Genetic Analysis and QTL Mapping of Large Flag Leaf Angle Trait in Japonica Rice

WenDe, Hu; Zhai, Hong; Jiang, Jianhua; Wang, Yingying; Sun, Dayun; Wang, Xiao-shuai; Liang, Kui; Hong, Delin

doi:10.1016/s1672-6308(12)60052-3

Cited by 10 publications

(6 citation statements)

References 11 publications

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“…Six QTLs were detected in Hainan on chromosomes 1, 2, 2, 7, 9, and 12, while only 3 QTLs were detected in Hangzhou on chromosomes 6, 8, and 12. Based on the comparison of the physical position between the related markers, qFLA-1, qFLA-2a, and qFLA-7 were in the same region as the QTLs detected by Kobayashi et al (2003), and qFLA-8 was in the same region as that detected by Hu et al (2012). The two loci of qFLA-12 detected in the 2 environments were slightly different, but their log 10-likelihood values and additive effect values were similar (Table 3), and thus they may be the same detected at different environments, resulting from an error, such as phenotypic measurement and statistics.…”

Section: Discussionmentioning

confidence: 90%

QTLs for rice flag leaf traits in doubled haploid populations in different environments

et al. 2015

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ABSTRACT. Two rice doubled haploid (DH) populations derived from the crosses of ZYQ8/JX17 and CJ06/TN1 were used to detect quantitative trait loci (QTLs) for flag leaf length (FLL), width (FLW), and angle (FLA) under long-day conditions in Hangzhou (subtropical zone) and short-day conditions in Hainan (tropical zone), China. The four parents differed significantly in all 3 traits. FLL was found to be positively correlated with FLW in the 2 populations. A total of 30 QTLs were identified for flag leaf traits, with a contribution to the phenotypic variation of each QTL from 4.49 to 26.30%. Among these, qFLL-4b, qFLW-12, and qFLA-2a showed larger additive effects on the phenotype and explained more variations compared to the other QTLs. qFLL-1a and qFLL-8 were detected in both environments, while qFLL-2, qFLW11, qFLW2, and qFLA8 were novel QTLs, which may be beneficial to rice ideal-type breeding.

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Section: Discussionmentioning

confidence: 90%

QTLs for rice flag leaf traits in doubled haploid populations in different environments

et al. 2015

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“…The average distance between markers was 10.6 cM. QTLs related to rice plant height regulation were analyzed by applying the composite interval mapping function of WinQTLCart 2.5 software [48] with a threshold value of LOD ≥ 3.0. A 1000-permutation test was performed [49].…”

Section: Qtl Mapping and Meta-analysismentioning

confidence: 99%

Quantitative Trait Loci Mapping Identified Candidate Genes Involved in Plant Height Regulation in Rice

Park,

Jang,

Kim

et al. 2023

IJMS

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Rice plant height is an agricultural trait closely related to biomass, lodging tolerance, and yield. Identifying quantitative trait loci (QTL) regions related to plant height regulation and developing strategies to screen potential candidate genes can improve agricultural traits in rice. In this study, a double haploid population (CNDH), derived by crossing ‘Cheongcheong’ and ‘Nagdong’ individuals, was used, and a genetic map was constructed with 222 single-sequence repeat markers. In the RM3482-RM212 region on chromosome 1, qPh1, qPh1-1, qPh1-3, qPh1-5, and qPh1-6 were identified for five consecutive years. The phenotypic variance explained ranged from 9.3% to 13.1%, and the LOD score ranged between 3.6 and 17.6. OsPHq1, a candidate gene related to plant height regulation, was screened in RM3482-RM212. OsPHq1 is an ortholog of gibberellin 20 oxidase 2, and its haplotype was distinguished by nine SNPs. Plants were divided into two groups based on their height, and tall and short plants were distinguished and clustered according to the expression level of OsPHq1. QTLs and candidate genes related to plant height regulation, and thus, biomass regulation, were screened and identified in this study, but the molecular mechanism of the regulation remains poorly known. The information obtained in this study will help develop molecular markers for marker-assisted selection and breeding through rice plant height control.

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“…Luo et al [24], using the japonica rice Taichung Native 1 and japonica rice Chunjiang 06 and their DH populations, detected five, four and four QTLs on the flag leaf, and on the second and third leaves from the top which were distributed on chromosomes 1, 3, 6, 8, 10 and 11. Hu et al [25], using 863B and A7444 as materials, analyzed the genetic segregation of FLA and identified four QTLs controlling the angle of the flag leaf, located on chromosomes 2, 3 and 8, respectively, two of which were detected on chromosome 3. Cai et al [26] investigated the DH population using the cross combination of indica rice ZYQ8 and japonica rice JX17 as materials, and detected nine QTLs controlling FLA, six of which were detected on chromosomes 1, 2, 2, 7, 9 and 12 in Hainan, and three were detected on chromosomes 6, 8 and 12 in Hangzhou.…”

Section: Introductionmentioning

confidence: 99%

Identification of QTLs Conferring Rice Leaf Inclination Angle and Analysis of Candidate Genes

Luo,

Zhong,

et al. 2023

Agronomy

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The leaf inclination angle is an important agronomic rice trait and an indicator of ideal plant architecture, yield and revenue. Based on 120 recombinant inbred lines (RILs) obtained from crossing of the F1 generation of the indica rice cultivar Huazhan as the male parent and the japonica rice cultivar Nekken2 as the female parent, followed by inbreeding for 12 generations, the leaf inclination angle of the first, second and third leaves from the top of the plants were analyzed. At the same time, quantitative trait locus (QTL) mapping of the leaf inclination angle was performed using encrypted genetic maps constructed for this population. A total of 33 QTLs were detected, including two related to the first leaf inclination angle (FLIA), nine related to the second leaf inclination angle (SLIA) (highest Lod value of 5.94), and 22 related to the third leaf inclination angle (TLIA) (highest Lod value of 8.53). At the same time, candidate genes analysis were conducted on the detected QTLs’ intervals, and a total of 15 candidate genes were screened. The expression levels of candidate genes were detected by RT-qPCR, we found that LOC_Os03g46920, LOC_Os03g52630, LOC_Os04g24328, LOC_Os08g25380, LOC_Os09g23200, LOC_Os09g32080, LOC_Os09g35940, LOC_Os09g37330 and LOC_Os09g37495 displayed extremely significant differences in expression between the parents. The results showed that these genes may be the cause of the difference in leaf inclination. The present study provided substantial foundation for the further validation of the function of leaf inclination angle genes and molecular breeding practices.

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Genetic Analysis and QTL Mapping of Large Flag Leaf Angle Trait in Japonica Rice

Cited by 10 publications

References 11 publications

QTLs for rice flag leaf traits in doubled haploid populations in different environments

QTLs for rice flag leaf traits in doubled haploid populations in different environments

Quantitative Trait Loci Mapping Identified Candidate Genes Involved in Plant Height Regulation in Rice

Identification of QTLs Conferring Rice Leaf Inclination Angle and Analysis of Candidate Genes

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