Litcius/Paper detail

A massively parallel barcoded sequencing pipeline enables generation of the first ORFeome and interactome map for rice

Shayne D. Wierbowski, Tommy V. Vo, Pascal Falter‐Braun, Timothy O. Jobe, Lars Kruse, Xiaomu Wei, Jin Liang, Michael J. Meyer, Nurten Akturk, Christen A. Rivera-Erick, Nicolas A. Cordero, Mauricio I. Paramo, Elnur Elyar Shayhidin, Marta Bertolotti, Nathaniel D. Tippens, Kazi M. Akther, Rita Sharma, Yūichi Katayose, Kourosh Salehi‐Ashtiani, Tong Hao, Pamela C. Ronald, Joseph R. Ecker, Peter A. Schweitzer, Shoshi Kikuchi, Hiroshi Mizuno, David E. Hill, Marc Vidal, Gaurav D. Moghe, Susan R. McCouch, Haiyuan Yu

2020Proceedings of the National Academy of Sciences26 citationsDOIOpen Access PDF

Abstract

Significance Although recent advances in next-generation sequencing have facilitated the construction of whole genomes from hundreds of organisms, considerable barriers still restrict the functional understanding of the genes that they contain. An initial prerequisite for such an understanding is the availability of high-quality gene libraries (ORFeomes) amenable to high-throughput functional experiments. Here we develop a massively parallel next-generation sequencing method, PLATE-seq, and leverage the method to construct an ORFeome for rice, providing a toolkit for systematic functional study in an agricultural species. To demonstrate the utility of these resources, we present a map of rice protein–protein interactions.

Topics & Concepts

Massive parallel sequencingMassively parallelComputational biologyInteractomeLeverage (statistics)Pipeline (software)Computer scienceGenomeBiologySequence assemblyDNA sequencingGeneGeneticsArtificial intelligenceParallel computingProgramming languageGene expressionTranscriptomeGenomics and Phylogenetic StudiesChromosomal and Genetic VariationsRNA and protein synthesis mechanisms