Literature DB >> 14669504

Mapping QTL for traits associated with resistance to ferrous iron toxicity in rice (Oryza sativa L.), using japonica chromosome segment substitution lines.

Jian-Lin Wan1, Hu-Qu Zhai, Jian-Min Wan, Hideshi Yasui, Atsushi Yoshimura.   

Abstract

A mapping population of 66 japonica chromosome segment substitution lines (CSSLs) in indica genetic background, derived from a cross between a japonica variety Asominori and an indica variety IR24 by the single-seed descent, backcrossing and marker-assisted selection, was used to detect quantitative trait loci (QTLs) for leaf bronzing index (LBI), stem dry weight (SDW), plant height (PH), root length (RL) and root dry weight (RDW) under Fe2+ stress condition in rice. Two parents and 66 japonica CSSLs were phenotyped for the traits by growing them in Fe2+ toxicity nutrient solution. A total of fourteen QTLs were detected on chromosome 3, 6, 7, 9, 11 and 12, respectively, with LOD of QTLs ranging from 2.72 to 6.63. Three QTLs controlling LBI were located at the region of C515-XNpb279, R2638-C1263 and G1465-C950 on chromosome 3, 9 and 11, their contributions to whole variation were 16.45%, 11.16% and 28.02%, respectively. Comparing with the other mapping results, the QTL for LBI located at the region of C515-XNpb279 on chromosome 3 was identical with the QTL for chlorophyll content on a rice function map. The results indicated that ferrous iron toxicity of rice is characterized by bronzing spots on the lower leaves, which spread over the whole leaves, causing the lower leaves to turn dark gray and to product chlorophyll catabolites or derivatives which reduce cytotoxicity of some heavy metals, such as ferrous iron. Furthermore, the QTL for LBI, SDW and RDW located at the region of G1465-C950 on chromosome 11 is a major QTL. Whether the QTL for SDW, PH, RL and RDW at the region of XNpb386-XNpb342 on chromosome 6 is associated with resistance to ferrous iron toxicity need further studies. Our goal is to identify breeding materials for resistance to Fe2+ toxicity through marker-assisted selection based on the detected markers.

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Year:  2003        PMID: 14669504

Source DB:  PubMed          Journal:  Yi Chuan Xue Bao        ISSN: 0379-4172


  12 in total

1.  Dynamic expression of nine QTLs for tiller number detected with single segment substitution lines in rice.

Authors:  Guifu Liu; Ruizhen Zeng; Haitao Zhu; Zemin Zhang; Xiaohua Ding; Fangming Zhao; Wentao Li; Guiquan Zhang
Journal:  Theor Appl Genet       Date:  2008-10-24       Impact factor: 5.699

2.  Unconditional and conditional QTL mapping for the developmental behavior of tiller number in rice (Oryza sativa L.).

Authors:  Guifu Liu; Haitao Zhu; Shuwen Liu; Ruizhen Zeng; Zemin Zhang; Wentao Li; Xiaohua Ding; Fangming Zhao; Guiquan Zhang
Journal:  Genetica       Date:  2010-07-11       Impact factor: 1.082

3.  Detection of QTLs with additive effects and additive-by-environment interaction effects on panicle number in rice (Oryza sativa L.) with single-segment substitution lines.

Authors:  Guifu Liu; Zemin Zhang; Haitao Zhu; Fangming Zhao; Xiaohua Ding; Ruizhen Zeng; Wentao Li; Guiquan Zhang
Journal:  Theor Appl Genet       Date:  2008-02-15       Impact factor: 5.699

4.  Detection and characterization of epistasis between QTLs on plant height in rice using single segment substitution lines.

Authors:  Haitao Zhu; Ziqiang Liu; Xuelin Fu; Ziju Dai; Shaokui Wang; Guiquan Zhang; Ruizhen Zeng; Guifu Liu
Journal:  Breed Sci       Date:  2015-06-01       Impact factor: 2.086

5.  Genetic and physiological analysis of tolerance to acute iron toxicity in rice.

Authors:  Lin-Bo Wu; Mohamad Yusser Shhadi; Glenn Gregorio; Elsa Matthus; Mathias Becker; Michael Frei
Journal:  Rice (N Y)       Date:  2014-05-30       Impact factor: 4.783

6.  Dealing with iron metabolism in rice: from breeding for stress tolerance to biofortification.

Authors:  Railson Schreinert Dos Santos; Artur Teixeira de Araujo; Camila Pegoraro; Antonio Costa de Oliveira
Journal:  Genet Mol Biol       Date:  2017-03-16       Impact factor: 1.771

7.  Association Mapping of Ferrous, Zinc, and Aluminum Tolerance at the Seedling Stage in Indica Rice using MAGIC Populations.

Authors:  Lijun Meng; Baoxiang Wang; Xiangqian Zhao; Kimberly Ponce; Qian Qian; Guoyou Ye
Journal:  Front Plant Sci       Date:  2017-10-26       Impact factor: 5.753

Review 8.  Tolerance of Iron-Deficient and -Toxic Soil Conditions in Rice.

Authors:  Anumalla Mahender; B P Mallikarjuna Swamy; Annamalai Anandan; Jauhar Ali
Journal:  Plants (Basel)       Date:  2019-01-28

9.  Population genetic structure and association mapping for iron toxicity tolerance in rice.

Authors:  S Pawar; E Pandit; I C Mohanty; D Saha; S K Pradhan
Journal:  PLoS One       Date:  2021-03-01       Impact factor: 3.240

10.  Quantitative Trait Loci and Inter-Organ Partitioning for Essential Metal and Toxic Analogue Accumulation in Barley.

Authors:  Stefan Reuscher; Andreas Kolter; Astrid Hoffmann; Klaus Pillen; Ute Krämer
Journal:  PLoS One       Date:  2016-04-14       Impact factor: 3.240

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