scholarly journals Chlorophyll Retention and High Photosynthetic Performance Contribute to Salinity Tolerance in Rice Carrying Drought Tolerance Quantitative Trait Loci (QTLs)

Agriculture ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 620
Author(s):  
Noppawan Nounjan ◽  
Wuttipong Mahakham ◽  
Jonaliza L. Siangliw ◽  
Theerayut Toojinda ◽  
Piyada Theerakulpisut
Keyword(s):  
Salt Stress ◽  
Quantitative Trait Loci ◽  
Salt Tolerance ◽  
Drought Tolerance ◽  
Quantitative Trait ◽  
Photosynthetic Performance ◽  
Chromosome 8 ◽  
Recurrent Parent ◽  
Putative Gene ◽  
Trait Loci

Jasmine rice (Oryza sativa L.), or Khao Dawk Mali 105 (KDML105), is sensitive to drought and salt stresses. In this study, two improved drought-tolerant chromosome segment substitution lines (CSSLs) of KDML105 (CSSL8-103 and CSSL8-106), which carry drought tolerance quantitative trait loci (QTLs) on chromosome 8, were evaluated for salt tolerance and were compared with KDML105 and the QTL donor DH103, their parents and the salt-tolerant genotype Pokkali. After being subjected to salt stress for 6 days, 3-week-old seedlings of Pokkali showed the highest salt tolerance. Parameters related to photosynthesis were less inhibited in both CSSLs and the donor DH103, while these parameters were more severely damaged in the recurrent parent KDML105. Albeit a high ratio of Na+/K+, CSSLs and DH103 showed similar or higher contents of soluble sugar and activity of superoxide dismutase (SOD; EC1.15.1.1) compared with Pokkali, indicating possible mechanisms of either tissue or osmotic tolerance in these plants. The expression of a putative gene Os08g41990 (aminotransferase), which is located in DT-QTL and is involved in chlorophyll biosynthesis, significantly decreased under salt stress in KDML105 and CSSL8-103, while no obvious change in the expression of this gene was observed in Pokkali, DH103 and CSSL8-106. This gene might play a role in maintaining chlorophyll content under stress conditions. Taken together, the results of this study indicate that DT-QTL could contribute to the enhancement of photosynthetic performance in CSSL lines, leading to changes in their physiological ability to tolerate salinity stress.

Comparison of salt tolerance during seed germination and vegetative growth in tomato by QTL mapping

Genome ◽  
1999 ◽  
Vol 42 (4) ◽  
pp. 727-734 ◽  
Author(s):  
M R Foolad
Keyword(s):  
Quantitative Trait Loci ◽  
Salt Tolerance ◽  
Seed Germination ◽  
Lycopersicon Esculentum ◽  
Quantitative Trait ◽  
Vegetative Growth ◽  
Developmental Stages ◽  
Phenotypic Correlation ◽  
Recurrent Parent ◽  
Trait Loci

The purpose of this study was to determine the genetic relationship between salt tolerance during seed germination and vegetative growth in tomato by comparing quantitative trait loci (QTLs) which confer salt tolerance at these two developmental stages. A salt-sensitive Lycopersicon esculentum line (NC84173; maternal and recurrent parent) was hybridized with a salt-tolerant accession (LA722) of Lycopersicon pimpinellifolium, and BC1 and BC1S1 populations were developed. The BC1 population was used for RFLP mapping and the BC1S1 population for evaluation of salt tolerance during germination and vegetative growth. The results indicated the presence of a small but significant correlation (r = -0.22, p < 0.05) between rate of seed germination and the percentage of plant survival under salt stress. Seven and five QTLs were identified for salt tolerance during seed germination and vegetative growth, respectively. While in most cases the location of QTLs for germination was different from that for vegetative growth, there were some coincidences in QTL locations; this was consistent with the small phenotypic correlation observed between the two traits. The overall results indicated that, in these tomato genetic materials, salt tolerance during seed germination was independent of that during vegetative growth. However, simultaneous improvement of tolerance at the two developmental stages should be possible through marker-assisted selection and breeding.Key words: Lycopersicon esculentum, L. pimpinellifolium, salt tolerance, seed germination vegetative growth, restriction fragment length polymorphism (RFLP), quantitative trait loci (QTLs).

Identification of quantitative trait loci associated with salt tolerance during seedling growth in soybean (Glycine max L.)

2008 ◽  
Vol 59 (12) ◽  
pp. 1086 ◽  
Author(s):  
Huatao Chen ◽  
Shiyou Cui ◽  
Sanxiong Fu ◽  
Junyi Gai ◽  
Deyue Yu
Keyword(s):  
Salt Stress ◽  
Quantitative Trait Loci ◽  
Salt Tolerance ◽  
Seedling Growth ◽  
Quantitative Trait ◽  
Phenotypic Variance ◽  
Linkage Groups ◽  
Plant Survival ◽  
Greenhouse Experiments ◽  
Trait Loci

Salt stress is an important factor affecting the growth and development of soybean. The inheritance and expression of traits associated with salt tolerance during the seedling stage are complex. The present study was conducted to identify quantitative trait loci (QTLs) associated with salt tolerance during seedling growth in soybean. Field and greenhouse experiments were conducted to evaluate 184 recombinant inbred lines (RILs) derived from a cross between Kefeng No. 1 and Nannong1138-2 for salt tolerance and QTLs that are associated with salt tolerance. The molecular map of this RIL population, covering 2625.9 cM of the genome, converged into 24 linkage groups and consisted of 221 SSR markers and 1 disease-resistant gene (Rsc-7). QTL mapping was conducted using WinQTLCart. Eight putative QTLs significantly associated with salt tolerance were identified. One QTL was identified both in field and greenhouse experiments. In the field, salt tolerance was assessed (tolerance rating, TR) visually on a 0 (death) to 5 (unaffected by salt stress) scale. Three QTLs were detected on two linkage groups explaining 7.1–19.7% of the total phenotypic variance for salt tolerance. In the greenhouse, plant survival days (PSD) and percentage of plant survival (PPS) under salt stress were measured. Six QTLs were detected on six linkage groups, and explained 7.8–19.2% of total phenotypic variation for salt tolerance. A major QTL was identified between markers Sat_164 and Sat_358 on linkage group G in both the field and greenhouse. This QTL qppsN.1 was identified in the same location as a salt tolerance QTL previously reported in soybean. The detection of new QTLs will provide important information for marker-assisted selection (MAS) and further genetic studies on salt tolerance in soybean.

scholarly journals Quantitative Trait Loci (QTLs) Associated with Drought Tolerance in Vietnamese Local Rice (Oryza sativa L.)

10.5109/26153 ◽  
2013 ◽  
Vol 58 (1) ◽  
pp. 1-6
Author(s):  
Nguyet M. T. Nguyen ◽  
Long H. Hoang ◽  
Naruto Furuya ◽  
Kenichi Tsuchiya ◽  
Thuy T. T. Nguyen
Keyword(s):  
Oryza Sativa ◽  
Quantitative Trait Loci ◽  
Drought Tolerance ◽  
Quantitative Trait ◽  
Oryza Sativa L ◽  
Trait Loci

Isolation of genes/quantitative trait loci for drought stress tolerance in maize.

2021 ◽  
pp. 267-281
Author(s):  
Pardeep Kumar ◽  
Mukesh Choudhary ◽  
B. S. Jat ◽  
M. C. Dagla ◽  
Vishal Singh ◽  
...  
Keyword(s):  
Drought Stress ◽  
Quantitative Trait Loci ◽  
Drought Tolerance ◽  
Stress Tolerance ◽  
Quantitative Trait ◽  
Wild Relatives ◽  
Drought Stress Tolerance ◽  
Expression Studies ◽  
Trait Loci ◽  
Breeding Programmes

Abstract This chapter focuses on target traits for drought stress, progress in mapping for drought tolerance-associated genes/QTLs identification and expression studies and introgression strategies followed by the possibilities of integrating the concept of speed breeding in maize drought breeding programmes for better utilization of wild relatives.

scholarly journals Meta-Analysis of Quantitative Trait Loci Associated with Seedling-Stage Salt Tolerance in Rice (Oryza sativa L.)

Plants ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 33 ◽  
Author(s):  
Md. Islam ◽  
John Ontoy ◽  
Prasanta Subudhi
Keyword(s):  
Quantitative Trait Loci ◽  
Salt Tolerance ◽  
Candidate Genes ◽  
Quantitative Trait ◽  
Oryza Sativa L ◽  
Meta Analysis ◽  
Seedling Stage ◽  
Phenotypic Variance ◽  
A Genome ◽  
Trait Loci

Soil and water salinity is one of the major abiotic stresses that reduce growth and productivity in major food crops including rice. The lack of congruence of salt tolerance quantitative trait loci (QTLs) in multiple genetic backgrounds and multiple environments is a major hindrance for undertaking marker-assisted selection (MAS). A genome-wide meta-analysis of QTLs controlling seedling-stage salt tolerance was conducted in rice using QTL information from 12 studies. Using a consensus map, 11 meta-QTLs for three traits with smaller confidence intervals were localized on chromosomes 1 and 2. The phenotypic variance of 3 meta-QTLs was ≥20%. Based on phenotyping of 56 diverse genotypes and breeding lines, six salt-tolerant genotypes (Bharathy, I Kung Ban 4-2 Mutant, Langmanbi, Fatehpur 3, CT-329, and IARI 5823) were identified. The perusal of the meta-QTL regions revealed several candidate genes associated with salt-tolerance attributes. The lack of association between meta-QTL linked markers and the level of salt tolerance could be due to the low resolution of meta-QTL regions and the genetic complexity of salt tolerance. The meta-QTLs identified in this study will be useful not only for MAS and pyramiding, but will also accelerate the fine mapping and cloning of candidate genes associated with salt-tolerance mechanisms in rice.

scholarly journals Mapping Quantitative Trait Loci for Resistance to Rice Blast

2011 ◽  
Vol 101 (2) ◽  
pp. 176-181 ◽  
Author(s):  
Y. Jia ◽  
G. Liu
Keyword(s):  
Quantitative Trait Loci ◽  
Phenotypic Variation ◽  
Quantitative Trait ◽  
Composite Interval Mapping ◽  
Rice Blast ◽  
Ssr Marker ◽  
Interval Mapping ◽  
Chromosome 8 ◽  
Chromosome 12 ◽  
Trait Loci

Quantitative trait loci (QTLs) conferring resistance to rice blast, caused by Magnaporthe oryzae, have been under-explored. In the present study, composite interval mapping was used to identify the QTLs that condition resistance to the 6 out of the 12 common races (IB1, IB45, IB49, IB54, IC17, and ID1) of M. oryzae using a recombinant inbred line (RIL) population derived from a cross of the moderately susceptible japonica cultivar Lemont with the moderately resistant indica cultivar Jasmine 85. Disease reactions of 227 F7 RILs were determined using a category scale of ratings from 0, representing the most resistant, to 5, representing the most susceptible. A total of nine QTLs responsive to different degrees of phenotypic variation ranging from 5.17 to 26.53% were mapped on chromosomes 3, 8, 9, 11, and 12: qBLAST3 at 1.9 centimorgans (cM) to simple sequence repeat (SSR) marker RM282 on chromosome 3 to IB45 accounting for 5.17%; qBLAST8.1 co-segregated with SSR marker RM1148 to IB49 accounting for 6.69%, qBLAST8.2 at 0.1 cM to SSR marker RM72 to IC17 on chromosome 8 accounting for 7.22%; qBLAST9.1 at 0.1 cM to SSR marker RM257 to IB54, qBLAST9.2 at 2.1 cM to SSR marker RM108, and qBLAST9.3 at 0.1 cM to SSR marker RM215 to IC17 on chromosome 9 accounting for 4.64, 7.62, and 4.49%; qBLAST11 at 2.2 cM to SSR marker RM244 to IB45 and IB54 on chromosome 11 accounting for 26.53 and 19.60%; qBLAST12.1 at 0.3 cM to SSR marker OSM89 to IB1 on chromosome 12 accounting for 5.44%; and qBLAST12.2 at 0.3 and 0.1 cM to SSR marker OSM89 to IB49 and ID1 on chromosome 12 accounting for 9.7 and 10.18% of phenotypic variation, respectively. This study demonstrates the usefulness of tagging blast QTLs using physiological races by composite interval mapping.

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