; Jason T. Howard; Ganeshkumar Ganapathy; Zhong Wang; David A. Rasko; W. Richard McCombie; Erich D. Jarvis; Adam M. Phillippy

Single-molecule sequencing instruments can generate multikilobase sequences with the potential to greatly improve genome and transcriptome assembly. However, the error rates of single-molecule reads are high, which has limited their use thus far to resequencing bacteria. To address this limitation, we introduce a correction algorithm and assembly strategy that uses short, high-fidelity sequences to correct the error in single-molecule sequences. We demonstrate the utility of this approach on reads generated by a PacBio RS instrument from phage, prokaryotic and eukaryotic whole genomes, including the previously unsequenced genome of the parrot Melopsittacus undulatus, as well as for RNA-Seq reads of the corn (Zea mays) transcriptome. Our long-read correction achieves >99.9% base-call accuracy, leading to substantially better assemblies than current sequencing strategies: in the best example, the median contig size was quintupled relative to high-coverage, second-generation assemblies. Greater gains are predicted if read lengths continue to increase, including the prospect of single-contig bacterial chromosome assembly.


Rice | 2013

Improvement of the Oryza sativa Nipponbare reference genome using next generation sequence and optical map data

Yoshihiro Kawahara; Melissa de la Bastide; John P. Hamilton; Hiroyuki Kanamori; W. Richard McCombie; Shu Ouyang; David C. Schwartz; Tsuyoshi Tanaka; Jianzhong Wu; Shiguo Zhou; Kevin L. Childs; Rebecca M. Davidson; Haining Lin; L. M. Quesada-Ocampo; Brieanne Vaillancourt; Hiroaki Sakai; Sung Shin Lee; Jungsok Kim; Hisataka Numa; Takeshi Itoh; C. Robin Buell; Takashi Matsumoto

BackgroundRice research has been enabled by access to the high quality reference genome sequence generated in 2005 by the International Rice Genome Sequencing Project (IRGSP). To further facilitate genomic-enabled research, we have updated and validated the genome assembly and sequence for the Nipponbare cultivar of Oryza sativa (japonica group).ResultsThe Nipponbare genome assembly was updated by revising and validating the minimal tiling path of clones with the optical map for rice. Sequencing errors in the revised genome assembly were identified by re-sequencing the genome of two different Nipponbare individuals using the Illumina Genome Analyzer II/IIx platform. A total of 4,886 sequencing errors were identified in 321 Mb of the assembled genome indicating an error rate in the original IRGSP assembly of only 0.15 per 10,000 nucleotides. A small number (five) of insertions/deletions were identified using longer reads generated using the Roche 454 pyrosequencing platform. As the re-sequencing data were generated from two different individuals, we were able to identify a number of allelic differences between the original individual used in the IRGSP effort and the two individuals used in the re-sequencing effort. The revised assembly, termed Os-Nipponbare-Reference-IRGSP-1.0, is now being used in updated releases of the Rice Annotation Project and the Michigan State University Rice Genome Annotation Project, thereby providing a unified set of pseudomolecules for the rice community.ConclusionsA revised, error-corrected, and validated assembly of the Nipponbare cultivar of rice was generated using optical map data, re-sequencing data, and manual curation that will facilitate on-going and future research in rice. Detection of polymorphisms between three different Nipponbare individuals highlights that allelic differences between individuals should be considered in diversity studies.


Nature Genetics | 2011

The genome of Theobroma cacao

Xavier Argout; Jérôme Salse; Jean-Marc Aury; Mark J. Guiltinan; Gaëtan Droc; Jérôme Gouzy; Mathilde Allègre; Cristian Chaparro; Thierry Legavre; Siela N. Maximova; Michael Abrouk; Florent Murat; Olivier Fouet; Julie Poulain; Manuel Ruiz; Yolande Roguet; Maguy Rodier-Goud; Jose Fernandes Barbosa-Neto; François Sabot; Dave Kudrna; Jetty S. S. Ammiraju; Stephan C. Schuster; John E. Carlson; Erika Sallet; Thomas Schiex; Anne Dievart; Melissa Kramer; Laura Gelley; Zi Shi; Aurélie Bérard

We sequenced and assembled the draft genome of Theobroma cacao, an economically important tropical-fruit tree crop that is the source of chocolate. This assembly corresponds to 76% of the estimated genome size and contains almost all previously described genes, with 82% of these genes anchored on the 10 T. cacao chromosomes. Analysis of this sequence information highlighted specific expansion of some gene families during evolution, for example, flavonoid-related genes. It also provides a major source of candidate genes for T. cacao improvement. Based on the inferred paleohistory of the T. cacao genome, we propose an evolutionary scenario whereby the ten T. cacao chromosomes were shaped from an ancestor through eleven chromosome fusions.


PLOS Biology | 2007

Epigenetic natural variation in Arabidopsis thaliana

Matthew W. Vaughn; Miloš Tanurdžić; Zachary Lippman; Hongmei Jiang; Robert Carrasquillo; Pablo D. Rabinowicz; Neilay Dedhia; W. Richard McCombie; Nicolas Agier; Agnès Bulski; Vincent Colot; R. W. Doerge; Robert A. Martienssen

Cytosine methylation of repetitive sequences is widespread in plant genomes, occurring in both symmetric (CpG and CpNpG) as well as asymmetric sequence contexts. We used the methylation-dependent restriction enzyme McrBC to profile methylated DNA using tiling microarrays of Arabidopsis Chromosome 4 in two distinct ecotypes, Columbia and Landsberg erecta. We also used comparative genome hybridization to profile copy number polymorphisms. Repeated sequences and transposable elements (TEs), especially long terminal repeat retrotransposons, are densely methylated, but one third of genes also have low but detectable methylation in their transcribed regions. While TEs are almost always methylated, genic methylation is highly polymorphic, with half of all methylated genes being methylated in only one of the two ecotypes. A survey of loci in 96 Arabidopsis accessions revealed a similar degree of methylation polymorphism. Within-gene methylation is heritable, but is lost at a high frequency in segregating F 2 families. Promoter methylation is rare, and gene expression is not generally affected by differences in DNA methylation. Small interfering RNA are preferentially associated with methylated TEs, but not with methylated genes, indicating that most genic methylation is not guided by small interfering RNA. This may account for the instability of gene methylation, if occasional failure of maintenance methylation cannot be restored by other means.

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Robert A. Martienssen

Cold Spring Harbor Laboratory

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Melissa Kramer

Cold Spring Harbor Laboratory

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Elaine R. Mardis

Nationwide Children's Hospital

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James Gurtowski

Cold Spring Harbor Laboratory

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Jennifer Parla

Cold Spring Harbor Laboratory

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Sara Goodwin

Cold Spring Harbor Laboratory

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Doreen Ware

Cold Spring Harbor Laboratory

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