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Dive into the research topics where Benjamin D. Rosen is active.

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Featured researches published by Benjamin D. Rosen.


Nature Biotechnology | 2013

Draft genome sequence of chickpea (Cicer arietinum) provides a resource for trait improvement

Rajeev K. Varshney; Chi Song; Rachit K. Saxena; Sarwar Azam; Sheng Yu; Andrew G. Sharpe; Steven B. Cannon; Jong-Min Baek; Benjamin D. Rosen; Bunyamin Tar'an; Teresa Millán; Xudong Zhang; Larissa Ramsay; Aiko Iwata; Ying Wang; William C. Nelson; Andrew D. Farmer; Pooran M. Gaur; Carol Soderlund; R. Varma Penmetsa; Chunyan Xu; Arvind K. Bharti; Weiming He; Peter Winter; Shancen Zhao; James K. Hane; Noelia Carrasquilla-Garcia; Janet A. Condie; Hari D. Upadhyaya; Ming-Cheng Luo

Chickpea (Cicer arietinum) is the second most widely grown legume crop after soybean, accounting for a substantial proportion of human dietary nitrogen intake and playing a crucial role in food security in developing countries. We report the ∼738-Mb draft whole genome shotgun sequence of CDC Frontier, a kabuli chickpea variety, which contains an estimated 28,269 genes. Resequencing and analysis of 90 cultivated and wild genotypes from ten countries identifies targets of both breeding-associated genetic sweeps and breeding-associated balancing selection. Candidate genes for disease resistance and agronomic traits are highlighted, including traits that distinguish the two main market classes of cultivated chickpea—desi and kabuli. These data comprise a resource for chickpea improvement through molecular breeding and provide insights into both genome diversity and domestication.


Nature Genetics | 2017

Single-molecule sequencing and chromatin conformation capture enable de novo reference assembly of the domestic goat genome

Derek M. Bickhart; Benjamin D. Rosen; Sergey Koren; Brian L Sayre; Alex Hastie; Saki Chan; Joyce Lee; Ernest T. Lam; Ivan Liachko; Shawn T Sullivan; Joshua N. Burton; John C Nystrom; Christy M. Kelley; Jana L. Hutchison; Yang Zhou; Jiajie Sun; Alessandra Crisà; F. Abel Ponce de León; John C. Schwartz; John A. Hammond; Geoffrey C. Waldbieser; Steven G. Schroeder; George E. Liu; Maitreya J. Dunham; Jay Shendure; Tad S. Sonstegard; Adam M. Phillippy; Curtis P. Van Tassell; T. P. L. Smith

The decrease in sequencing cost and increased sophistication of assembly algorithms for short-read platforms has resulted in a sharp increase in the number of species with genome assemblies. However, these assemblies are highly fragmented, with many gaps, ambiguities, and errors, impeding downstream applications. We demonstrate current state of the art for de novo assembly using the domestic goat (Capra hircus) based on long reads for contig formation, short reads for consensus validation, and scaffolding by optical and chromatin interaction mapping. These combined technologies produced what is, to our knowledge, the most continuous de novo mammalian assembly to date, with chromosome-length scaffolds and only 649 gaps. Our assembly represents a ∼400-fold improvement in continuity due to properly assembled gaps, compared to the previously published C. hircus assembly, and better resolves repetitive structures longer than 1 kb, representing the largest repeat family and immune gene complex yet produced for an individual of a ruminant species.


Nucleic Acids Research | 2015

Araport: the Arabidopsis Information Portal

Vivek Krishnakumar; Matthew R. Hanlon; Sergio Contrino; Erik S. Ferlanti; Svetlana Karamycheva; Maria Kim; Benjamin D. Rosen; Chia Yi Cheng; Walter Moreira; Stephen A. Mock; Joe Stubbs; Julie Sullivan; Konstantinos Krampis; Jason R. Miller; Gos Micklem; Matthew W. Vaughn; Christopher D. Town

The Arabidopsis Information Portal (https://www.araport.org) is a new online resource for plant biology research. It houses the Arabidopsis thaliana genome sequence and associated annotation. It was conceived as a framework that allows the research community to develop and release ‘modules’ that integrate, analyze and visualize Arabidopsis data that may reside at remote sites. The current implementation provides an indexed database of core genomic information. These data are made available through feature-rich web applications that provide search, data mining, and genome browser functionality, and also by bulk download and web services. Araport uses software from the InterMine and JBrowse projects to expose curated data from TAIR, GO, BAR, EBI, UniProt, PubMed and EPIC CoGe. The site also hosts ‘science apps,’ developed as prototypes for community modules that use dynamic web pages to present data obtained on-demand from third-party servers via RESTful web services. Designed for sustainability, the Arabidopsis Information Portal strategy exploits existing scientific computing infrastructure, adopts a practical mixture of data integration technologies and encourages collaborative enhancement of the resource by its user community.


BMC Plant Biology | 2012

Development and characterization of BAC-end sequence derived SSRs, and their incorporation into a new higher density genetic map for cultivated peanut (Arachis hypogaea L.)

Hui Wang; R. Varma Penmetsa; Mei Yuan; Limin Gong; Yongli Zhao; Baozhu Guo; Andrew D. Farmer; Benjamin D. Rosen; Jinliang Gao; Sachiko Isobe; David J. Bertioli; Rajeev K. Varshney; Douglas R. Cook; Guohao He

BackgroundCultivated peanut (Arachis hypogaea L.) is an important crop worldwide, valued for its edible oil and digestible protein. It has a very narrow genetic base that may well derive from a relatively recent single polyploidization event. Accordingly molecular markers have low levels of polymorphism and the number of polymorphic molecular markers available for cultivated peanut is still limiting.ResultsHere, we report a large set of BAC-end sequences (BES), use them for developing SSR (BES-SSR) markers, and apply them in genetic linkage mapping. The majority of BESs had no detectable homology to known genes (49.5%) followed by sequences with similarity to known genes (44.3%), and miscellaneous sequences (6.2%) such as transposable element, retroelement, and organelle sequences. A total of 1,424 SSRs were identified from 36,435 BESs. Among these identified SSRs, dinucleotide (47.4%) and trinucleotide (37.1%) SSRs were predominant. The new set of 1,152 SSRs as well as about 4,000 published or unpublished SSRs were screened against two parents of a mapping population, generating 385 polymorphic loci. A genetic linkage map was constructed, consisting of 318 loci onto 21 linkage groups and covering a total of 1,674.4 cM, with an average distance of 5.3 cM between adjacent loci. Two markers related to resistance gene homologs (RGH) were mapped to two different groups, thus anchoring 1 RGH-BAC contig and 1 singleton.ConclusionsThe SSRs mined from BESs will be of use in further molecular analysis of the peanut genome, providing a novel set of markers, genetically anchoring BAC clones, and incorporating gene sequences into a linkage map. This will aid in the identification of markers linked to genes of interest and map-based cloning.


PLOS ONE | 2015

Polyribosomal RNA-Seq reveals the decreased complexity and diversity of the Arabidopsis translatome.

Xingtan Zhang; Benjamin D. Rosen; Haibao Tang; Vivek Krishnakumar; Christopher D. Town

Recent RNA-seq studies reveal that the transcriptomes in animals and plants are more complex than previously thought, leading to the inclusion of many more splice isoforms in annotated genomes. However, it is possible that a significant proportion of the transcripts are spurious isoforms that do not contribute to functional proteins. One of the current hypotheses is that commonly used mRNA extraction methods isolate both pre-mature (nuclear) mRNA and mature (cytoplasmic) mRNA, and these incompletely spliced pre-mature mRNAs may contribute to a large proportion of these spurious transcripts. To investigate this, we compared a traditional RNA-seq dataset (total RNA-seq) and a ribosome-bound RNA-seq dataset (polyribosomal RNA-seq) from Arabidopsis thaliana. An integrative framework that combined de novo assembly and genome-guided assembly was applied to reconstruct transcriptomes for the two datasets. Up to 44.8% of the de novo assembled transcripts in total RNA-seq sample were of low abundance, whereas only 0.09% in polyribosomal RNA-seq de novo assembly were of low abundance. The final round of assembly using PASA (Program to Assemble Spliced Alignments) resulted in more transcript assemblies in the total RNA-seq than those in polyribosomal sample. Comparison of alternative splicing (AS) patterns between total and polyribosomal RNA-seq showed a significant difference (G-test, p-value<0.01) in intron retention events: 46.4% of AS events in the total sample were intron retention, whereas only 23.5% showed evidence of intron retention in the polyribosomal sample. It is likely that a large proportion of retained introns in total RNA-seq result from incompletely spliced pre-mature mRNA. Overall, this study demonstrated that polyribosomal RNA-seq technology decreased the complexity and diversity of the coding transcriptome by eliminating pre-mature mRNAs, especially those of low abundance.


Phytopathology | 2013

Isolation and characterization of nucleotide-binding site resistance gene homologues in common bean (Phaseolus vulgaris).

Luz Nayibe Garzón; Oscar A. Oliveros; Benjamin D. Rosen; Gustavo A. Ligarreto; Douglas R. Cook; Matthew W. Blair

Common bean production is constrained by many fungal, viral, and bacterial pathogens. Thus, the identification of resistance (R) genes is an important focal point of common bean research. The main goal of our study was to identify resistance gene homologues (RGH) in the crop, using degenerate primers designed from conserved sequences in the nucleotide-binding site (NBS) domains of R-genes from the model legume Medicago truncatula. Total DNA of the Andean common bean genotype G19833 was used for amplification of over 500 primer combinations. Sequencing of amplicons showed that 403 cloned fragments had uninterrupted open reading frames and were considered representative of functional RGH genes. The sequences were grouped at two levels of nucleotide identity (90 and 80%) and representative sequences of each group were used for phylogenetic analyses. The RGH sequence diversity of common bean was divided into TIR and non-TIR families, each with different clusters. The TIR sequences grouped into 14 clades while non-TIR sequences grouped into seven clades. Pairwise comparisons showed purifying selection, although some sequences may have been the result of diversifying selection. Knowledge about RGH genes in common bean can allow the design of molecular markers for pyramiding of resistance genes against various pathogens.


PLOS ONE | 2017

Whole genome structural analysis of Caribbean hair sheep reveals quantitative link to West African ancestry

Gordon L. Spangler; Benjamin D. Rosen; Moses Babatunde Ilori; Olivier Hanotte; Eui-Soo Kim; Tad S. Sonstegard; J.M. Burke; J. L. M. Morgan; D. R. Notter; Curtis P. Van Tassell

Hair sheep of Caribbean origin have become an important part of the U.S. sheep industry. Their lack of wool eliminates a number of health concerns and drastically reduces the cost of production. More importantly, Caribbean hair sheep demonstrate robust production performance even in the presence of drug-resistant gastrointestinal nematodes, a rising concern to the industry. Despite the growing importance of hair sheep in the Americas their genetic origins have remained speculative. Prior to this report no genetic studies were able to identify a unique geographical origin of hair sheep in the New World. Our study clarifies the African and European ancestry of Caribbean hair sheep. Whole-genome structural analysis was conducted on four established breeds of hair sheep from the Caribbean region. Using breeds representing Africa and Europe we establish an objective measure indicating Caribbean hair sheep are derived from Iberian and West African origins. Caribbean hair sheep result from West African introgression into established ecotypes of Iberian descent. Genotypes from 47,750 autosomal single nucleotide polymorphism markers scored in 290 animals were used to characterize the population structure of the St. Croix, Barbados Blackbelly, Morada Nova, and Santa Ines. Principal components, admixture, and phylogenetic analyses results correlate with historical patterns of colonization and trade. These patterns support co-migration of these sheep with humans.


Archive | 2017

Data on draft genome sequence of chickpea (Cicer arietinum)

Rajeev K. Varshney; Chi Song; Rachit K. Saxena; Sarwar Azam; Sheng Yu; Andrew G. Sharpe; Steven B. Cannon; Jong-Min Baek; Benjamin D. Rosen; Bunyamin Tar'an; Teresa Millán; Xudong Zhang; Larissa Ramsay; Aiko Iwata; Ying Wang; William Nelson; Andrew D. Farmer; Pooran M. Gaur; Carol Soderlund; R. Varma Penmetsa; Chunyan Xu; Arvind K. Bharti; Weiming He; Peter Winter; Shancen Zhao; James K. Hane; Noelia Carrasquilla-Garcia; Janet A. Condie; H. D. Upadhyaya; Ming-Cheng Luo

The dataset contains genome sequence of the ~738 Mb chickpea genome from CDC Frontier, a kabuli variety, which contains an estimated 28,269 genes. Re-sequencing and analysis of 90 cultivated and wild genotypes from 10 different countries identifies both targets of breeding-associated genetic sweeps and targets of breeding-associated balancing selection. Candidate genes for disease resistance and agronomic traits are highlighted, including traits that distinguish the two main classes of cultivated chickpea- desi and kabuli. These data comprise a resource for chickpea improvement through molecular breeding, and provide insights into both genome diversity and domestication. GBrowse Visualization Links: Chickpea genome at LIS Research Article


Genes & Development | 2011

MicroRNAs as master regulators of the plant NB-LRR defense gene family via the production of phased, trans-acting siRNAs

Jixian Zhai; Dong-Hoon Jeong; Emanuele De Paoli; Sunhee Park; Benjamin D. Rosen; Yupeng Li; Alvaro J. González; Zhe Yan; Sherry L. Kitto; Michael A. Grusak; Scott A. Jackson; Gary Stacey; Douglas R. Cook; Pamela J. Green; D. Janine Sherrier; Blake C. Meyers


BMC Genomics | 2014

An improved genome release (version Mt4.0) for the model legume Medicago truncatula

Haibao Tang; Vivek Krishnakumar; Shelby Bidwell; Benjamin D. Rosen; Agnes P. Chan; Shiguo Zhou; Laurent Gentzbittel; Kevin L. Childs; Mark Yandell; Heidrun Gundlach; Klaus F. X. Mayer; David C. Schwartz; Christopher D. Town

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Andrew D. Farmer

National Center for Genome Resources

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Derek M. Bickhart

Agricultural Research Service

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T. P. L. Smith

Agricultural Research Service

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Rajeev K. Varshney

International Crops Research Institute for the Semi-Arid Tropics

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Curtis P. Van Tassell

United States Department of Agriculture

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Juan F. Medrano

University of Alaska Fairbanks

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