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Featured researches published by Rama Maiti.


PLOS Genetics | 2008

Genomic Islands in the Pathogenic Filamentous Fungus Aspergillus fumigatus

Natalie D. Fedorova; Nora Khaldi; Vinita Joardar; Rama Maiti; Paolo Amedeo; Michael J. Anderson; Jonathan Crabtree; Joana C. Silva; Jonathan H. Badger; Ahmed Abdulrahman Albarraq; Sam Angiuoli; Howard Bussey; Paul Bowyer; Peter J. Cotty; Paul S. Dyer; Amy Egan; Kevin Galens; Claire M. Fraser-Liggett; Brian J. Haas; Jason M. Inman; Richard Kent; Sébastien Lemieux; Iran Malavazi; Joshua Orvis; Terry Roemer; Catherine M. Ronning; Jaideep Sundaram; Granger Sutton; Geoff Turner; J. Craig Venter

We present the genome sequences of a new clinical isolate of the important human pathogen, Aspergillus fumigatus, A1163, and two closely related but rarely pathogenic species, Neosartorya fischeri NRRL181 and Aspergillus clavatus NRRL1. Comparative genomic analysis of A1163 with the recently sequenced A. fumigatus isolate Af293 has identified core, variable and up to 2% unique genes in each genome. While the core genes are 99.8% identical at the nucleotide level, identity for variable genes can be as low 40%. The most divergent loci appear to contain heterokaryon incompatibility (het) genes associated with fungal programmed cell death such as developmental regulator rosA. Cross-species comparison has revealed that 8.5%, 13.5% and 12.6%, respectively, of A. fumigatus, N. fischeri and A. clavatus genes are species-specific. These genes are significantly smaller in size than core genes, contain fewer exons and exhibit a subtelomeric bias. Most of them cluster together in 13 chromosomal islands, which are enriched for pseudogenes, transposons and other repetitive elements. At least 20% of A. fumigatus-specific genes appear to be functional and involved in carbohydrate and chitin catabolism, transport, detoxification, secondary metabolism and other functions that may facilitate the adaptation to heterogeneous environments such as soil or a mammalian host. Contrary to what was suggested previously, their origin cannot be attributed to horizontal gene transfer (HGT), but instead is likely to involve duplication, diversification and differential gene loss (DDL). The role of duplication in the origin of lineage-specific genes is further underlined by the discovery of genomic islands that seem to function as designated “gene dumps” and, perhaps, simultaneously, as “gene factories”.


The Plant Cell | 2006

Comparative Genomics of Brassica oleracea and Arabidopsis thaliana Reveal Gene Loss, Fragmentation, and Dispersal after Polyploidy

Christopher D. Town; Foo Cheung; Rama Maiti; Jonathan Crabtree; Brian J. Haas; Jennifer R. Wortman; Erin Hine; Ryan Althoff; Tamara S. Arbogast; Luke J. Tallon; Marielle Vigouroux; Martin Trick; Ian Bancroft

We sequenced 2.2 Mb representing triplicated genome segments of Brassica oleracea, which are each paralogous with one another and homologous with a segmentally duplicated region of the Arabidopsis thaliana genome. Sequence annotation identified 177 conserved collinear genes in the B. oleracea genome segments. Analysis of synonymous base substitution rates indicated that the triplicated Brassica genome segments diverged from a common ancestor soon after divergence of the Arabidopsis and Brassica lineages. This conclusion was corroborated by phylogenetic analysis of protein families. Using A. thaliana as an outgroup, 35% of the genes inferred to be present when genome triplication occurred in the Brassica lineage have been lost, most likely via a deletion mechanism, in an interspersed pattern. Genes encoding proteins involved in signal transduction or transcription were not found to be significantly more extensively retained than those encoding proteins classified with other functions, but putative proteins predicted in the A. thaliana genome were underrepresented in B. oleracea. We identified one example of gene loss from the Arabidopsis lineage. We found evidence for the frequent insertion of gene fragments of nuclear genomic origin and identified four apparently intact genes in noncollinear positions in the B. oleracea and A. thaliana genomes.


Plant Physiology | 2005

The Institute for Genomic Research Osa1 Rice Genome Annotation Database

Qiaoping Yuan; Shu Ouyang; Aihui Wang; Wei Zhu; Rama Maiti; Haining Lin; John P. Hamilton; Brian J. Haas; Razvan Sultana; Foo Cheung; Jennifer R. Wortman; C. Robin Buell

We have developed a rice (Oryza sativa) genome annotation database (Osa1) that provides structural and functional annotation for this emerging model species. Using the sequence of O. sativa subsp. japonica cv Nipponbare from the International Rice Genome Sequencing Project, pseudomolecules, or virtual contigs, of the 12 rice chromosomes were constructed. Our most recent release, version 3, represents our third build of the pseudomolecules and is composed of 98% finished sequence. Genes were identified using a series of computational methods developed for Arabidopsis (Arabidopsis thaliana) that were modified for use with the rice genome. In release 3 of our annotation, we identified 57,915 genes, of which 14,196 are related to transposable elements. Of these 43,719 nontransposable element-related genes, 18,545 (42.4%) were annotated with a putative function, 5,777 (13.2%) were annotated as encoding an expressed protein with no known function, and the remaining 19,397 (44.4%) were annotated as encoding a hypothetical protein. Multiple splice forms (5,873) were detected for 2,538 genes, resulting in a total of 61,250 gene models in the rice genome. We incorporated experimental evidence into 18,252 gene models to improve the quality of the structural annotation. A series of functional data types has been annotated for the rice genome that includes alignment with genetic markers, assignment of gene ontologies, identification of flanking sequence tags, alignment with homologs from related species, and syntenic mapping with other cereal species. All structural and functional annotation data are available through interactive search and display windows as well as through download of flat files. To integrate the data with other genome projects, the annotation data are available through a Distributed Annotation System and a Genome Browser. All data can be obtained through the project Web pages at http://rice.tigr.org.


Genome Research | 2009

Comparative genomic analyses of the human fungal pathogens Coccidioides and their relatives.

Thomas J. Sharpton; Jason E. Stajich; Steven D. Rounsley; Malcolm J. Gardner; Jennifer R. Wortman; Vinita S. Jordar; Rama Maiti; Chinnappa D. Kodira; Daniel E. Neafsey; Qiandong Zeng; Chiung Yu Hung; Cody McMahan; Anna Muszewska; Marcin Grynberg; M. Alejandra Mandel; Ellen M. Kellner; Bridget M. Barker; John N. Galgiani; Marc J. Orbach; Theo N. Kirkland; Garry T. Cole; Matthew R. Henn; Bruce W. Birren; John W. Taylor

While most Ascomycetes tend to associate principally with plants, the dimorphic fungi Coccidioides immitis and Coccidioides posadasii are primary pathogens of immunocompetent mammals, including humans. Infection results from environmental exposure to Coccidiodies, which is believed to grow as a soil saprophyte in arid deserts. To investigate hypotheses about the life history and evolution of Coccidioides, the genomes of several Onygenales, including C. immitis and C. posadasii; a close, nonpathogenic relative, Uncinocarpus reesii; and a more diverged pathogenic fungus, Histoplasma capsulatum, were sequenced and compared with those of 13 more distantly related Ascomycetes. This analysis identified increases and decreases in gene family size associated with a host/substrate shift from plants to animals in the Onygenales. In addition, comparison among Onygenales genomes revealed evolutionary changes in Coccidioides that may underlie its infectious phenotype, the identification of which may facilitate improved treatment and prevention of coccidioidomycosis. Overall, the results suggest that Coccidioides species are not soil saprophytes, but that they have evolved to remain associated with their dead animal hosts in soil, and that Coccidioides metabolism genes, membrane-related proteins, and putatively antigenic compounds have evolved in response to interaction with an animal host.


BMC Biology | 2005

Complete reannotation of the Arabidopsis genome: methods, tools, protocols and the final release

Brian J. Haas; Jennifer R. Wortman; Catherine M. Ronning; Linda I. Hannick; R. K. W. Smith; Rama Maiti; Agnes P. Chan; Chunhui Yu; Maryam Farzad; Dongying Wu; Owen White; Christopher D. Town

BackgroundSince the initial publication of its complete genome sequence, Arabidopsis thaliana has become more important than ever as a model for plant research. However, the initial genome annotation was submitted by multiple centers using inconsistent methods, making the data difficult to use for many applications.ResultsOver the course of three years, TIGR has completed its effort to standardize the structural and functional annotation of the Arabidopsis genome. Using both manual and automated methods, Arabidopsis gene structures were refined and gene products were renamed and assigned to Gene Ontology categories. We present an overview of the methods employed, tools developed, and protocols followed, summarizing the contents of each data release with special emphasis on our final annotation release (version 5).ConclusionOver the entire period, several thousand new genes and pseudogenes were added to the annotation. Approximately one third of the originally annotated gene models were significantly refined yielding improved gene structure annotations, and every protein-coding gene was manually inspected and classified using Gene Ontology terms.


Plant Physiology | 2003

Annotation of the Arabidopsis Genome

Jennifer R. Wortman; Brian J. Haas; Linda I. Hannick; R. K. W. Smith; Rama Maiti; Catherine M. Ronning; Agnes P. Chan; Chunhui Yu; Mulu Ayele; Catherine A. Whitelaw; Owen R. White; Christopher D. Town

The Arabidopsis Genome Sequencing Project was officially completed in late 2000, leading to the publication of a landmark paper describing, in broad outline, many salient features of the Arabidopsis genome ([Arabidopsis Genome Initiative [AGI], 2000][1]). However, the genome annotation, generated by


Studies in Mycology | 2007

What can comparative genomics tell us about species concepts in the genus Aspergillus

Antonis Rokas; Gary A. Payne; Natalie D. Fedorova; S.E. Baker; Masayuki Machida; Jiujiang Yu; D. Ryan Georgianna; Ralph A. Dean; Deepak Bhatnagar; Thomas E. Cleveland; Jennifer R. Wortman; Rama Maiti; Vinita Joardar; Paolo Amedeo; David W. Denning; William C. Nierman

Understanding the nature of species” boundaries is a fundamental question in evolutionary biology. The availability of genomes from several species of the genus Aspergillus allows us for the first time to examine the demarcation of fungal species at the whole-genome level. Here, we examine four case studies, two of which involve intraspecific comparisons, whereas the other two deal with interspecific genomic comparisons between closely related species. These four comparisons reveal significant variation in the nature of species boundaries across Aspergillus. For example, comparisons between A. fumigatus and Neosartorya fischeri (the teleomorph of A. fischerianus) and between A. oryzae and A. flavus suggest that measures of sequence similarity and species-specific genes are significantly higher for the A. fumigatus - N. fischeri pair. Importantly, the values obtained from the comparison between A. oryzae and A. flavus are remarkably similar to those obtained from an intra-specific comparison of A. fumigatus strains, giving support to the proposal that A. oryzae represents a distinct ecotype of A. flavus and not a distinct species. We argue that genomic data can aid Aspergillus taxonomy by serving as a source of novel and unprecedented amounts of comparative data, as a resource for the development of additional diagnostic tools, and finally as a knowledge database about the biological differences between strains and species.


Medical Mycology | 2006

Whole genome comparison of the A. fumigatus family

Jennifer R. Wortman; Natalie D. Fedorova; Jonathan Crabtree; Vinita Joardar; Rama Maiti; Brian J. Haas; Paolo Amedeo; E. Lee; Sam Angiuoli; Bo Jiang; Michael J. Anderson; David W. Denning; Owen White; William C. Nierman

The availability of the genome sequences of multiple Aspergillus spp. presents the research community with an unprecedented opportunity for discovery. The genomes of Neosartorya fischeri and Aspergillus clavatus have been sequenced in order to extend our knowledge of Aspergillus fumigatus, the primary cause of invasive aspergillosis. Through comparative genomic analysis, we hope to elucidate both obvious and subtle differences between genomes, developing new hypotheses that can be tested in the laboratory. A preliminary examination of the genomes and their predicted proteomes reveals extensive conservation between protein sequences and significant synteny, or conserved gene order. Comparative genomic analysis at the level of these closely related aspergilli should provide important insight into the evolutionary forces at play and their effect on gene content, regulation and expression.


Science | 2005

The genome of the basidiomycetous yeast and human pathogen Cryptococcus neoformans

Brendan J. Loftus; Eula Fung; Paola Roncaglia; Don Rowley; Paolo Amedeo; Dan Bruno; Jessica Vamathevan; Molly Miranda; Iain J. Anderson; James A. Fraser; Jonathan E. Allen; Ian Bosdet; Michael R. Brent; Readman Chiu; Tamara L. Doering; Maureen J. Donlin; Cletus D'souza; Deborah S. Fox; Viktoriya Grinberg; Jianmin Fu; Marilyn Fukushima; Brian J. Haas; James Huang; Guilhem Janbon; Steven J.M. Jones; Hean L. Koo; Martin Krzywinski; June Kwon-Chung; Klaus B. Lengeler; Rama Maiti


Nucleic Acids Research | 2003

Improving the Arabidopsis genome annotation using maximal transcript alignment assemblies

Brian J. Haas; Arthur L. Delcher; M S M Stephen Mount; Jennifer R. Wortman; R. K. W. Smith; Linda I. Hannick; Rama Maiti; Catherine M. Ronning; Douglas B. Rusch; Christopher D. Town; Owen White

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Paolo Amedeo

J. Craig Venter Institute

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Owen White

J. Craig Venter Institute

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Vinita Joardar

J. Craig Venter Institute

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