scholarly journals Substitution Mapping of the Major Quantitative Trait Loci Controlling Stigma Exsertion Rate from Oryza glumaepatula

Rice ◽  
2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Quanya Tan ◽  
Tuo Zou ◽  
Mingmin Zheng ◽  
Yuerong Ni ◽  
Xin Luan ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Substitution Mapping ◽  
Trait Loci ◽  
Stigma Exsertion ◽  
Oryza Glumaepatula ◽  
Stigma Exsertion Rate

scholarly journals Substitution mapping of the major quantitative trait loci controlling stigma exsertion rate from Oryza glumaepatula

2020 ◽  
Author(s):  
Quanya Tan ◽  
Tuo Zou ◽  
Mingmin Zheng ◽  
Yuerong Ni ◽  
Xin Luan ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Chromosome 1 ◽  
Rice Seed ◽  
Cultivated Rice ◽  
Rice Varieties ◽  
Substitution Mapping ◽  
Trait Loci ◽  
Stigma Exsertion ◽  
Stigma Exsertion Rate

Abstract Background: Stigma exsertion rate (SER) is a key determinant for outcrossing ability of male sterility lines (MSLs) in hybrid rice seed production. Outcrossing ability in cultivated rice varieties has diminished during the process of domestication, while wild Oryza species keep strong outcrossing ability. Here, we detected the quantitative trait loci (QTLs) controlling SER using a set of single-segment substitution lines (SSSLs) derived from O. glumaepatula, a wild Oryza species.Results: Seven QTLs for SER, qSER-1a, qSER-1b, qSER-3a, qSER-3b, qSER-5, qSER-9 and qSER-10, were located on 5 chromosomes. qSER-1a and qSER-1b were located on chromosome 1. qSER-3a and qSER-3b were mapped on chromosome 3, and qSER-3b was further located at an interval of 931.0kb by secondary substitution mapping. qSER-5, qSER-9 and qSER-10 were identified on chromosomes 5, 9 and 10, respectively, and qSER-9 was delimited to a region of 608.2kb by secondary substitution mapping. The additive effects of the 7 QTLs ranged from 10.6% to 14.8%, and the additive contribution variances explained by each of the QTLs were from 36.3% to 50.6%, which were higher than those of most loci for SER reported previously.Conclusions: qSER-1a and qSER-1b were novel loci for SER on chromosome 1. All of the 7 QTLs had major effects on SER. The major QTLs of SER will help to develop MSLs with strong outcrossing ability.

scholarly journals Substitution mapping of the major quantitative trait loci controlling stigma exsertion rate from Oryza glumaepatula

2020 ◽  
Author(s):  
Quanya Tan ◽  
Tuo Zou ◽  
Mingmin Zheng ◽  
Yuerong Ni ◽  
Xin Luan ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Chromosome 1 ◽  
Oryza Species ◽  
Rice Seed ◽  
Substitution Mapping ◽  
Trait Loci ◽  
Stigma Exsertion ◽  
Stigma Exsertion Rate ◽  
Wild Oryza Species

Abstract Background: Stigma exsertion rate (SER) is a key determinant for the outcrossing ability of male sterility lines (MSLs) in hybrid rice seed production. In the process of domestication, the outcrossing ability of cultivated rice varieties decreased, while that of wild Oryza species kept strong. Here, we detected the quantitative trait loci (QTLs) controlling SER using a set of single-segment substitution lines (SSSLs) derived from O. glumaepatula , a wild Oryza species. Results: Seven QTLs for SER were located on 5 chromosomes. qSER-1a and qSER-1b were located on chromosome 1. qSER-3a and qSER-3b were mapped on chromosome 3, and qSER-3b was further located at an estimated interval of 898.8kb by secondary substitution mapping. qSER-5 , qSER-9 and qSER-10 were identified on chromosomes 5, 9 and 10, respectively, and qSER-9 was delimited to an estimated region of 551.9kb by secondary substitution mapping. The additive effects of the 7 QTLs ranged from 10.6% to 14.8%, which were higher than those of most loci for SER reported previously. Conclusions: qSER-1a and qSER-1b are novel loci for SER on chromosome 1. All of the 7 QTLs have major effects on SER. The major QTLs of SER will help to develop MSLs with strong outcrossing ability.

Genetic mapping and validation of quantitative trait loci for stigma exsertion rate in rice

2014 ◽  
Vol 34 (4) ◽  
pp. 2131-2138 ◽  
Author(s):  
Pingbo Li ◽  
Fuchun Feng ◽  
Qinglu Zhang ◽  
Yuan Chao ◽  
Guanjun Gao ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Genetic Mapping ◽  
Quantitative Trait ◽  
Trait Loci ◽  
Stigma Exsertion ◽  
Stigma Exsertion Rate

scholarly journals Genetic mapping of quantitative trait loci for the stigma exsertion rate in rice (Oryza sativa L.)

2017 ◽  
Vol 16 (7) ◽  
pp. 1423-1431 ◽  
Author(s):  
Md Habibur Rahman ◽  
Ying-xin ZHANG ◽  
Lian-ping SUN ◽  
Ke-qin ZHANG ◽  
Md Sazzadur Rahman ◽  
...  
Keyword(s):  
Oryza Sativa ◽  
Quantitative Trait Loci ◽  
Genetic Mapping ◽  
Quantitative Trait ◽  
Oryza Sativa L ◽  
Trait Loci ◽  
Stigma Exsertion ◽  
Stigma Exsertion Rate

scholarly journals Fine mapping of quantitative trait loci using selected overlapping recombinant chromosomes, in an interspecies cross of tomato.

Genetics ◽  
1990 ◽  
Vol 124 (3) ◽  
pp. 735-742 ◽  
Author(s):  
A H Paterson ◽  
J W DeVerna ◽  
B Lanini ◽  
S D Tanksley
Keyword(s):  
Quantitative Trait Loci ◽  
Genetic Markers ◽  
Quantitative Trait ◽  
Soluble Solids ◽  
Domestic Species ◽  
Substitution Mapping ◽  
Solids Concentration ◽  
Small Fruit ◽  
Trait Loci ◽  
Soluble Solids Concentration

Abstract Quantitative trait loci (QTLs) have been mapped to small intervals along the chromosomes of tomato (Lycopersicon esculentum), by a method we call substitution mapping. The size of the interval to which a QTL can be mapped is determined primarily by the number and spacing of previously mapped genetic markers in the region surrounding the QTL. We demonstrate the method using tomato genotypes carrying chromosomal segments from Lycopersicon chmielewskii, a wild relative of tomato with high soluble solids concentration but small fruit and low yield. Different L. chmielewskii chromosomal segments carrying a common restriction fragment length polymorphism were identified, and their regions of overlap determined using all available genetic markers. The effect of these chromosomal segments on soluble solids concentration, fruit mass, yield, and pH, was determined in the field. Many overlapping chromosomal segments had very different phenotypic effects, indicating QTLs affecting the phenotype(s) to lie in intervals of as little as 3 cM by which the segments differed. Some associations between different traits were attributed to close linkage between two or more QTLs, rather than pleiotropic effects of a single QTL: in such cases, recombination should separate desirable QTLs from genes with undesirable effects. The prominence of such trait associations in wide crosses appears partly due to infrequent reciprocal recombination between heterozygous chromosomal segments flanked by homozygous regions. Substitution mapping is particularly applicable to gene introgression from wild to domestic species, and generally useful in narrowing the gap between linkage mapping and physical mapping of QTLs.

scholarly journals Mapping of Quantitative Trait Loci for Exserted Stigma Rate By Using (ZS97B/MH63) Ril Population

2021 ◽  
Vol 50 (3) ◽  
pp. 551-556
Author(s):  
Jiping Tong ◽  
Zhengshu Han ◽  
Aonan Han
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Seed Set ◽  
Hybrid Rice ◽  
Indica Rice ◽  
Phenotypic Variance ◽  
Total Phenotypic Variance ◽  
Ril Population ◽  
Trait Loci ◽  
Stigma Exsertion

For increasing pollination and seed set, stigma exsertion has been identified as a major component in hybrid rice. By using a recombinant inbred line (RIL) population derived from an important Indica rice cross between Zhenshan97 and Minghui63, a molecular marker-based analysis of quantitative trait loci (QTL) for stigma exsertion was performed. As a result, six prominent QTL were detected for the exserted stigma rate on chromosome 6, 2, 9, 3, 5 and 1, respectively. qSER-1-1, qSER-2-1, qSER-5-1, qSER-6-1, qSER-15-1, and qSER-18-1 explained 8.1515, 4.6657, 7.2387, 4.8997, 6.925 and 6.9291% of the total phenotypic variance, respectively. In addition, for the qSER-1-1 and qSER-2-1, the ZS97B allele increased exserted stigma rate by about 4.3484 and 3.2836%, respectively; while for qSER-5-1, qSER-6-1, qSER-15-1 and qSER-18-1, the MH63 allele increased exserted stigma rate by approx. 4.1527, 3.4243, 3.9801 and 4.0025%, respectively. Bangladesh J. Bot. 50(3): 551-556, 2021 (September)

scholarly journals Substitution Mapping in Dahl Rats Identifies Two Distinct Blood Pressure Quantitative Trait Loci Within 1.12- and 1.25-Mb Intervals on Chromosome 3

Genetics ◽  
2006 ◽  
Vol 174 (4) ◽  
pp. 2203-2213 ◽  
Author(s):  
Soon Jin Lee ◽  
Jun Liu ◽  
Allison M. Westcott ◽  
Joshua A. Vieth ◽  
Sarah J. DeRaedt ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Chromosome 3 ◽  
Substitution Mapping ◽  
Trait Loci

Dissection of Additive, Epistatic Effect and Q × E Interaction of Quantitative Trait Loci Influencing Stigma Exsertion Under Water Stress in Rice

2006 ◽  
Vol 33 (6) ◽  
pp. 542-550 ◽  
Author(s):  
Xin-Qiao YU ◽  
Han-Wei MEI ◽  
Li-Jun LUO ◽  
Guo-Lan LIU ◽  
Hong-Yan LIU ◽  
...  
Keyword(s):  
Water Stress ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Epistatic Effect ◽  
Trait Loci ◽  
Stigma Exsertion

Identification of cis-regulated genes in quantitative trait loci driving liver fibrosis

2012 ◽  
Vol 50 (08) ◽  
Author(s):  
R Hall ◽  
R Müllenbach ◽  
S Huss ◽  
R Alberts ◽  
K Schughart ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Liver Fibrosis ◽  
Quantitative Trait ◽  
Trait Loci
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