scholarly journals Genetic dissection of carotenoids in maize kernels using high-density single nucleotide polymorphism markers in a recombinant inbred line population

2017 ◽  
Vol 5 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Orawan Jittham ◽  
Xiuyi Fu ◽  
Jing Xu ◽  
Subhash Chander ◽  
Jiansheng Li ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Recombinant Inbred Line Population ◽  
Recombinant Inbred ◽  
High Density ◽  
Genetic Dissection ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Maize Kernels

Genetic dissection of seedling and early vigor in a recombinant inbred line population of rice

Plant Science ◽  
2007 ◽  
Vol 172 (2) ◽  
pp. 212-220 ◽  
Author(s):  
Xun-Li Lu ◽  
Ao-Lei Niu ◽  
Hai-Ya Cai ◽  
Yong Zhao ◽  
Jun-Wei Liu ◽  
...  
Keyword(s):  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Recombinant Inbred Line Population ◽  
Recombinant Inbred ◽  
Genetic Dissection ◽  
Early Vigor

scholarly journals Detection of QTLs for panicle-related traits using an indica × japonica recombinant inbred line population in rice

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12504
Author(s):  
Guan Li ◽  
Yichen Cheng ◽  
Man Yin ◽  
Jinyu Yang ◽  
Jiezheng Ying ◽  
...  
Keyword(s):  
Grain Yield ◽  
Linkage Map ◽  
Genetic Map ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Recombinant Inbred Line Population ◽  
Recombinant Inbred ◽  
High Density ◽  
Rice Grain ◽  
High Density Linkage Map

Background The panicle is the most important organ in rice, and all the panicle-related traits are correlated with rice grain yield. Understanding the underlying genetic mechanisms controlling panicle development is very important for improving rice production. Methods Nine panicle-related traits including heading date, panicle length, number of primary branches, number of secondary branches, number of grains per panicle, number of panicles per plant, number of filled grains per plant, seed-setting rate, and grain yield per plant were investigated. To map the quantitative trait loci (QTLs) for the nine panicle-related traits, a PCR-based genetic map with 208 markers (including 121 simple sequence repeats and 87 InDels) and a high-density linkage map with 18,194 single nucleotide polymorphism (SNP) markers were both used. Results Using a recombinant inbred line population derived from an indica variety Huanghuazhan and a japonica line Jizi 1560, a total of 110 and 112 QTLs were detected for panicle-related traits by PCR-based genetic map and by high-density linkage map, respectively. Most of the QTLs were clustered on chromosomes 1, 2, 3, 6, and 7 while no QTLs were detected on chromosome 10. Almost all the QTLs with LOD values of more than 5.0 were repeatedly detected, indicating the accuracy of the two methods and the stability of the QTL effects. No genes for panicle-related traits have been previously reported in most of these regions. QTLs found in JD1006–JD1007 and RM1148–RM5556 with high LOD and additive values deserved further research. The results of this study are beneficial for marker-assisted breeding and provide research foundation for further fine-mapping and cloning of these QTLs for panicle-related traits.

scholarly journals Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hui Fang ◽  
Xiuyi Fu ◽  
Hanqiu Ge ◽  
Aixia Zhang ◽  
Tingyu Shan ◽  
...  
Keyword(s):  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Phenotypic Variation ◽  
Recombinant Inbred ◽  
Genetic Basis ◽  
High Density ◽  
Maize Kernel ◽  
Kernel Oil ◽  
Ril Population ◽  
Maize Kernels

Abstract Background Maize (Zea mays ssp. mays) is the most abundantly cultivated and highly valued food commodity in the world. Oil from maize kernels is highly nutritious and important for the diet and health of humans, and it can be used as a source of bioenergy. A better understanding of genetic basis for maize kernel oil can help improve the oil content and quality when applied in breeding. Results In this study, a KUI3/SC55 recombinant inbred line (RIL) population, consisting of 180 individuals was constructed from a cross between inbred lines KUI3 and SC55. We phenotyped 19 oil-related traits and subsequently dissected the genetic architecture of oil-related traits in maize kernels based on a high-density genetic map. In total, 62 quantitative trait loci (QTLs), with 2 to 5 QTLs per trait, were detected in the KUI3/SC55 RIL population. Each QTL accounted for 6.7% (qSTOL1) to 31.02% (qBELI6) of phenotypic variation and the total phenotypic variation explained (PVE) of all detected QTLs for each trait ranged from 12.5% (OIL) to 52.5% (C16:0/C16:1). Of all these identified QTLs, only 5 were major QTLs located in three genomic regions on chromosome 6 and 9. In addition, two pairs of epistatic QTLs with additive effects were detected and they explained 3.3 and 2.4% of the phenotypic variation, respectively. Colocalization with a previous GWAS on oil-related traits, identified 19 genes. Of these genes, two important candidate genes, GRMZM2G101515 and GRMZM2G022558, were further verified to be associated with C20:0/C22:0 and C18:0/C20:0, respectively, according to a gene-based association analysis. The first gene encodes a kinase-related protein with unknown function, while the second gene encodes fatty acid elongase 2 (fae2) and directly participates in the biosynthesis of very long chain fatty acids in Arabidopsis. Conclusions Our results provide insights on the genetic basis of oil-related traits and a theoretical basis for improving maize quality by marker-assisted selection.

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