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Featured researches published by Yinping Jiao.


Nucleic Acids Research | 2014

Gramene 2013: comparative plant genomics resources

Marcela K. Monaco; Joshua C. Stein; Sushma Naithani; Sharon Wei; Palitha Dharmawardhana; Sunita Kumari; Vindhya Amarasinghe; Ken Youens-Clark; James Thomason; Justin Preece; Shiran Pasternak; Andrew Olson; Yinping Jiao; Zhenyuan Lu; Daniel M. Bolser; Arnaud Kerhornou; Daniel M. Staines; Brandon Walts; Guanming Wu; Peter D'Eustachio; Robin Haw; David Croft; Paul J. Kersey; Lincoln Stein; Pankaj Jaiswal; Doreen Ware

Gramene (http://www.gramene.org) is a curated online resource for comparative functional genomics in crops and model plant species, currently hosting 27 fully and 10 partially sequenced reference genomes in its build number 38. Its strength derives from the application of a phylogenetic framework for genome comparison and the use of ontologies to integrate structural and functional annotation data. Whole-genome alignments complemented by phylogenetic gene family trees help infer syntenic and orthologous relationships. Genetic variation data, sequences and genome mappings available for 10 species, including Arabidopsis, rice and maize, help infer putative variant effects on genes and transcripts. The pathways section also hosts 10 species-specific metabolic pathways databases developed in-house or by our collaborators using Pathway Tools software, which facilitates searches for pathway, reaction and metabolite annotations, and allows analyses of user-defined expression datasets. Recently, we released a Plant Reactome portal featuring 133 curated rice pathways. This portal will be expanded for Arabidopsis, maize and other plant species. We continue to provide genetic and QTL maps and marker datasets developed by crop researchers. The project provides a unique community platform to support scientific research in plant genomics including studies in evolution, genetics, plant breeding, molecular biology, biochemistry and systems biology.


Nature | 2017

Improved maize reference genome with single-molecule technologies

Yinping Jiao; Paul Peluso; Jinghua Shi; Tiffany Y. Liang; Michelle C. Stitzer; Bo Wang; Michael S. Campbell; Joshua C. Stein; Xuehong Wei; Chen Shan Chin; Katherine Guill; Michael Regulski; Sunita Kumari; Andrew Olson; Jonathan I. Gent; Kevin L. Schneider; Thomas K. Wolfgruber; Michael R. May; Nathan M. Springer; Eric Antoniou; W. Richard McCombie; Gernot G. Presting; Michael D. McMullen; Jeffrey Ross-Ibarra; R. Kelly Dawe; Alex Hastie; David Rank; Doreen Ware

Complete and accurate reference genomes and annotations provide fundamental tools for characterization of genetic and functional variation. These resources facilitate the determination of biological processes and support translation of research findings into improved and sustainable agricultural technologies. Many reference genomes for crop plants have been generated over the past decade, but these genomes are often fragmented and missing complex repeat regions. Here we report the assembly and annotation of a reference genome of maize, a genetic and agricultural model species, using single-molecule real-time sequencing and high-resolution optical mapping. Relative to the previous reference genome, our assembly features a 52-fold increase in contig length and notable improvements in the assembly of intergenic spaces and centromeres. Characterization of the repetitive portion of the genome revealed more than 130,000 intact transposable elements, allowing us to identify transposable element lineage expansions that are unique to maize. Gene annotations were updated using 111,000 full-length transcripts obtained by single-molecule real-time sequencing. In addition, comparative optical mapping of two other inbred maize lines revealed a prevalence of deletions in regions of low gene density and maize lineage-specific genes.


Nucleic Acids Research | 2016

Gramene 2016: comparative plant genomics and pathway resources

Marcela K. Tello-Ruiz; Joshua C. Stein; Sharon Wei; Justin Preece; Andrew Olson; Sushma Naithani; Vindhya Amarasinghe; Palitha Dharmawardhana; Yinping Jiao; Joseph Mulvaney; Sunita Kumari; Kapeel Chougule; Justin Elser; Bo Wang; James Thomason; Daniel M. Bolser; Arnaud Kerhornou; Brandon Walts; Nuno A. Fonseca; Laura Huerta; Maria Keays; Y. Amy Tang; Helen Parkinson; Antonio Fabregat; Sheldon J. McKay; Joel Weiser; Peter D'Eustachio; Lincoln Stein; Robert Petryszak; Paul J. Kersey

Gramene (http://www.gramene.org) is an online resource for comparative functional genomics in crops and model plant species. Its two main frameworks are genomes (collaboration with Ensembl Plants) and pathways (The Plant Reactome and archival BioCyc databases). Since our last NAR update, the database website adopted a new Drupal management platform. The genomes section features 39 fully assembled reference genomes that are integrated using ontology-based annotation and comparative analyses, and accessed through both visual and programmatic interfaces. Additional community data, such as genetic variation, expression and methylation, are also mapped for a subset of genomes. The Plant Reactome pathway portal (http://plantreactome.gramene.org) provides a reference resource for analyzing plant metabolic and regulatory pathways. In addition to ∼200 curated rice reference pathways, the portal hosts gene homology-based pathway projections for 33 plant species. Both the genome and pathway browsers interface with the EMBL-EBIs Expression Atlas to enable the projection of baseline and differential expression data from curated expression studies in plants. Gramenes archive website (http://archive.gramene.org) continues to provide previously reported resources on comparative maps, markers and QTL. To further aid our users, we have also introduced a live monthly educational webinar series and a Gramene YouTube channel carrying video tutorials.


Nature Communications | 2016

Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing

Bo Wang; Elizabeth Tseng; Michael Regulski; Tyson A. Clark; Ting Hon; Yinping Jiao; Zhenyuan Lu; Andrew Olson; Joshua C. Stein; Doreen Ware

Zea mays is an important genetic model for elucidating transcriptional networks. Uncertainties about the complete structure of mRNA transcripts limit the progress of research in this system. Here, using single-molecule sequencing technology, we produce 111,151 transcripts from 6 tissues capturing ∼70% of the genes annotated in maize RefGen_v3 genome. A large proportion of transcripts (57%) represent novel, sometimes tissue-specific, isoforms of known genes and 3% correspond to novel gene loci. In other cases, the identified transcripts have improved existing gene models. Averaging across all six tissues, 90% of the splice junctions are supported by short reads from matched tissues. In addition, we identified a large number of novel long non-coding RNAs and fusion transcripts and found that DNA methylation plays an important role in generating various isoforms. Our results show that characterization of the maize B73 transcriptome is far from complete, and that maize gene expression is more complex than previously thought.


The Plant Cell | 2016

A Sorghum Mutant Resource as an Efficient Platform for Gene Discovery in Grasses

Yinping Jiao; John J. Burke; Ratan Chopra; Gloria Burow; Junping Chen; Bo Wang; Chad Hayes; Yves Y. Emendack; Doreen Ware; Zhanguo Xin

Sequencing of 256 sorghum mutant families uncovered 1.8 million mutations, providing an efficient resource for causal gene/SNP variant to trait association with wide application to cereal crops. Sorghum (Sorghum bicolor) is a versatile C4 crop and a model for research in family Poaceae. High-quality genome sequence is available for the elite inbred line BTx623, but functional validation of genes remains challenging due to the limited genomic and germplasm resources available for comprehensive analysis of induced mutations. In this study, we generated 6400 pedigreed M4 mutant pools from EMS-mutagenized BTx623 seeds through single-seed descent. Whole-genome sequencing of 256 phenotyped mutant lines revealed >1.8 million canonical EMS-induced mutations, affecting >95% of genes in the sorghum genome. The vast majority (97.5%) of the induced mutations were distinct from natural variations. To demonstrate the utility of the sequenced sorghum mutant resource, we performed reverse genetics to identify eight genes potentially affecting drought tolerance, three of which had allelic mutations and two of which exhibited exact cosegregation with the phenotype of interest. Our results establish that a large-scale resource of sequenced pedigreed mutants provides an efficient platform for functional validation of genes in sorghum, thereby accelerating sorghum breeding. Moreover, findings made in sorghum could be readily translated to other members of the Poaceae via integrated genomics approaches.


GigaScience | 2018

Construction of the third-generation Zea mays haplotype map

Robert Bukowski; Xiaosen Guo; Yanli Lu; Cheng Zou; Bing He; Zhengqin Rong; Bo Wang; Dawen Xu; Bicheng Yang; Chuanxiao Xie; Longjiang Fan; Shibin Gao; Xun Xu; Gengyun Zhang; Yingrui Li; Yinping Jiao; John Doebley; Jeffrey Ross-Ibarra; Anne Lorant; Vince Buffalo; M. Cinta Romay; Edward S. Buckler; Doreen Ware; Jinsheng Lai; Qi Sun; Yunbi Xu

Abstract Background Characterization of genetic variations in maize has been challenging, mainly due to deterioration of collinearity between individual genomes in the species. An international consortium of maize research groups combined resources to develop the maize haplotype version 3 (HapMap 3), built from whole-genome sequencing data from 1218 maize lines, covering predomestication and domesticated Zea mays varieties across the world. Results A new computational pipeline was set up to process more than 12 trillion bp of sequencing data, and a set of population genetics filters was applied to identify more than 83 million variant sites. Conclusions We identified polymorphisms in regions where collinearity is largely preserved in the maize species. However, the fact that the B73 genome used as the reference only represents a fraction of all haplotypes is still an important limiting factor.


Current Plant Biology | 2016

Gramene Database: Navigating Plant Comparative Genomics Resources.

Parul Gupta; Sushma Naithani; Marcela K. Tello-Ruiz; Kapeel Chougule; Peter D’Eustachio; Antonio Fabregat; Yinping Jiao; Maria Keays; Young Koung Lee; Sunita Kumari; Joseph Mulvaney; Andrew Olson; Justin Preece; Joshua C. Stein; Sharon Wei; Joel Weiser; Laura Huerta; Robert Petryszak; Paul J. Kersey; Lincoln Stein; Doreen Ware; Pankaj Jaiswal

Gramene (http://www.gramene.org) is an online, open source, curated resource for plant comparative genomics and pathway analysis designed to support researchers working in plant genomics, breeding, evolutionary biology, system biology, and metabolic engineering. It exploits phylogenetic relationships to enrich the annotation of genomic data and provides tools to perform powerful comparative analyses across a wide spectrum of plant species. It consists of an integrated portal for querying, visualizing and analyzing data for 44 plant reference genomes, genetic variation data sets for 12 species, expression data for 16 species, curated rice pathways and orthology-based pathway projections for 66 plant species including various crops. Here we briefly describe the functions and uses of the Gramene database.


Nucleic Acids Research | 2018

Gramene 2018: unifying comparative genomics and pathway resources for plant research

Marcela K. Tello-Ruiz; Sushma Naithani; Joshua C. Stein; Parul Gupta; Michael S. Campbell; Andrew Olson; Sharon Wei; Justin Preece; Matthew Geniza; Yinping Jiao; Young Koung Lee; Bo Wang; Joseph Mulvaney; Kapeel Chougule; Justin Elser; Noor Al-Bader; Sunita Kumari; James Thomason; Vivek Kumar; Daniel M. Bolser; Guy Naamati; Electra Tapanari; Nuno A. Fonseca; Laura Huerta; Haider Iqbal; Maria Keays; Alfonso Munoz-Pomer Fuentes; Amy Tang; Antonio Fabregat; Peter D’Eustachio

Abstract Gramene (http://www.gramene.org) is a knowledgebase for comparative functional analysis in major crops and model plant species. The current release, #54, includes over 1.7 million genes from 44 reference genomes, most of which were organized into 62,367 gene families through orthologous and paralogous gene classification, whole-genome alignments, and synteny. Additional gene annotations include ontology-based protein structure and function; genetic, epigenetic, and phenotypic diversity; and pathway associations. Gramenes Plant Reactome provides a knowledgebase of cellular-level plant pathway networks. Specifically, it uses curated rice reference pathways to derive pathway projections for an additional 66 species based on gene orthology, and facilitates display of gene expression, gene–gene interactions, and user-defined omics data in the context of these pathways. As a community portal, Gramene integrates best-of-class software and infrastructure components including the Ensembl genome browser, Reactome pathway browser, and Expression Atlas widgets, and undergoes periodic data and software upgrades. Via powerful, intuitive search interfaces, users can easily query across various portals and interactively analyze search results by clicking on diverse features such as genomic context, highly augmented gene trees, gene expression anatomograms, associated pathways, and external informatics resources. All data in Gramene are accessible through both visual and programmatic interfaces.


Nature Genetics | 2018

The maize W22 genome provides a foundation for functional genomics and transposon biology

Nathan M. Springer; Sarah N. Anderson; Carson M. Andorf; Kevin R. Ahern; Fang Bai; Omer Barad; W. Brad Barbazuk; Hank W. Bass; Kobi Baruch; Gil Ben-Zvi; Edward S. Buckler; Robert Bukowski; Michael S. Campbell; Ethalinda K. S. Cannon; Paul Chomet; R. Kelly Dawe; Ruth Davenport; Hugo K. Dooner; Limei He Du; Chunguang Du; Katherine A. Easterling; Christine M. Gault; Jiahn-Chou Guan; Charles T. Hunter; Georg Jander; Yinping Jiao; Karen E. Koch; Guy Kol; Tobias G. Köllner; Toru Kudo

The maize W22 inbred has served as a platform for maize genetics since the mid twentieth century. To streamline maize genome analyses, we have sequenced and de novo assembled a W22 reference genome using short-read sequencing technologies. We show that significant structural heterogeneity exists in comparison to the B73 reference genome at multiple scales, from transposon composition and copy number variation to single-nucleotide polymorphisms. The generation of this reference genome enables accurate placement of thousands of Mutator (Mu) and Dissociation (Ds) transposable element insertions for reverse and forward genetics studies. Annotation of the genome has been achieved using RNA-seq analysis, differential nuclease sensitivity profiling and bisulfite sequencing to map open reading frames, open chromatin sites and DNA methylation profiles, respectively. Collectively, the resources developed here integrate W22 as a community reference genome for functional genomics and provide a foundation for the maize pan-genome.Sequencing and de novo assembly of the maize W22 reference genome enable accurate placement of Mutator (Mu) and Dissociation (Ds) transposable element insertions, providing a foundation for maize functional genomics and transposon biology.


Nature Genetics | 2018

Extensive intraspecific gene order and gene structural variations between Mo17 and other maize genomes

Silong Sun; Yingsi Zhou; Jian Chen; Junpeng Shi; Haiming Zhao; Hainan Zhao; Weibin Song; Mei Zhang; Yang Cui; Xiaomei Dong; Han Liu; Xuxu Ma; Yinping Jiao; Bo Wang; Xuehong Wei; Joshua C. Stein; Jeff Glaubitz; Fei Lu; Guoliang Yu; Chengzhi Liang; Kevin Fengler; Bailin Li; Antoni Rafalski; Doreen Ware; Edward S. Buckler; Jinsheng Lai

Maize is an important crop with a high level of genome diversity and heterosis. The genome sequence of a typical female line, B73, was previously released. Here, we report a de novo genome assembly of a corresponding male representative line, Mo17. More than 96.4% of the 2,183 Mb assembled genome can be accounted for by 362 scaffolds in ten pseudochromosomes with 38,620 annotated protein-coding genes. Comparative analysis revealed large gene-order and gene structural variations: approximately 10% of the annotated genes were mutually nonsyntenic, and more than 20% of the predicted genes had either large-effect mutations or large structural variations, which might cause considerable protein divergence between the two inbred lines. Our study provides a high-quality reference-genome sequence of an important maize germplasm, and the intraspecific gene order and gene structural variations identified should have implications for heterosis and genome evolution.The de novo genome assembly of maize line Mo17 and comparative analysis with other sequenced maize lines show extensive gene-order variations. This study provides insights into maize evolution and has implications for improving maize hybrid lines.

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Doreen Ware

Cold Spring Harbor Laboratory

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Bo Wang

Cold Spring Harbor Laboratory

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Joshua C. Stein

Cold Spring Harbor Laboratory

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Andrew Olson

Cold Spring Harbor Laboratory

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John J. Burke

Cold Spring Harbor Laboratory

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Sunita Kumari

Cold Spring Harbor Laboratory

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Zhanguo Xin

Cold Spring Harbor Laboratory

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Sharon Wei

Cold Spring Harbor Laboratory

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