110 World Cotton Research Conference on Technologies for Prosperity Abstract No. Poster–23 COMBINING GENETIC AND GENOMICS APPROACHES
FOR FIBER QUALITY IMPROVEMENT IN TETRAPLOID COTTON Jean-Marc Lacape1, John Jacobs2 and Danny Llewellyn3
1UMR-AGAP, CIRAD, France, 2Bayer BioScience NV, Belgium, 3CSIRO, Canberra, ACT 2601, Australia Cotton fibers are the premier natural fibers for textile production. The two tetraploid species, Gossypium
barbadense and G. hirsutum, differ significantly in their fiber properties, the former having much longer,
finer and stronger fibers. A better understanding of the genetics and underlying biological causes of these differences will aid further improvement of cotton quality through breeding and biotechnology. In the recent period, the availability of a genetically stable interspecific RIL population (140 F2:8 individuals) allowed CIRAD, Bayer Crop Science and CSIRO, to benefit from the financial support of the French National Research Agency (ANR) for a project named “genetic and genomic dissection of cotton fiber quality”. The genetic map of the RILs (800 loci, 2044 cM) and more importantly the consensus map resulting from its integration with the BC1 map (75 BC1 + 140 RILs, 1745 loci, 3637 cM) now constitutes one of the best basis internationally, as it offers a maximized number of bridge loci in common with other interspecific G hirsutum x G barbadense maps (TAG, 2009, 119:281-292). The phenotypic characterisation of the fibers of the RILs on 4 continents and several growing seasons generated 11 independent fiber data sets which served for QTL mapping. The 167 significant fiber QTLs (LOD>permutation based threshold) and 651 putative LOD peaks (LOD>2) from these RIL experiments were integrated with QTLs from the BC1 and from the literature. The meta-analysis of this large set of QTL data using MetaQTL software indicated that some chromosome regions hosted “confirmed” QTLs. An effective co-localization of unidirectional (similar sign of additivity) LOD peaks from at least 5 independent data sets was observed in at least 26 cases (a given fiber trait and a given chromosome region) where meta-clusters of QTLs were defined (BMC Plant Biol, 2010, 10:132). The fiber trancriptomes of the 2 parents and of a set of 88 RILs were analyzed with focus on 2 key developmental stages (10 and 22 days post anthesis) using 2 profiling techniques, quantitative 3’ targeting cDNA-AFLP and microarray hybridizations. Both platforms showed their utility for the population-wide profiling of the differential expression of an important number of gene transcripts (4,400 and 22,000 respectively). QTL analysis applied to gene expression resulted in large numbers of (>5000) expression QTLs. This is the first report of an application of a genetical genomics approach in cotton.
Abstract No. Poster–24 COMPLETE SEQUENCE OF WILD COTTON (
G. turneri
) CHLOROPLAST GENOME:STRUCTURAL ORGANIZATION AND PHYLOGENETIC RELATIONS TO OTHER ANGIOSPERMS
Farshid Talat and Kunbo Wang
Cotton Research Institute, Chinese Academy of Agricultural Sciences, China
Recently, the complete chloroplast genome sequences of many important crop plants were determined. Economically, cotton is one of the most important crop plants for many countries. Unfortunately, genetically modified cotton has the potential to hybridize with other cultivated and wild relatives, resulting in geographical restrictions to cultivation. However, chloroplast genetic engineering offers the possibility of containment because of maternal inheritance of transgenes. The complete chloroplast genome of wild cotton provides essential information required for genetic engineering. In addition, the sequence data will be used to assess phylogenetic relationships among the major clades of rosids using wild cotton and other completely sequenced angiosperm chloroplast genomes. In this project, we will present the complete sequence of the chloroplast genome of wild cotton, Gossypium turneri. One goal of this project is to examine gene content and gene order, and determine the distribution and location of repeated sequences.
WORLD COTTON RESEARCH CONFERENCE-5
Renaissance Convention Centre, Mumbai 7-11 November 2011
Theme: Technologies for Prosperity
Editors
Dr. M.V. Venugopalan Mrs. Mukta Chakrabarty Dr. R.H. Balasubramanya
Dr. Sandhya Kranthi Dr. Suman Bala Singh
Dr. G. Balasubramani Dr. V.N. Waghmare
Dr. A.R. Reddy
Organized by
International Cotton Advisory Committee,
Washington, DC, USA Indian Society for Cotton Improvement, Mumbai, India Indian Council of Agriclutural Research, New Delhi, India
EXCEL INDIA PUBLISHERS
New Delhi
First Impression: 2011
© Indian Society for Cotton Improvement, Mumbai
World Cotton Research Conference on Technologies for Prosperity
ISBN: 978-93-81361-49-8
No part of this publication may be reproduced or transmitted in any form by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the copyright owners.
DISCLAIMER
The authors are solely responsible for the contents of the papers compiled in this volume. The publishers or editors do not take any responsibility for the same in any manner. Errors, if any, are purely unintentional and readers are requested to communicate such errors to the editors or publishers to avoid discrepancies in future.
Published by
EXCEL INDIA PUBLISHERS
61/28, Dalpat Singh Building, Pratik Market, Munirka, New Delhi-110067 Tel: +91-11-2671 1755/ 2755/ 3755/ 5755 z Fax: +91-11-2671 6755 E-mail: [email protected]
Website: www.excelpublish.com
Typeset by
Excel Publishing Services, New Delhi-110067 E-mail: [email protected]
Printed by
Excel Printing Universe, New Delhi-110067 E-mail: [email protected]
