QTL mapping for salinity tolerance using an elite rice (Oryza sativa) breeding population

Article


Dahanayaka, B.A., Gimhani, D.R., Kottearachchi, N.S. and Samarasighe, W.L.G.. 2017. "QTL mapping for salinity tolerance using an elite rice (Oryza sativa) breeding population." Sabrao Journal of Breeding and Genetics. 49 (2), pp. 123-134.
Article Title

QTL mapping for salinity tolerance using an elite rice (Oryza sativa) breeding population

Article CategoryArticle
AuthorsDahanayaka, B.A., Gimhani, D.R., Kottearachchi, N.S. and Samarasighe, W.L.G.
Journal TitleSabrao Journal of Breeding and Genetics
Journal Citation49 (2), pp. 123-134
Number of Pages12
Year2017
PublisherMisima: The Society for the Advancement of Breeding Researches in Asia and Oceania
Place of PublicationThailand
ISSN1029-7073
2224-8978
Web Address (URL)https://sabraojournal.org/wp-content/uploads/2017/09/SABRAO-J-Breed-Genet-49-2-123-134-Dahanayaka.pdf
Abstract

A recombinant inbred line (RIL) population was previously developed with two high yielding rice varieties, At354, a salt tolerant parent and Bg352, a salt susceptible parent aiming at identifying salinity tolerant QTLs together with varietal development. In this study we used 100 F5 RILs of At354 x Bg352 to characterize the population and map genes for salt tolerance. Nine morpho-physiological parameters related to salinity tolerance were assessed under hydroponics supplemented with 100 mM NaCl concentration (12 dS/m). Frequency distributions of these 9 morpho-physiological traits, standard evaluation score, salinity survival index, shoot length, root length, shoot dry weight, root dry weight, shoot Na+ concentration, shoot K+ concentration and shoot Na+/K+ ratio indicated the broad spectrum of genetic variability in the RIL population under salinity stress while correlation coefficients also were significant with each other. Broad sense heritability also proved that the population was suitable for the gene mapping for salinity tolerance. Composite Interval mapping revealed 6 QTLs distributed in chromosome 1 and 4 namely, qSSI1, qSL1, qSNK1, qSL4, qSNK4 and qSSI4, explaining 10.8%, 10%, 8.9%, 15%, 11% and 16% of the phenotypic variations respectively. In all QTLs At354 allele contributed in favour of salinity tolerance. However, closer flanking markers could not be detected due to the low rate of polymorphism in SSR markers which generated low density molecular map. Therefore, further studies incorporating high throughput marker technologies would be necessary for detecting QTLs with narrow marker intervals.

KeywordsElite population; Oryza sativa; QTL mapping; Recombinant inbred lines; Salinity tolerance; SSR markers
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020300409. Crop and pasture protection (incl. pests, diseases and weeds)
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FunderWellcome Trust
Byline AffiliationsWayamba University of Sri Lanka
Rice Research and Development Institute, Sri Lanka
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