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Dive into the research topics where Surya Saha is active.

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Featured researches published by Surya Saha.


Nucleic Acids Research | 2015

The Sol Genomics Network (SGN)—from genotype to phenotype to breeding

Noe Fernandez-Pozo; Naama Menda; Jeremy D. Edwards; Surya Saha; Isaak Y. Tecle; Susan R. Strickler; Aureliano Bombarely; Thomas Fisher-York; Anuradha Pujar; Hartmut Foerster; Aimin Yan; Lukas A. Mueller

The Sol Genomics Network (SGN, http://solgenomics.net) is a web portal with genomic and phenotypic data, and analysis tools for the Solanaceae family and close relatives. SGN hosts whole genome data for an increasing number of Solanaceae family members including tomato, potato, pepper, eggplant, tobacco and Nicotiana benthamiana. The database also stores loci and phenotype data, which researchers can upload and edit with user-friendly web interfaces. Tools such as BLAST, GBrowse and JBrowse for browsing genomes, expression and map data viewers, a locus community annotation system and a QTL analysis tools are available. A new tool was recently implemented to improve Virus-Induced Gene Silencing (VIGS) constructs called the SGN VIGS tool. With the growing genomic and phenotypic data in the database, SGN is now advancing to develop new web-based breeding tools and implement the code and database structure for other species or clade-specific databases.


Nature Methods | 2017

Critical assessment of metagenome interpretation − a benchmark of computational metagenomics software

Alexander Sczyrba; Peter Hofmann; Peter Belmann; David Koslicki; Stefan Janssen; Johannes Droege; Ivan Gregor; Stephan Majda; Jessika Fiedler; Eik Dahms; Andreas Bremges; Adrian Fritz; Ruben Garrido-Oter; Tue Sparholt Jørgensen; Nicole Shapiro; Philip D. Blood; Alexey Gurevich; Yang Bai; Dmitrij Turaev; Matthew Z. DeMaere; Rayan Chikhi; Niranjan Nagarajan; Christopher Quince; Fernando Meyer; Monika Balvociute; Lars Hestbjerg Hansen; Søren J. Sørensen; Burton K H Chia; Bertrand Denis; Jeff Froula

Methods for assembly, taxonomic profiling and binning are key to interpreting metagenome data, but a lack of consensus about benchmarking complicates performance assessment. The Critical Assessment of Metagenome Interpretation (CAMI) challenge has engaged the global developer community to benchmark their programs on highly complex and realistic data sets, generated from ∼700 newly sequenced microorganisms and ∼600 novel viruses and plasmids and representing common experimental setups. Assembly and genome binning programs performed well for species represented by individual genomes but were substantially affected by the presence of related strains. Taxonomic profiling and binning programs were proficient at high taxonomic ranks, with a notable performance decrease below family level. Parameter settings markedly affected performance, underscoring their importance for program reproducibility. The CAMI results highlight current challenges but also provide a roadmap for software selection to answer specific research questions.


PLOS ONE | 2012

Survey of Endosymbionts in the Diaphorina citri Metagenome and Assembly of a Wolbachia wDi Draft Genome

Surya Saha; Wayne B. Hunter; Justin Reese; J. Kent Morgan; Mizuri Marutani-Hert; Hong Huang; Magdalen Lindeberg

Diaphorina citri (Hemiptera: Psyllidae), the Asian citrus psyllid, is the insect vector of Ca. Liberibacter asiaticus, the causal agent of citrus greening disease. Sequencing of the D. citri metagenome has been initiated to gain better understanding of the biology of this organism and the potential roles of its bacterial endosymbionts. To corroborate candidate endosymbionts previously identified by rDNA amplification, raw reads from the D. citri metagenome sequence were mapped to reference genome sequences. Results of the read mapping provided the most support for Wolbachia and an enteric bacterium most similar to Salmonella. Wolbachia-derived reads were extracted using the complete genome sequences for four Wolbachia strains. Reads were assembled into a draft genome sequence, and the annotation assessed for the presence of features potentially involved in host interaction. Genome alignment with the complete sequences reveals membership of Wolbachia wDi in supergroup B, further supported by phylogenetic analysis of FtsZ. FtsZ and Wsp phylogenies additionally indicate that the Wolbachia strain in the Florida D. citri isolate falls into a sub-clade of supergroup B, distinct from Wolbachia present in Chinese D. citri isolates, supporting the hypothesis that the D. citri introduced into Florida did not originate from China.


Biotechnology and Bioengineering | 2016

Traits of selected Clostridium strains for syngas fermentation to ethanol

Michael E. Martin; Hanno Richter; Surya Saha; Largus T. Angenent

Syngas fermentation is an anaerobic bioprocess that could become industrially relevant as a biorefinery platform for sustainable production of fuels and chemicals. An important prerequisite for commercialization is adequate performance of the biocatalyst (i.e., sufficiently high production rate, titer, selectivity, yield, and stability of the fermentation). Here, we compared the performance of three potential candidate Clostridium strains in syngas‐to‐ethanol conversion: Clostridium ljungdahlii PETC, C. ljungdahlii ERI‐2, and Clostridium autoethanogenum JA1‐1. Experiments were conducted in a two‐stage, continuously fed syngas‐fermentation system that had been optimized for stable ethanol production. The two C. ljungdahlii strains performed similar to each other but different from C. autoethanogenum. When the pH value was lowered from 5.5 to 4.5 to induce solventogenesis, the cell‐specific carbon monoxide and hydrogen consumption (similar rate for all strains at pH 5.5), severely decreased in JA1‐1, but hardly in PETC and ERI‐2. Ethanol production in strains PETC and ERI‐2 remained relatively stable while the rate of acetate production decreased, resulting in a high ethanol/acetate ratio, but lower overall productivities. With JA1‐1, lowering the pH severely lowered rates of both ethanol and acetate production; and as a consequence, no pronounced shift to solventogenesis was observed. The highest overall ethanol production rate of 0.301 g · L−1 · h−1 was achieved with PETC at pH 4.5 with a corresponding 19 g/L (1.9% w/v) ethanol concentration and a 5.5:1 ethanol/acetate molar ratio. A comparison of the genes relevant for ethanol metabolism revealed differences between C. ljungdahlii and C. autoethanogenum that, however, did not conclusively explain the different phenotypes. Biotechnol. Bioeng. 2016;113: 531–539.


Nature Methods | 2017

Critical Assessment of Metagenome Interpretation — a benchmark of metagenomics software

Alexander Sczyrba; Peter Hofmann; Peter Belmann; David Koslicki; Stefan Janssen; Johannes Dröge; Ivan Gregor; Stephan Majda; Jessika Fiedler; Eik Dahms; Andreas Bremges; Adrian Fritz; Ruben Garrido-Oter; Tue Sparholt Jørgensen; Nicole Shapiro; Philip D. Blood; Alexey Gurevich; Yang Bai; Dmitrij Turaev; Matthew Z. DeMaere; Rayan Chikhi; Niranjan Nagarajan; Christopher Quince; Fernando Meyer; Monika Balvočiūtė; Lars Hestbjerg Hansen; Søren J. Sørensen; Burton K H Chia; Bertrand Denis; Jeff Froula

Methods for assembly, taxonomic profiling and binning are key to interpreting metagenome data, but a lack of consensus about benchmarking complicates performance assessment. The Critical Assessment of Metagenome Interpretation (CAMI) challenge has engaged the global developer community to benchmark their programs on highly complex and realistic data sets, generated from ∼700 newly sequenced microorganisms and ∼600 novel viruses and plasmids and representing common experimental setups. Assembly and genome binning programs performed well for species represented by individual genomes but were substantially affected by the presence of related strains. Taxonomic profiling and binning programs were proficient at high taxonomic ranks, with a notable performance decrease below family level. Parameter settings markedly affected performance, underscoring their importance for program reproducibility. The CAMI results highlight current challenges but also provide a roadmap for software selection to answer specific research questions.


Journal of Genomics | 2014

Characterization of the Asian Citrus Psyllid Transcriptome.

Justin T. Reese; Matthew K. Christenson; Nan Leng; Surya Saha; Brandi L. Cantarel; Magdalen Lindeberg; Cecilia Tamborindeguy; Justin MacCarthy; Daniel G. Weaver; Andrew J. Trease; Steven V. Ready; Vincent M. Davis; Courtney McCormick; Christian D. Haudenschild; Shunsheng Han; Shannon L. Johnson; Kent S. Shelby; Hong Huang; Blake R. Bextine; Robert G. Shatters; David G. Hall; Paul H. Davis; Wayne B. Hunter

The Asian citrus psyllid, Diaphorina citri Kuwayama (Hemiptera: Psyllidae) is a vector for the causative agents of Huanglongbing, which threatens citrus production worldwide. This study reports and discusses the first D. citri transcriptomes, encompassing the three main life stages of D. citri, egg, nymph and adult. The transcriptomes were annotated using Gene Ontology (GO) and insecticide-related genes within each life stage were identified to aid the development of future D. citri insecticides. Transcriptome assemblies and other sequence data are available for download at the International Asian Citrus Psyllid Genome Consortium website [http://psyllid.org/download] and at NCBI [http://www.ncbi.nlm.nih.gov/bioproject/29447].


Tree Genetics & Genomes | 2011

Microsatellite DNA in genomic survey sequences and UniGenes of loblolly pine

Craig S. Echt; Surya Saha; Dennis L. Deemer; C. Dana Nelson

Genomic DNA sequence databases are a potential and growing resource for simple sequence repeat (SSR) marker development in loblolly pine (Pinus taeda L.). Loblolly pine also has many expressed sequence tags (ESTs) available for microsatellite (SSR) marker development. We compared loblolly pine SSR densities in genome survey sequences (GSSs) to those in non-redundant EST and cDNA sequences (UniGenes) and designed SSR primer pairs from both sequence types. Overall SSR densities were 96 SSR/Mb in GSSs and 38 SSR/Mb in UniGenes. Loblolly pine had the lowest transcriptome SSR density when compared to 49 other species in the NCBI UniGene database. Among the five different GSS genome fractions of loblolly pine analyzed, methylation-filtered DNA had the highest SSR density at 145 SSR/Mb. The most abundant loblolly pine SSR motif was AT in both GSSs (34 SSR/Mb) and UniGenes (7.6 SSR/Mb). Among the trinucleotide SSR motifs, the most abundant was AAT (9.5 SSR/Mb) in GSSs and AGC (4.9 SSR/Mb) in UniGenes. We designed PCR primer pairs for 120 genomic SSRs and 315 EST-SSRs and evaluated PCR amplification for 108 (25%). We identified 21 primer pairs that reliably amplified polymorphic loci from 31 loblolly pine individuals and estimated that at least 60 additional polymorphic marker loci could be developed from available P. taeda GSS and UniGene resources.


PLOS ONE | 2017

Combining 'omics and microscopy to visualize interactions between the Asian citrus psyllid vector and the Huanglongbing pathogen Candidatus Liberibacter asiaticus in the insect gut

Angela Kruse; Somayeh Fattah-Hosseini; Surya Saha; Richard J. Johnson; EricaRose Warwick; Kasie Sturgeon; Lukas A. Mueller; Michael J. MacCoss; Robert G. Shatters; Michelle Heck; Hanu R. Pappu

Huanglongbing, or citrus greening disease, is an economically devastating bacterial disease of citrus. It is associated with infection by the gram-negative bacterium Candidatus Liberibacter asiaticus (CLas). CLas is transmitted by Diaphorina citri, the Asian citrus psyllid (ACP). For insect transmission to occur, CLas must be ingested during feeding on infected phloem sap and cross the gut barrier to gain entry into the insect vector. To investigate the effects of CLas exposure at the gut-pathogen interface, we performed RNAseq and mass spectrometry-based proteomics to analyze the transcriptome and proteome, respectively, of ACP gut tissue. CLas exposure resulted in changes in pathways involving the TCA cycle, iron metabolism, insecticide resistance and the insect’s immune system. We identified 83 long non-coding RNAs that are responsive to CLas, two of which appear to be specific to the ACP. Proteomics analysis also enabled us to determine that Wolbachia, a symbiont of the ACP, undergoes proteome regulation when CLas is present. Fluorescent in situ hybridization (FISH) confirmed that Wolbachia and CLas inhabit the same ACP gut cells, but do not co-localize within those cells. Wolbachia cells are prevalent throughout the gut epithelial cell cytoplasm, and Wolbachia titer is more variable in the guts of CLas exposed insects. CLas is detected on the luminal membrane, in puncta within the gut epithelial cell cytoplasm, along actin filaments in the gut visceral muscles, and rarely, in association with gut cell nuclei. Our study provides a snapshot of how the psyllid gut copes with CLas exposure and provides information on pathways and proteins for targeted disruption of CLas-vector interactions at the gut interface.


Database | 2017

Improved annotation of the insect vector of citrus greening disease: biocuration by a diverse genomics community

Surya Saha; Prashant S. Hosmani; Krystal Villalobos-Ayala; Sherry C. Miller; Teresa D. Shippy; Mirella Flores; Andrew J. Rosendale; Chris Cordola; Tracey Bell; Hannah Mann; Gabe DeAvila; Daniel DeAvila; Zachary W.Q. Moore; Kyle Buller; Kathryn Ciolkevich; Samantha Nandyal; Robert Mahoney; Joshua Van Voorhis; Megan E. Dunlevy; David C. Farrow; David L. Hunter; Taylar Morgan; Kayla Shore; Victoria Guzman; Allison Izsak; Danielle E. Dixon; Andrew G. Cridge; Liliana Cano; Xiaolong Cao; Haobo Jiang

Abstract The Asian citrus psyllid (Diaphorina citri Kuwayama) is the insect vector of the bacterium Candidatus Liberibacter asiaticus (CLas), the pathogen associated with citrus Huanglongbing (HLB, citrus greening). HLB threatens citrus production worldwide. Suppression or reduction of the insect vector using chemical insecticides has been the primary method to inhibit the spread of citrus greening disease. Accurate structural and functional annotation of the Asian citrus psyllid genome, as well as a clear understanding of the interactions between the insect and CLas, are required for development of new molecular-based HLB control methods. A draft assembly of the D. citri genome has been generated and annotated with automated pipelines. However, knowledge transfer from well-curated reference genomes such as that of Drosophila melanogaster to newly sequenced ones is challenging due to the complexity and diversity of insect genomes. To identify and improve gene models as potential targets for pest control, we manually curated several gene families with a focus on genes that have key functional roles in D. citri biology and CLas interactions. This community effort produced 530 manually curated gene models across developmental, physiological, RNAi regulatory and immunity-related pathways. As previously shown in the pea aphid, RNAi machinery genes putatively involved in the microRNA pathway have been specifically duplicated. A comprehensive transcriptome enabled us to identify a number of gene families that are either missing or misassembled in the draft genome. In order to develop biocuration as a training experience, we included undergraduate and graduate students from multiple institutions, as well as experienced annotators from the insect genomics research community. The resulting gene set (OGS v1.0) combines both automatically predicted and manually curated gene models.


BMC Genomics | 2016

Comprehensive repeatome annotation reveals strong potential impact of repetitive elements on tomato ripening

Ophélie Jouffroy; Surya Saha; Lukas A. Mueller; Hadi Quesneville; Florian Maumus

BackgroundPlant genomes are populated by different types of repetitive elements including transposable elements (TEs) and simple sequence repeats (SSRs) that can have a strong impact on genome size and dynamic as well as on the regulation of gene transcription. At least two-thirds of the tomato genome is composed of repeats. While their bulk impact on genome organization has been recently revealed by whole genome assembly, their influence on tomato biology and phenotype remains largely unaddressed. More specifically, the effects and roles of DNA repeats on the maturation of fleshy fruits, which is a complex process of key agro-economic interest, still needs to be investigated comprehensively and tomato is arguably an excellent model for such study.ResultsWe have performed a comprehensive annotation of the tomato repeatome to explore its potential impact on tomato genome composition and gene transcription. Our results show that the tomato genome can be fractioned into three compartments with different gene and repeat density, each compartment presenting contrasting repeat and gene composition, repeat-gene associations and different gene transcriptional levels. In the context of fruit ripening, we found that repeats are present in the majority of differentially methylated regions (DMRs) and thousands of repeat-associated DMRs are found in gene proximity including hundreds that are differentially regulated. Furthermore, we found that repeats are also present in the proximity of binding sites of the key ripening protein RIN. We also observed that some repeat families are present at unexpected high frequency in the proximity of genes that are differentially expressed during tomato ripening.ConclusionAltogether, our study emphasizes the fractionation as defined by repeat content in the tomato genome and enables to further characterize the specificities of each genomic compartment. Additionally, our results present strong associations between differentially regulated genes, differentially methylated regions and repeats, suggesting a potential adaptive function of repeats in tomato ripening. Our work therefore provides significant perspectives for the understanding of the impact of repeats on the maturation of fleshy fruits.

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Wayne B. Hunter

United States Department of Agriculture

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Lukas A. Mueller

Boyce Thompson Institute for Plant Research

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Hong Huang

University of South Florida

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Jeff Froula

Joint Genome Institute

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Philip D. Blood

Pittsburgh Supercomputing Center

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Rayan Chikhi

Pennsylvania State University

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