Open Access
ARTICLE
Characterization and Candidate Gene Analysis of the Yellow-Green Leaf Mutant ygl16 in Rice (Oryza sativa L.)
1 Rice Research Institute, Key Laboratory of Application and Safety Control of Genetically Modified Crops, Academy of Agricultural Sciences, Southwest University, Chongqing, 400716, China
2 Chongqing Three Gorges Academy of Agricultural Sciences, Chongqing, 404155, China
* Corresponding Author: Changwei Zhang. Email:
# These authors contribute equally to this work and should be considered co-first authors
(This article belongs to the Special Issue: High-Yield Rice Physiology & Genetics)
Phyton-International Journal of Experimental Botany 2021, 90(4), 1103-1117. https://doi.org/10.32604/phyton.2021.015532
Received 25 December 2020; Accepted 26 January 2021; Issue published 27 April 2021
Abstract
Leaf color mutants are ideal materials for studying many plant physiological and metabolic processes such as photosynthesis, photomorphogenesis, hormone physiology and disease resistance. In this study, the genetically stable yellow-green leaf mutant ygl16 was identified from mutated “Xinong 1B”. Compared with the wild type, the pigment concentration and photosynthetic capacity of the ygl16 decreased significantly. The ultrastructural observation showed that the distribution of thylakoid lamellae was irregular in ygl16 chloroplasts, and the grana and matrix lamellae were blurred and loose in varied degrees, and the chloroplast structure was disordered, while the osmiophilic corpuscles increased. The results of the genetic analysis and mapping showed that the phenotype of ygl16 was controlled by a pair of recessive nuclear gene. The gene located in the 56Kb interval between RM25654 and R3 on the long arm of chromosome 10. The sequencing results showed that the 121st base of the first intron of the candidate gene OsPORB/FGL changed from A to T in the interval. qRT-PCR results showed that the expression of chlorophyll synthase-related genes in the mutant decreased.Keywords
Cite This Article
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.