Identification of two quantitative trait loci involved in antibody production on mouse chromosome 8

1998 ◽  
Vol 47 (4) ◽  
pp. 326-331 ◽  
Author(s):  
A. Puel ◽  
Jean-Claude Mevel ◽  
Yolande Bouthillier ◽  
Claude Decreusefond ◽  
Wolf H. Fridman ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Mouse Chromosome ◽  
Antibody Production ◽  
Quantitative Trait ◽  
Chromosome 8 ◽  
Trait Loci ◽  
Mouse Chromosome 8

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.

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.

Quantitative trait loci in Chromosomes 3, 8, and 9 regulate antibody production against Salmonella flagellar antigensin the mouse

2004 ◽  
Vol 15 (8) ◽  
pp. 630-636 ◽  
Author(s):  
Carla M. de Souza ◽  
Laurence Morel ◽  
Wafa H.K. Cabrera ◽  
Nancy Starobinas ◽  
Orlando G. Ribeiro ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Antibody Production ◽  
Quantitative Trait ◽  
Trait Loci

Mouse chromosome 9 quantitative trait loci for soft tissue regeneration: Congenic analysis and fine mapping

2007 ◽  
Vol 15 (6) ◽  
pp. 922-927 ◽  
Author(s):  
Hongrun Yu ◽  
David J. Baylink ◽  
Godfred L. Masinde ◽  
Runzhi Li ◽  
Bay Nguyen ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Soft Tissue ◽  
Mouse Chromosome ◽  
Tissue Regeneration ◽  
Fine Mapping ◽  
Quantitative Trait ◽  
Chromosome 9 ◽  
Soft Tissue Regeneration ◽  
Trait Loci

scholarly journals Mapping of quantitative trait loci for seminal vesicle mass and litter size to rat chromosome 8

Reproduction ◽  
1999 ◽  
Vol 116 (2) ◽  
pp. 329-333 ◽  
Author(s):  
V. Zidek ◽  
J. Pintir ◽  
A. Musilova ◽  
V. Bila ◽  
V. Kren ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Seminal Vesicle ◽  
Litter Size ◽  
Quantitative Trait ◽  
Chromosome 8 ◽  
Trait Loci

Involvement of antibody production quantitative trait loci in the susceptibility to pristane-induced arthritis in the mouse

2005 ◽  
Vol 7 (1) ◽  
pp. 44-50 ◽  
Author(s):  
J R Jensen ◽  
L C Peters ◽  
A Borrego ◽  
O G Ribeiro ◽  
W H K Cabrera ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Antibody Production ◽  
Quantitative Trait ◽  
Trait Loci

Interactions in hypoxic and hypercapnic breathing are genetically linked to mouse chromosomes 1 and 5

2004 ◽  
Vol 97 (1) ◽  
pp. 77-84 ◽  
Author(s):  
Clarke G. Tankersley ◽  
Karl W. Broman
Keyword(s):  
Quantitative Trait Loci ◽  
Mouse Chromosome ◽  
Quantitative Trait ◽  
Odds Ratio ◽  
Genetic Model ◽  
Strain Differences ◽  
Interactive Effects ◽  
Chromosome 1 ◽  
Whole Body ◽  
Trait Loci

The genetic basis for differences in the regulation of breathing is certainly multigenic. The present paper builds on a well-established genetic model of differences in breathing using inbred mouse strains. We tested the interactive effects of hypoxia and hypercapnia in two strains of mice known for variation in hypercapnic ventilatory sensitivity (HCVS); i.e., high gain in C57BL/6J (B6) and low gain in C3H/HeJ (C3) mice. Strain differences in the magnitude and pattern of breathing were measured during normoxia [inspired O2 fraction (FiO2) = 0.21] and hypoxia (FiO2 = 0.10) with mild or severe hypercapnia (inspired CO2 fraction = 0.03 or 0.08) using whole body plethysmography. At each level of FiO2, the change in minute ventilation (V̇e) from 3 to 8% CO2 was computed, and the strain differences between B6 and C3 mice in HCVS were maintained. Inheritance patterns showed potentiation effects of hypoxia on HCVS (i.e., CO2 potentiation) unique to the B6C3F1/J offspring of B6 and C3 progenitors; i.e., the change in V̇e from 3 to 8% CO2 was significantly greater ( P < 0.01) with hypoxia relative to normoxia in F1 mice. Linkage analysis using intercross progeny (F2; n = 52) of B6 and C3 progenitors revealed two significant quantitative trait loci associated with variable HCVS phenotypes. After normalization for body weight, variation in V̇e responses during 8% CO2 in hypoxia was linked to mouse chromosome 1 (logarithm of the odds ratio = 4.4) in an interval between 68 and 89 cM (i.e., between D1Mit14 and D1Mit291). The second quantitative trait loci linked differences in CO2 potentiation to mouse chromosome 5 (logarithm of the odds ratio = 3.7) in a region between 7 and 29 cM (i.e., centered at D5Mit66). In conclusion, these results support the hypothesis that a minimum of two significant genes modulate the interactive effects of hypoxia and hypercapnia in this genetic model.

Sign in / Sign up

Export Citation Format

Share Document