Plant Reverse Genetics Methods and Protocols
After the generation of genome sequence data from a wide variety of plants, databases are filled with sequence information of genes with no known biological function, and while bioinformatics tools can help analyze genome sequences and predict gene struct
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Molecular Biology™
Series Editor John M. Walker School of Life Sciences University of Hertfordshire Hatfield, Hertfordshire, AL10 9AB, UK
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Plant Reverse Genetics Methods and Protocols
Edited by
Andy Pereira Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA, USA
Editor Andy Pereira, Ph.D. Virginia Bioinformatics Institute Virginia Tech Blacksburg, VA USA [email protected]
ISSN 1064-3745 e-ISSN 1940-6029 ISBN 978-1-60761-681-8 e-ISBN 978-1-60761-682-5 DOI 10.1007/978-1-60761-682-5 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2010935805 © Springer Science+Business Media, LLC 2011 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Humana Press, c/o Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. While the advice and information in this book are believed to be true and accurate at the date of going to press, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Humana Press is part of Springer Science+Business Media (www.springer.com)
Preface Plant biology is at the crossroads, integrating the data from genomics into knowledge and understanding of important biological processes. With the generation of genome sequence data from model and other plants, databases are filled with sequence information of genes with no known biological function. While bioinformatics tools can help analyze genome sequences and predict gene structures, experimental approaches to discover gene functions need to be widely implemented. This book deals with plant functional genomics using reverse genetics methods, namely, from gene sequence to plant gene functions. The methods developed and described by leading researchers in the field are high-throughput and genome-wide in the models Arabidopsis and rice as well as other plants to provide comparative functional genomics information. This book describes methods for the analysis of high-throughput genome sequence data, the identification of noncoding RNA from sequence information, the comprehensive analysis of gene expression by microarrays, and Metabolomic analysis, all of which are supported by scripts to aid thei
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