QTLs mapping of physiological traits related to salt tolerance in young rice seedlings

Sabouri, Hossein; Rezai, A.; Moumeni, Ali; Kavousi, A.; Katouzi, Mahnaz; Sabouri, Atefeh

doi:10.1007/s10535-009-0119-7

Cited by 77 publications

(41 citation statements)

References 27 publications

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“…Therefore, screening for salt tolerance at reproductive stages has been considered to be more useful. The use of physiological characters as selection criteria in salt tolerance breeding requires the identification of the contribution of each individual character to salt tolerance (Sabouri et al, 2009). Panicle weight, tiller numbers per plant and harvest index are important agronomic characters for the prediction of rice yield.…”

Section: Introductionmentioning

confidence: 99%

Phenotypic and genotypic screening of rice genotypes at reproductive stage for salt tolerance

Hossen¹,

Haque

Miah³

et al. 2018

SAARC J Agric

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Salinity screening of 24 rice genotypes was performed at the reproductive stage for evaluating their salt tolerance level. On the basis of yield and yield components, genotypes were categorized as tolerant, susceptible and moderately tolerant. PBRC-30, Ashfal, Horkuch, STL-20 and Pokkali were found as tolerant while Binadhan-7, S-39 L-11, S-37 L-27, S-37 L-36 and S-37 L-39 were found as susceptible. Selected three SSR markers viz. RM336, RM21 and RM510 were used to determine salinity tolerance. The genetic diversity was ranges from 0.8194 to 0.8854 with an average of 0.8530. The highest PCI value was 0.8742 and the lowest was 0.8004 from RM510 and RM21, respectively. The UPGMA clustering system generated six genetic clusters. The highest genetically dissimilarity of (Cluster 1) vs (Cluster 2 sub-cluster A) and the crossing would be helpful for salt tolerant rice development. Thus, selected SSR primers and genotypes would be useful in marker assisted breeding, quantitative trait loci (QTL) mapping and gene pyramiding in breeding programmed for improvement of rice for salt tolerance.

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Section: Introductionmentioning

confidence: 99%

Phenotypic and genotypic screening of rice genotypes at reproductive stage for salt tolerance

Hossen¹,

Haque

Miah³

et al. 2018

SAARC J Agric

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“…Saltol belongs to QTL and has been defined in chromosome 1 of salt tolerant Pokkali rice [25,26]. A technology of molecular genetic screening for salt tolerance enables to immediately select forms of plants having target genes and create varieties with predefined properties and without using challenges [27,28]. According to literature data, introduction of Saltol QTL into highly productive varieties stabilizes the rice yields in saline soils [29].…”

Section: Screening Of Rice (Oryzamentioning

confidence: 99%

Estimation and Selection of Parental Forms for Breeding Kazakhstan Salt Tolerant Rice Varieties

et al. 2017

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A b s t r a c tAbout 25 % of the entire land surface is represented by saline soils, and up to 90 % of the total irrigated area -in some regions of Central Asia and the Caucasus, Ukraine and Kazakhstan. Rice-growing region of the Republic of Kazakhstan is also located in the area with high salinity. A challenge for rice growing in Kazakhstan is deteriorating humus and reclamation of soil, rise in soil secondary salinity and degradation. In Kyzylorda region, pollution of surface (up to 3-5 g/l) and ground water (up to 6-7 g/l) by salt residues reaches a critical point. The dominating sulfatechloride-sodium type of salinity is especially toxic for crops. Akdalinski and Karatal zones of irrigation in the Almaty region are also located within the provinces of sulfate-soda and boric biogeochemical soil salinity. According the data of Kazakh Rice Research Institute, in recent years the rice yields and yield quality have sharply decreased -from 50 to 35-48 centners per hectare, and from 65 to 45-50 % of the groats output, respectively. In this regard, the rice breeding for salt tolerance is the most important to ensure food security in Kazakhstan. The objective of our study was the evaluation and selection a promising starting material of rice resistant to different types of salinity. To this end, we studied the rice (Oryza sativa L.) varieties, collection samples and their hybrid combinations of different generations derived from Russia, Kazakhstan and Philippine (34 genotypes in total). For the initial assessment at the seedling stage we used the laboratory screening for tolerance to various types of salinity, i.e. chloride, sulphate and carbonate. Saline stress negatively affected seedling growth and total weight in the studied samples. It was revealed that the carbonate type of salinity is the most toxic for rice plants; the chloride and sulfate types were less adverse. The hybrid collection sample F 2 Khankai 429 ½ 4-09 and as well as varieties Marzhan and Madina accumulated the highest percentage of biomass compared to the control at the salinity of all three types. Therefore, these genotypes are valuable in selection for salt tolerance. Molecular screening of chromosomal DNA regions linked to quantitative trait loci of salt tolerance (Saltol QTL) by PCR with microsatellite markers closely linked to the target chromosomal regions, RM 493 and AP 3206, showed RM 493 to produce polymorphism which allowed to distinguish the studied genotypes contrasting in salt tolerance. Thus RM 493 is informative to rank the rice genetic plasma by salt tolerance.Keywords: Oryza sativa L., rice, chloride salinity, sulfate salinization, carbonate salinity, molecular screening for salt tolerance, SSR markers, selection About 950 million hectares of agricultural lands in the world are saline,

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“…To screen for polymorphisic loci, 12 genotypes (Laotoudao 1, Baidadu, Kendao 12, Xiaobaijingzihuadianbai, Jijing 61, Danjing 8, Shennong 91, Fushiguang, Kongyu 131, Yuntoudao, Zaojinfu, and Pingrang 10), three from Heilongjiang, two each from Jilin, Liaoning, Japan, and Korea, one from DPRK, were selected for primer amplification. Finally, 160 SSR markers were selected to genotype the panel of japonica rice, including 25 markers known to be linked to salt-tolerant QTLs from previous studies (Ammar et al 2009;Mohammadi-Nejad et al 2008;Sabouri et al 2009;Thomson et al 2010;Wang et al 2012a, b).…”

Section: Ssr Marker Genotypingmentioning

confidence: 99%

“…ratio (SKN) is also an important indicator to evaluate salt tolerance in rice. In recent decades, using the rice seedling salt tolerance indicators mentioned above and other indicators, many studies have been reported with linkage mapping of QTL for salt tolerance at the seedling stage (Kim et al 2009;Bonilla et al 2002;Koyama et al 2001;Lee et al 2007;Lin et al 2004;Prasad et al 2000;Sabouri et al 2009;Zang et al 2008). For example, 11 QTLs for survival days of seedlings and the Na ?…”

Section: Introductionmentioning

confidence: 99%

Genetic structure, linkage disequilibrium and association mapping of salt tolerance in japonica rice germplasm at the seedling stage

et al. 2015

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Soil salinity is a major constraint to rice production. Understanding the genetic basis of salt tolerance is crucial for the improvement of salt tolerance through breeding. Previous quantitative trait locus (QTL) studies for salt tolerance were mainly derived from bi-parental segregating populations and relatively little is known about the results from natural populations. Understanding the genetic diversity, population structure and linkage disequilibrium (LD) in an association panel can effectively avoid spurious associations in association mapping. In this study, 341 japonica rice (Oryza sativa L. subsp. japonica) accessions worldwide were genotyped with 160 simple sequence repeat (SSR) markers to identify marker-trait associations with salt tolerance at the seedling stage. Salt tolerance was evaluated by survival days of seedlings and shoot K ? / Na ? ratio. A total of 872 alleles ranging from 2 to 9 per locus were identified from all collections. Population structure analysis identified three main subpopulations for the accessions. Of the SSR pairs in these accessions, 40.05 % marker pairs showed significant LD (P \ 0.01). The LD level for linked markers is significantly higher than that for unlinked markers, and LD level was elevated when the panel was classified into subpopulations. The LD decayed to the background at approximately 20-50 cM within the total panel and each subpopulation. A total of ten marker loci associated with salt tolerance were identified using MLM (Q ? K) models in TASSEL 3.0. Among which nine marker loci confirmed or narrowed the genomic region reported to harbor QTLs for salt tolerance by linkage mapping in previous reports, and four salt tolerance-related genes were located in the QTL regions in the present study. According to phenotypic effects for alleles of the detected QTLs, favorable alleles were mined. These favorable alleles could be used to design parental combinations and the expected results would be obtained by pyramiding or substituting the favorable alleles per QTL (apart from possible epistatic effects). Our results demonstrate that association mapping can complement and enhance previous QTL information for marker-assisted selection and breeding by design.

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QTLs mapping of physiological traits related to salt tolerance in young rice seedlings

Cited by 77 publications

References 27 publications

Phenotypic and genotypic screening of rice genotypes at reproductive stage for salt tolerance

Phenotypic and genotypic screening of rice genotypes at reproductive stage for salt tolerance

Estimation and Selection of Parental Forms for Breeding Kazakhstan Salt Tolerant Rice Varieties

Genetic structure, linkage disequilibrium and association mapping of salt tolerance in japonica rice germplasm at the seedling stage

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