Matthew Boitano
Pacific Biosciences
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Publication
Featured researches published by Matthew Boitano.
Science Translational Medicine | 2014
Sean Conlan; Pamela J. Thomas; Clayton Deming; Morgan Park; Anna F. Lau; John P. Dekker; Evan S. Snitkin; Tyson A. Clark; Khai Luong; Yi Song; Yu-Chih Tsai; Matthew Boitano; Jyoti G. Dayal; Shelise Brooks; Brian Schmidt; Alice C. Young; James W. Thomas; Gerard G. Bouffard; Robert W. Blakesley; Nisc Comparative Sequencing Program; James C. Mullikin; Jonas Korlach; David K. Henderson; Karen M. Frank; Tara N. Palmore; Julia A. Segre
Single-molecule sequencing of bacteria at the NIH Clinical Center documents diverse plasmids encoding antibiotic resistance and their transfer between microbes. How Antibiotic Resistance Spreads Among Bacteria Antibiotic-resistant microbes are spreading at an alarming rate in health care facilities throughout the world. Conlan et al. use a new DNA sequencing method to take a close look at one way in which antibiotic resistance spreads. With single-molecule sequencing, the authors completely characterized individual plasmids, the circular bits of DNA that carry the genes for antibiotic resistance in bacteria. They focused on resistance to the carbapenems, a class of antibiotics that is often used for infections that do not respond to more conventional antimicrobial agents. By using this approach in their microbial surveillance program at the NIH Clinical Center, the authors found evidence that plasmids carrying carbapenemase genes moved from one microbial species to another within the hospital environment. They also used the technique to test hypotheses about patient-to-patient transmission and to characterize a previously undescribed carbapenemase-encoding plasmid carried by diverse bacterial species that could cause dangerous clinical infections. Public health officials have raised concerns that plasmid transfer between Enterobacteriaceae species may spread resistance to carbapenems, an antibiotic class of last resort, thereby rendering common health care–associated infections nearly impossible to treat. To determine the diversity of carbapenemase-encoding plasmids and assess their mobility among bacterial species, we performed comprehensive surveillance and genomic sequencing of carbapenem-resistant Enterobacteriaceae in the National Institutes of Health (NIH) Clinical Center patient population and hospital environment. We isolated a repertoire of carbapenemase-encoding Enterobacteriaceae, including multiple strains of Klebsiella pneumoniae, Klebsiella oxytoca, Escherichia coli, Enterobacter cloacae, Citrobacter freundii, and Pantoea species. Long-read genome sequencing with full end-to-end assembly revealed that these organisms carry the carbapenem resistance genes on a wide array of plasmids. K. pneumoniae and E. cloacae isolated simultaneously from a single patient harbored two different carbapenemase-encoding plasmids, indicating that plasmid transfer between organisms was unlikely within this patient. We did, however, find evidence of horizontal transfer of carbapenemase-encoding plasmids between K. pneumoniae, E. cloacae, and C. freundii in the hospital environment. Our data, including full plasmid identification, challenge assumptions about horizontal gene transfer events within patients and identify possible connections between patients and the hospital environment. In addition, we identified a new carbapenemase-encoding plasmid of potentially high clinical impact carried by K. pneumoniae, E. coli, E. cloacae, and Pantoea species, in unrelated patients and in the hospital environment.
Nucleic Acids Research | 2012
Iain A. Murray; Tyson A. Clark; Richard D. Morgan; Matthew Boitano; Brian P. Anton; Khai Luong; Alexey Fomenkov; Stephen W. Turner; Jonas Korlach; Richard J. Roberts
Six bacterial genomes, Geobacter metallireducens GS-15, Chromohalobacter salexigens, Vibrio breoganii 1C-10, Bacillus cereus ATCC 10987, Campylobacter jejuni subsp. jejuni 81-176 and C. jejuni NCTC 11168, all of which had previously been sequenced using other platforms were re-sequenced using single-molecule, real-time (SMRT) sequencing specifically to analyze their methylomes. In every case a number of new N6-methyladenine (m6A) and N4-methylcytosine (m4C) methylation patterns were discovered and the DNA methyltransferases (MTases) responsible for those methylation patterns were assigned. In 15 cases, it was possible to match MTase genes with MTase recognition sequences without further sub-cloning. Two Type I restriction systems required sub-cloning to differentiate their recognition sequences, while four MTase genes that were not expressed in the native organism were sub-cloned to test for viability and recognition sequences. Two of these proved active. No attempt was made to detect 5-methylcytosine (m5C) recognition motifs from the SMRT® sequencing data because this modification produces weaker signals using current methods. However, all predicted m6A and m4C MTases were detected unambiguously. This study shows that the addition of SMRT sequencing to traditional sequencing approaches gives a wealth of useful functional information about a genome showing not only which MTase genes are active but also revealing their recognition sequences.
Nucleic Acids Research | 2012
Tyson A. Clark; Iain A. Murray; Richard D. Morgan; Andrey Kislyuk; Kristi Spittle; Matthew Boitano; Alexey Fomenkov; Richard J. Roberts; Jonas Korlach
DNA methylation is the most common form of DNA modification in prokaryotic and eukaryotic genomes. We have applied the method of single-molecule, real-time (SMRT®) DNA sequencing that is capable of direct detection of modified bases at single-nucleotide resolution to characterize the specificity of several bacterial DNA methyltransferases (MTases). In addition to previously described SMRT sequencing of N6-methyladenine and 5-methylcytosine, we show that N4-methylcytosine also has a specific kinetic signature and is therefore identifiable using this approach. We demonstrate for all three prokaryotic methylation types that SMRT sequencing confirms the identity and position of the methylated base in cases where the MTase specificity was previously established by other methods. We then applied the method to determine the sequence context and methylated base identity for three MTases with unknown specificities. In addition, we also find evidence of unanticipated MTase promiscuity with some enzymes apparently also modifying sequences that are related, but not identical, to the cognate site.
Nature Communications | 2014
Ana Sousa Manso; Melissa H. Chai; John M. Atack; Leonardo Furi; Megan De Ste Croix; Richard D. Haigh; Claudia Trappetti; Abiodun D. Ogunniyi; Lucy K. Shewell; Matthew Boitano; Tyson A. Clark; Jonas Korlach; Matthew Blades; Evgeny M. Mirkes; Alexander N. Gorban; James C. Paton; Michael P. Jennings; Marco R. Oggioni
Streptococcus pneumoniae (the pneumococcus) is the world’s foremost bacterial pathogen in both morbidity and mortality. Switching between phenotypic forms (or ‘phases’) that favour asymptomatic carriage or invasive disease was first reported in 1933. Here, we show that the underlying mechanism for such phase variation consists of genetic rearrangements in a Type I restriction-modification system (SpnD39III). The rearrangements generate six alternative specificities with distinct methylation patterns, as defined by single-molecule, real-time (SMRT) methylomics. The SpnD39III variants have distinct gene expression profiles. We demonstrate distinct virulence in experimental infection and in vivo selection for switching between SpnD39III variants. SpnD39III is ubiquitous in pneumococci, indicating an essential role in its biology. Future studies must recognize the potential for switching between these heretofore undetectable, differentiated pneumococcal subpopulations in vitro and in vivo. Similar systems exist in other bacterial genera, indicating the potential for broad exploitation of epigenetic gene regulation.
BMC Biology | 2013
Tyson A. Clark; Xingyu Lu; Khai Luong; Qing Dai; Matthew Boitano; Stephen Turner; Chuan He; Jonas Korlach
BackgroundDNA methylation serves as an important epigenetic mark in both eukaryotic and prokaryotic organisms. In eukaryotes, the most common epigenetic mark is 5-methylcytosine, whereas prokaryotes can have 6-methyladenine, 4-methylcytosine, or 5-methylcytosine. Single-molecule, real-time sequencing is capable of directly detecting all three types of modified bases. However, the kinetic signature of 5-methylcytosine is subtle, which presents a challenge for detection. We investigated whether conversion of 5-methylcytosine to 5-carboxylcytosine using the enzyme Tet1 would enhance the kinetic signature, thereby improving detection.ResultsWe characterized the kinetic signatures of various cytosine modifications, demonstrating that 5-carboxylcytosine has a larger impact on the local polymerase rate than 5-methylcytosine. Using Tet1-mediated conversion, we show improved detection of 5-methylcytosine using in vitro methylated templates and apply the method to the characterization of 5-methylcytosine sites in the genomes of Escherichia coli MG1655 and Bacillus halodurans C-125.ConclusionsWe have developed a method for the enhancement of directly detecting 5-methylcytosine during single-molecule, real-time sequencing. Using Tet1 to convert 5-methylcytosine to 5-carboxylcytosine improves the detection rate of this important epigenetic marker, thereby complementing the set of readily detectable microbial base modifications, and enhancing the ability to interrogate eukaryotic epigenetic markers.
PLOS Genetics | 2016
Shubha Vij; Heiner Kuhl; Inna S. Kuznetsova; Aleksey Komissarov; Andrey A. Yurchenko; Peter van Heusden; Siddharth Singh; Natascha May Thevasagayam; Sai Rama Sridatta Prakki; Kathiresan Purushothaman; Jolly M. Saju; Junhui Jiang; Stanley Kimbung Mbandi; Mario Jonas; Amy Hin Yan Tong; Sarah Mwangi; Doreen Lau; Si Yan Ngoh; Woei Chang Liew; Xueyan Shen; Lawrence S. Hon; James P Drake; Matthew Boitano; Richard Hall; Chen-Shan Chin; Ramkumar Lachumanan; Jonas Korlach; Vladimir A. Trifonov; Marsel R. Kabilov; Alexey E. Tupikin
We report here the ~670 Mb genome assembly of the Asian seabass (Lates calcarifer), a tropical marine teleost. We used long-read sequencing augmented by transcriptomics, optical and genetic mapping along with shared synteny from closely related fish species to derive a chromosome-level assembly with a contig N50 size over 1 Mb and scaffold N50 size over 25 Mb that span ~90% of the genome. The population structure of L. calcarifer species complex was analyzed by re-sequencing 61 individuals representing various regions across the species’ native range. SNP analyses identified high levels of genetic diversity and confirmed earlier indications of a population stratification comprising three clades with signs of admixture apparent in the South-East Asian population. The quality of the Asian seabass genome assembly far exceeds that of any other fish species, and will serve as a new standard for fish genomics.
Proceedings of the National Academy of Sciences of the United States of America | 2013
Jennifer B. Kozdon; Michael D. Melfi; Khai Luong; Tyson A. Clark; Matthew Boitano; Susana Wang; Bo Zhou; Diego Gonzalez; Justine Collier; Stephen Turner; Jonas Korlach; Lucy Shapiro; Harley H. McAdams
Significance Caulobacter crescentus, a bacterium with an inherent asymmetric cell division, uses dynamic changes in chromosome methylation state to synchronize chromosome replication with cell-cycle regulation. We identified the N6-methyladenine and 5-methylcytosine methylation state of every base pair at five times in the cell cycle to show that 4,515 GANTC sites, recognized by the CcrM methyltransferase, change from full- to hemimethylation upon passage of the replication fork. Significantly, 27 of the GANTC sites are protected from methylation at all times. We also identified four previously unknown methylation motifs and the cognate methyltransferase for two of these motifs. The ability to track the state of the methylome in exquisite temporal detail will be invaluable to investigations of microbial epigenetic regulation. The Caulobacter DNA methyltransferase CcrM is one of five master cell-cycle regulators. CcrM is transiently present near the end of DNA replication when it rapidly methylates the adenine in hemimethylated GANTC sequences. The timing of transcription of two master regulator genes and two cell division genes is controlled by the methylation state of GANTC sites in their promoters. To explore the global extent of this regulatory mechanism, we determined the methylation state of the entire chromosome at every base pair at five time points in the cell cycle using single-molecule, real-time sequencing. The methylation state of 4,515 GANTC sites, preferentially positioned in intergenic regions, changed progressively from full to hemimethylation as the replication forks advanced. However, 27 GANTC sites remained unmethylated throughout the cell cycle, suggesting that these protected sites could participate in epigenetic regulatory functions. An analysis of the time of activation of every cell-cycle regulatory transcription start site, coupled to both the position of a GANTC site in their promoter regions and the time in the cell cycle when the GANTC site transitions from full to hemimethylation, allowed the identification of 59 genes as candidates for epigenetic regulation. In addition, we identified two previously unidentified N6-methyladenine motifs and showed that they maintained a constant methylation state throughout the cell cycle. The cognate methyltransferase was identified for one of these motifs as well as for one of two 5-methylcytosine motifs.
Genome Research | 2017
Valerie Schneider; Tina A. Graves-Lindsay; Kerstin Howe; Nathan Bouk; Hsiu-Chuan Chen; Paul Kitts; Terence Murphy; Kim D. Pruitt; Françoise Thibaud-Nissen; Derek Albracht; Robert S. Fulton; Milinn Kremitzki; Vincent Magrini; Chris Markovic; Sean McGrath; Karyn Meltz Steinberg; Kate Auger; William Chow; Joanna Collins; Glenn Harden; Tim Hubbard; Sarah Pelan; Jared T. Simpson; Glen Threadgold; James Torrance; Jonathan Wood; Laura Clarke; Sergey Koren; Matthew Boitano; Paul Peluso
The human reference genome assembly plays a central role in nearly all aspects of todays basic and clinical research. GRCh38 is the first coordinate-changing assembly update since 2009; it reflects the resolution of roughly 1000 issues and encompasses modifications ranging from thousands of single base changes to megabase-scale path reorganizations, gap closures, and localization of previously orphaned sequences. We developed a new approach to sequence generation for targeted base updates and used data from new genome mapping technologies and single haplotype resources to identify and resolve larger assembly issues. For the first time, the reference assembly contains sequence-based representations for the centromeres. We also expanded the number of alternate loci to create a reference that provides a more robust representation of human population variation. We demonstrate that the updates render the reference an improved annotation substrate, alter read alignments in unchanged regions, and impact variant interpretation at clinically relevant loci. We additionally evaluated a collection of new de novo long-read haploid assemblies and conclude that although the new assemblies compare favorably to the reference with respect to continuity, error rate, and gene completeness, the reference still provides the best representation for complex genomic regions and coding sequences. We assert that the collected updates in GRCh38 make the newer assembly a more robust substrate for comprehensive analyses that will promote our understanding of human biology and advance our efforts to improve health.
Genome Research | 2017
John Huddleston; Mark Chaisson; Karyn Meltz Steinberg; Wes Warren; Kendra Hoekzema; David Gordon; Tina A. Graves-Lindsay; Katherine M. Munson; Zev N. Kronenberg; Laura Vives; Paul Peluso; Matthew Boitano; Chen-Shin Chin; Jonas Korlach; Richard Wilson; Evan E. Eichler
In an effort to more fully understand the full spectrum of human genetic variation, we generated deep single-molecule, real-time (SMRT) sequencing data from two haploid human genomes. By using an assembly-based approach (SMRT-SV), we systematically assessed each genome independently for structural variants (SVs) and indels resolving the sequence structure of 461,553 genetic variants from 2 bp to 28 kbp in length. We find that >89% of these variants have been missed as part of analysis of the 1000 Genomes Project even after adjusting for more common variants (MAF > 1%). We estimate that this theoretical human diploid differs by as much as ∼16 Mbp with respect to the human reference, with long-read sequencing data providing a fivefold increase in sensitivity for genetic variants ranging in size from 7 bp to 1 kbp compared with short-read sequence data. Although a large fraction of genetic variants were not detected by short-read approaches, once the alternate allele is sequence-resolved, we show that 61% of SVs can be genotyped in short-read sequence data sets with high accuracy. Uncoupling discovery from genotyping thus allows for the majority of this missed common variation to be genotyped in the human population. Interestingly, when we repeat SV detection on a pseudodiploid genome constructed in silico by merging the two haploids, we find that ∼59% of the heterozygous SVs are no longer detected by SMRT-SV. These results indicate that haploid resolution of long-read sequencing data will significantly increase sensitivity of SV detection.
Nature Communications | 2015
John M. Atack; Yogitha N. Srikhanta; Kate L. Fox; Joseph A. Jurcisek; Kenneth L. Brockman; Tyson A. Clark; Matthew Boitano; Peter M. Power; Freda E.-C. Jen; Alastair G. McEwan; Sean M. Grimmond; Arnold L. Smith; Stephen J. Barenkamp; Jonas Korlach; Lauren O. Bakaletz; Michael P. Jennings
Non-typeable Haemophilus influenzae contains an N6-adenine DNA-methyltransferase (ModA) that is subject to phase-variable expression (random ON/OFF switching). Five modA alleles, modA2, modA4, modA5, modA9 and modA10, account for over two-thirds of clinical otitis media isolates surveyed. Here, we use single molecule, real-time (SMRT) methylome analysis to identify the DNA-recognition motifs for all five of these modA alleles. Phase variation of these alleles regulates multiple proteins including vaccine candidates, and key virulence phenotypes such as antibiotic resistance (modA2, modA5, modA10), biofilm formation (modA2) and immunoevasion (modA4). Analyses of a modA2 strain in the chinchilla model of otitis media show a clear selection for ON switching of modA2 in the middle ear. Our results indicate that a biphasic epigenetic switch can control bacterial virulence, immunoevasion and niche adaptation in an animal model system.