Open Access
RFLP and SSLP mapping of salinity tolerance genes in chromosome 1 of rice (Oryza sativa L.) using recombinant inbred lines
P S Bonilla,Jan Dvorak,David J. Mackill,Karin R. Deal,Glenn B. Gregorio +4 more
- 01 Jan 2002
- Vol. 85, Iss: 1, pp 64-74
290
TL;DR: In this paper, the authors used restriction fragment length polymorphism (RFLP) and simple sequence length polymorphisms (SSLP) markers to saturate the segment of chromosome 1 containing a major salt tolerance gene controlling the Na+/K+ ratio.
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Abstract: The study used restriction fragment length polymorphism (RFLP) and simple sequence length polymorphism (SSLP) markers to saturate the segment of chromosome 1 containing a major salt tolerance gene controlling the Na+/K+ ratio. RFLP and SSLP analyses were conducted to construct linkage maps based on an F8 recombinant inbred line (RIL) mapping population. The RFLP and SSLP linkage maps constructed in this study were found to be in the same order as published maps, implying the reliability of the constructed maps. The integrated RFLP and SSLP linkage map had a total of 129.9 cM, with an average interval size of 6.8 cM. Two RFLP markers C52903S and C1733S, with 10.1 and 22.6 cM distance, respectively, flanked the major gene, Saltol. A published RFLP-saturated molecular map based on an F2 mapping population had a 5 cM interval between the two markers, C52903S and C1733S, which implies that the Saltol marker and the use of less than 80 RILs may be overestimating the distance between the two markers, and hence, the actual location of the salt tolerance gene. Two microsatellite markers, RM23 and RM140, flanked the Saltol gene with 16.4 and 10.1 cM distance, respectively. A common QTL for three quantitative traits (low Na+ absorption, high K+ adsorption, and a low Na+/K+ absorption ratio) was observed from position 50-65 cM segment of the map with peak LOD score 6.7. The Na+, K+ and the Na+/K+ absorption ratio QTLs accounted for 39.2, 43.2% of the phenotypic variation. RM140, a microsatellite marker, and C52903S, a RFLP marker, flanked the QTL peak within a 91.9 cM interval
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Citations
Approaches to increasing the salt tolerance of wheat and other cereals
TL;DR: Physiological mechanisms and selectable indicators of gene action that underlie traits for salt tolerance are described, with the aim of promoting new screening methods to identify genetic variation for increasing the salt tolerance of cereal crops.
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Rice and Water
TL;DR: The Comprehensive Assessment of Water Management in Agriculture (CA) seeks answers to the question of how freshwater resources can be developed and managed to feed the world's population and reduce poverty, while at the same time promoting environmental security.
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Characterizing the Saltol Quantitative Trait Locus for Salinity Tolerance in Rice
Michael J. Thomson,Marjorie de Ocampo,James Egdane,M. Akhlasur Rahman,M. Akhlasur Rahman,A.G. Sajise,Dante Adorada,Dante Adorada,Ellen Tumimbang-Raiz,Eduardo Blumwald,Zeba I. Seraj,Rakesh Singh,Glenn B. Gregorio,Abdelbagi M. Ismail +13 more
TL;DR: While the Saltol locus presents a complex scenario, it provides an opportunity for marker-assisted backcrossing to improve salt tolerance of popular varieties followed by targeting multiple loci through QTL pyramiding for areas with higher salt stress.
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Comparative Transcriptional Profiling of Two Contrasting Rice Genotypes under Salinity Stress during the Vegetative Growth Stage
Harkamal Walia,Clyde Wilson,Pascal Condamine,Xuan Liu,Abdelbagi M. Ismail,Linghe Zeng,Steve Wanamaker,Jayati Mandal,Jin Xu,Xinping Cui,Timothy J. Close +10 more
TL;DR: In this article, the authors used the Affymetrix rice genome array containing 55,515 probe sets to explore the transcriptome of the salt-tolerant and salt-sensitive genotypes under control and salinity stressed conditions during vegetative growth.
Improving Salinity Tolerance in Cereals
Muhammad Shahbaz,Muhammad Ashraf +1 more
TL;DR: This review focuses on how improvements have been made in salt tolerance in cereals through different biotic means, such as conventional breeding, marker assisted selection and genetic engineering.
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