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Dive into the research topics where Shrinivasrao P. Mane is active.

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Featured researches published by Shrinivasrao P. Mane.


Nature Genetics | 2011

The genome of woodland strawberry ( Fragaria vesca )

Vladimir Shulaev; Daniel J. Sargent; Ross N. Crowhurst; Todd C. Mockler; Otto Folkerts; Arthur L. Delcher; Pankaj Jaiswal; Keithanne Mockaitis; Aaron Liston; Shrinivasrao P. Mane; Paul D. Burns; Thomas M. Davis; Janet P. Slovin; Nahla Bassil; Roger P. Hellens; Clive Evans; Tim Harkins; Chinnappa D. Kodira; Brian Desany; Oswald Crasta; Roderick V. Jensen; Andrew C. Allan; Todd P. Michael; João C. Setubal; Jean Marc Celton; Kelly P. Williams; Sarah H. Holt; Juan Jairo Ruiz Rojas; Mithu Chatterjee; Bo Liu

The woodland strawberry, Fragaria vesca (2n = 2x = 14), is a versatile experimental plant system. This diminutive herbaceous perennial has a small genome (240 Mb), is amenable to genetic transformation and shares substantial sequence identity with the cultivated strawberry (Fragaria × ananassa) and other economically important rosaceous plants. Here we report the draft F. vesca genome, which was sequenced to ×39 coverage using second-generation technology, assembled de novo and then anchored to the genetic linkage map into seven pseudochromosomes. This diploid strawberry sequence lacks the large genome duplications seen in other rosids. Gene prediction modeling identified 34,809 genes, with most being supported by transcriptome mapping. Genes critical to valuable horticultural traits including flavor, nutritional value and flowering time were identified. Macrosyntenic relationships between Fragaria and Prunus predict a hypothetical ancestral Rosaceae genome that had nine chromosomes. New phylogenetic analysis of 154 protein-coding genes suggests that assignment of Populus to Malvidae, rather than Fabidae, is warranted.


PLOS Biology | 2010

Multi-platform next-generation sequencing of the domestic Turkey (Meleagris gallopavo): Genome assembly and analysis

Rami A. Dalloul; Julie A Long; Aleksey V. Zimin; Luqman Aslam; Kathryn Beal; Le Ann Blomberg; Pascal Bouffard; David W. Burt; Oswald Crasta; R.P.M.A. Crooijmans; Kristal L. Cooper; Roger A. Coulombe; Supriyo De; Mary E. Delany; Jerry B. Dodgson; Jennifer J Dong; Clive Evans; Karin M. Frederickson; Paul Flicek; Liliana Florea; Otto Folkerts; M.A.M. Groenen; Tim Harkins; Javier Herrero; Steve Hoffmann; Hendrik-Jan Megens; Andrew Jiang; Pieter J. de Jong; Peter K. Kaiser; Heebal Kim

The combined application of next-generation sequencing platforms has provided an economical approach to unlocking the potential of the turkey genome.


Infection and Immunity | 2011

PATRIC: the Comprehensive Bacterial Bioinformatics Resource with a Focus on Human Pathogenic Species

Joseph J. Gillespie; Alice R. Wattam; Stephen A. Cammer; Joseph L. Gabbard; Maulik Shukla; Oral Dalay; Timothy Driscoll; Deborah Hix; Shrinivasrao P. Mane; Chunhong Mao; Eric K. Nordberg; Mark Scott; Julie Schulman; Eric E. Snyder; Daniel E. Sullivan; Chunxia Wang; Andrew S. Warren; Kelly P. Williams; Tian Xue; Hyun Seung Yoo; Chengdong Zhang; Yan Zhang; Rebecca Will; Ronald W. Kenyon; Bruno W. S. Sobral

ABSTRACT Funded by the National Institute of Allergy and Infectious Diseases, the Pathosystems Resource Integration Center (PATRIC) is a genomics-centric relational database and bioinformatics resource designed to assist scientists in infectious-disease research. Specifically, PATRIC provides scientists with (i) a comprehensive bacterial genomics database, (ii) a plethora of associated data relevant to genomic analysis, and (iii) an extensive suite of computational tools and platforms for bioinformatics analysis. While the primary aim of PATRIC is to advance the knowledge underlying the biology of human pathogens, all publicly available genome-scale data for bacteria are compiled and continually updated, thereby enabling comparative analyses to reveal the basis for differences between infectious free-living and commensal species. Herein we summarize the major features available at PATRIC, dividing the resources into two major categories: (i) organisms, genomes, and comparative genomics and (ii) recurrent integration of community-derived associated data. Additionally, we present two experimental designs typical of bacterial genomics research and report on the execution of both projects using only PATRIC data and tools. These applications encompass a broad range of the data and analysis tools available, illustrating practical uses of PATRIC for the biologist. Finally, a summary of PATRICs outreach activities, collaborative endeavors, and future research directions is provided.


Journal of Experimental Botany | 2008

Physiological and molecular adaptations to drought in Andean potato genotypes

Cecilia Vasquez-Robinet; Shrinivasrao P. Mane; Alexander V. Ulanov; Jonathan I. Watkinson; Verlyn K. Stromberg; David De Koeyer; Roland Schafleitner; David B. Willmot; Merideth Bonierbale; Hans J. Bohnert; Ruth Grene

The drought stress tolerance of two Solanum tuberosum subsp. andigena landraces, one hybrid (adg×tbr) and Atlantic (S. tuberosum subsp. tuberosum) has been evaluated. Photosynthesis in the Andigena landraces during prolonged drought was maintained significantly longer than in the Tuberosum (Atlantic) line. Among the Andigena landraces, ‘Sullu’ (SUL) was more drought resistant than ‘Negra Ojosa’ (NOJ). Microarray analysis and metabolite data from leaf samples taken at the point of maximum stress suggested higher mitochondrial metabolic activity in SUL than in NOJ. A greater induction of chloroplast-localized antioxidant and chaperone genes in SUL compared with NOJ was evident. ABA-responsive TFs were more induced in NOJ compared with SUL, including WRKY1, mediating a response in SA signalling that may give rise to increased ROS. NOJ may be experiencing higher ROS levels than SUL. Metabolite profiles of NOJ were characterized by compounds indicative of stress, for example, proline, trehalose, and GABA, which accumulated to a higher degree than in SUL. The differences between the Andigena lines were not explained by protective roles of compatible solutes; hexoses and complex sugars were similar in both landraces. Instead, lower levels of ROS accumulation, greater mitochondrial activity and active chloroplast defences contributed to a lower stress load in SUL than in NOJ during drought.


Genome Research | 2012

Contrasting patterns of evolution following whole genome versus tandem duplication events in Populus

Eli Rodgers-Melnick; Shrinivasrao P. Mane; Palitha Dharmawardhana; Gancho Trifonu Slavov; Oswald Crasta; Steven H. Strauss; Amy M. Brunner; Stephen P. DiFazio

Comparative analysis of multiple angiosperm genomes has implicated gene duplication in the expansion and diversification of many gene families. However, empirical data and theory suggest that whole-genome and small-scale duplication events differ with respect to the types of genes preserved as duplicate pairs. We compared gene duplicates resulting from a recent whole genome duplication to a set of tandemly duplicated genes in the model forest tree Populus trichocarpa. We used a combination of microarray expression analyses of a diverse set of tissues and functional annotation to assess factors related to the preservation of duplicate genes of both types. Whole genome duplicates are 700 bp longer and are expressed in 20% more tissues than tandem duplicates. Furthermore, certain functional categories are over-represented in each class of duplicates. In particular, disease resistance genes and receptor-like kinases commonly occur in tandem but are significantly under-retained following whole genome duplication, while whole genome duplicate pairs are enriched for members of signal transduction cascades and transcription factors. The shape of the distribution of expression divergence for duplicated pairs suggests that nearly half of the whole genome duplicates have diverged in expression by a random degeneration process. The remaining pairs have more conserved gene expression than expected by chance, consistent with a role for selection under the constraints of gene balance. We hypothesize that duplicate gene preservation in Populus is driven by a combination of subfunctionalization of duplicate pairs and purifying selection favoring retention of genes encoding proteins with large numbers of interactions.


PLOS ONE | 2008

Genome Sequence of Brucella abortus Vaccine Strain S19 Compared to Virulent Strains Yields Candidate Virulence Genes

Oswald Crasta; Otto Folkerts; Zhangjun Fei; Shrinivasrao P. Mane; Clive Evans; Susan Martino-Catt; Betsy Bricker; GongXin Yu; Lei Du; Bruno W. S. Sobral

The Brucella abortus strain S19, a spontaneously attenuated strain, has been used as a vaccine strain in vaccination of cattle against brucellosis for six decades. Despite many studies, the physiological and molecular mechanisms causing the attenuation are not known. We have applied pyrosequencing technology together with conventional sequencing to rapidly and comprehensively determine the complete genome sequence of the attenuated Brucella abortus vaccine strain S19. The main goal of this study is to identify candidate virulence genes by systematic comparative analysis of the attenuated strain with the published genome sequences of two virulent and closely related strains of B. abortus, 9–941 and 2308. The two S19 chromosomes are 2,122,487 and 1,161,449 bp in length. A total of 3062 genes were identified and annotated. Pairwise and reciprocal genome comparisons resulted in a total of 263 genes that were non-identical between the S19 genome and any of the two virulent strains. Amongst these, 45 genes were consistently different between the attenuated strain and the two virulent strains but were identical amongst the virulent strains, which included only two of the 236 genes that have been implicated as virulence factors in literature. The functional analyses of the differences have revealed a total of 24 genes that may be associated with the loss of virulence in S19. Of particular relevance are four genes with more than 60bp consistent difference in S19 compared to both the virulent strains, which, in the virulent strains, encode an outer membrane protein and three proteins involved in erythritol uptake or metabolism.


BMC Genomics | 2009

Transcriptome sequencing of the Microarray Quality Control (MAQC) RNA reference samples using next generation sequencing

Shrinivasrao P. Mane; Clive Evans; Kristal L. Cooper; Oswald Crasta; Otto Folkerts; Stephen K Hutchison; Timothy T. Harkins; Danielle Thierry-Mieg; Jean Thierry-Mieg; Roderick V. Jensen

BackgroundTranscriptome sequencing using next-generation sequencing platforms will soon be competing with DNA microarray technologies for global gene expression analysis. As a preliminary evaluation of these promising technologies, we performed deep sequencing of cDNA synthesized from the Microarray Quality Control (MAQC) reference RNA samples using Roches 454 Genome Sequencer FLX.ResultsWe generated more that 3.6 million sequence reads of average length 250 bp for the MAQC A and B samples and introduced a data analysis pipeline for translating cDNA read counts into gene expression levels. Using BLAST, 90% of the reads mapped to the human genome and 64% of the reads mapped to the RefSeq database of well annotated genes with e-values ≤ 10-20. We measured gene expression levels in the A and B samples by counting the numbers of reads that mapped to individual RefSeq genes in multiple sequencing runs to evaluate the MAQC quality metrics for reproducibility, sensitivity, specificity, and accuracy and compared the results with DNA microarrays and Quantitative RT-PCR (QRTPCR) from the MAQC studies. In addition, 88% of the reads were successfully aligned directly to the human genome using the AceView alignment programs with an average 90% sequence similarity to identify 137,899 unique exon junctions, including 22,193 new exon junctions not yet contained in the RefSeq database.ConclusionUsing the MAQC metrics for evaluating the performance of gene expression platforms, the ExpressSeq results for gene expression levels showed excellent reproducibility, sensitivity, and specificity that improved systematically with increasing shotgun sequencing depth, and quantitative accuracy that was comparable to DNA microarrays and QRTPCR. In addition, a careful mapping of the reads to the genome using the AceView alignment programs shed new light on the complexity of the human transcriptome including the discovery of thousands of new splice variants.


Fems Immunology and Medical Microbiology | 2011

Microbial diversity in saliva of oral squamous cell carcinoma

Smruti Pushalkar; Shrinivasrao P. Mane; Xiaojie Ji; Yihong Li; Clive Evans; Oswald Crasta; Douglas E. Morse; Robert J. Meagher; Anup K. Singh; Deepak Saxena

In the oral cavity, chronic inflammation has been observed at various stages of oral squamous cell carcinomas (OSCC). Such inflammation could result from persistent mucosal or epithelial cell colonization by microorganisms. There is increasing evidence of the involvement of oral bacteria in inflammation, warranting further studies on the association of bacteria with the progression of OSCC. The objective of this study was to evaluate the diversity and relative abundance of bacteria in the saliva of subjects with OSCC. Using 454 parallel DNA sequencing, ∼58,000 PCR amplicons that span the V4-V5 hypervariable region of rRNAs from five subjects were sequenced. Members of eight phyla (divisions) of bacteria were detected. The majority of classified sequences belonged to the phyla Firmicutes (45%) and Bacteroidetes (25%). Further, 52 different genera containing approximately 860 (16.51%) known species were identified and 1077 (67%) sequences belonging to various uncultured bacteria or unclassified groups. The species diversity estimates obtained with abundance-based coverage estimators and Chao1 were greater than published analyses of other microbial profiles from the oral cavity. Fifteen unique phylotypes were present in all three OSCC subjects.


PLOS ONE | 2008

Targeted development of registries of biological parts.

Jean Peccoud; Megan F. Blauvelt; Yizhi Cai; Kristal L. Cooper; Oswald Crasta; Emily C. DeLalla; Clive Evans; Otto Folkerts; Blair M. Lyons; Shrinivasrao P. Mane; Rebecca Shelton; Matthew A. Sweede; Sally A. Waldon

Background The design and construction of novel biological systems by combining basic building blocks represents a dominant paradigm in synthetic biology. Creating and maintaining a database of these building blocks is a way to streamline the fabrication of complex constructs. The Registry of Standard Biological Parts (Registry) is the most advanced implementation of this idea. Methods/Principal Findings By analyzing inclusion relationships between the sequences of the Registry entries, we build a network that can be related to the Registry abstraction hierarchy. The distribution of entry reuse and complexity was extracted from this network. The collection of clones associated with the database entries was also analyzed. The plasmid inserts were amplified and sequenced. The sequences of 162 inserts could be confirmed experimentally but unexpected discrepancies have also been identified. Conclusions/Significance Organizational guidelines are proposed to help design and manage this new type of scientific resources. In particular, it appears necessary to compare the cost of ensuring the integrity of database entries and associated biological samples with their value to the users. The initial strategy that permits including any combination of parts irrespective of its potential value leads to an exponential and economically unsustainable growth that may be detrimental to the quality and long-term value of the resource to its users.


Genome Biology | 2014

Genome analysis of a major urban malaria vector mosquito, Anopheles stephensi

Xiaofang Jiang; Ashley Peery; A. Brantley Hall; Atashi Sharma; Xiao Guang Chen; Robert M. Waterhouse; Aleksey Komissarov; Michelle M. Riehle; Yogesh S. Shouche; Maria V. Sharakhova; Dan Lawson; Nazzy Pakpour; Peter Arensburger; Victoria L M Davidson; Karin Eiglmeier; Scott J. Emrich; Phillip George; Ryan C. Kennedy; Shrinivasrao P. Mane; Gareth Maslen; Chioma Oringanje; Yumin Qi; Robert E. Settlage; Marta Tojo; Jose M. C. Tubio; Maria F. Unger; Bo Wang; Kenneth D. Vernick; José M. C. Ribeiro; Anthony A. James

BackgroundAnopheles stephensi is the key vector of malaria throughout the Indian subcontinent and Middle East and an emerging model for molecular and genetic studies of mosquito-parasite interactions. The type form of the species is responsible for the majority of urban malaria transmission across its range.ResultsHere, we report the genome sequence and annotation of the Indian strain of the type form of An. stephensi. The 221 Mb genome assembly represents more than 92% of the entire genome and was produced using a combination of 454, Illumina, and PacBio sequencing. Physical mapping assigned 62% of the genome onto chromosomes, enabling chromosome-based analysis. Comparisons between An. stephensi and An. gambiae reveal that the rate of gene order reshuffling on the X chromosome was three times higher than that on the autosomes. An. stephensi has more heterochromatin in pericentric regions but less repetitive DNA in chromosome arms than An. gambiae. We also identify a number of Y-chromosome contigs and BACs. Interspersed repeats constitute 7.1% of the assembled genome while LTR retrotransposons alone comprise more than 49% of the Y contigs. RNA-seq analyses provide new insights into mosquito innate immunity, development, and sexual dimorphism.ConclusionsThe genome analysis described in this manuscript provides a resource and platform for fundamental and translational research into a major urban malaria vector. Chromosome-based investigations provide unique perspectives on Anopheles chromosome evolution. RNA-seq analysis and studies of immunity genes offer new insights into mosquito biology and mosquito-parasite interactions.

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Oswald Crasta

Virginia Bioinformatics Institute

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Clive Evans

Virginia Bioinformatics Institute

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Otto Folkerts

Virginia Bioinformatics Institute

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Kelly P. Williams

Sandia National Laboratories

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Maulik Shukla

Virginia Bioinformatics Institute

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