REGULAR ARTICLES

Cell Research (2000), 10, 325--335

Cell Research (2000), 10, 325--335

Identification and genetic mapping of four novel genes that regulate leaf development in Arabidopsis

SUN Yue1,*, Wei ZHANG1,*, Feng Ling LI1, Ying Li GUO 2, Tian Lei LIU1, Hai HUANG1,3,**

1 Shanghai Institute of Plant Physiology, Chinese Academy of Science, 300 Fenglin Road, Shanghai 200032, China
2 School of Life Sciences, University of Science and Technology of China. P.O.Box 4, Hefei, Anhui 230027, China
3 Shanghai Research Center of Life Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China

ABSTRACT

    Molecular and genetic characterizations of mutants have led to a better understanding of many developmental processes in the model system Arabidopsis thaliana. However, the leaf development that is specific to plants has been little studied. With the aim of contributing to the genetic dissection of leaf development, we have performed a large-scare screening for mutants with abnormal leaves. Among a great number of leaf mutants we have generated by T-DNA and transposon tagging and ethylmethae sulfonate (EMS) mutagenesis, four independent mutant lines have been identified and studied genetically. Phenotypes of these mutant lines represent the defects of four novel nuclear genes designated LL1 ( LOTUS LEAF 1), LL2 ( LOTUS LEAF 2), URO ( UPRIGHT ROSETTE), and EIL ( ENVIRONMENT CONDITION INDUCED LESION). The phenotypic analysis indicates that these genes play important roles during leaf development. For the further genetic analysis of these genes and the map-based cloning of LL1 and LL2, we have mapped these genes to chromosome regions with an efficient and rapid mapping method.

Key words:Arabidopsis, leaf mutant, leaf development, genetic mapping.

Table of Contents
Download as printable (PDF) file
Full Text (html)file


Home
Archive
Contract us
Links
About CR
author info

copyright©2006 2006 Institute of Biochemistry and Cell Biology,SIBS,CAS

  ISSN:1001-0602(Print),1748-7838(Online);CN:31-1568
               suggested resolution 1024*76