QTL-Based Analysis of Heterosis for Grain Shape Traits and Seedling Characteristics in an indica-japonica Hybrid in Rice (Oryza saliva L.)

Abdelkhalik, A. F.; Shishido, Rieko; Nomura, Kazunari; Ikehashi, Hiroshi

doi:10.1270/jsbbs.55.41

Cited by 20 publications

(12 citation statements)

References 19 publications

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“…The genetic basis of heterosis through QTL mapping Up to now, several studies have been conducted to try to understand the genetic basis of heterosis in rice (Xiao et al 1995;Li et al 2001;Luo et al 2001b;Hua et al 2002Hua et al , 2003Abdelkhalik et al 2005). However, the causes underlying this important phenomenon have remained unclear and none of these studies quantified the gene action of QTL.…”

Section: Heterosis Of Yield-related Traitsmentioning

confidence: 99%

Identification of Indica rice chromosome segments for the improvement of Japonica inbreds and hybrids

Wang

Liu

et al. 2012

Theor Appl Genet

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Exploitation of heterosis has brought significant advance in plant breeding and agricultural production, although its genetic basis is still poorly understood. In this study, a total of 66 chromosome segment substitution (CSS) lines, derived from a cross between japonica rice inbred line Asominori (as the recurrent parent) and indica rice inbred line IR24 (as the donor parent), were used to investigate the genetic basis of heterosis in indica × japonica inter-subspecific rice hybrids. Each CSS line was crossed with the background parent Asominori, and the heterosis of F(1) hybrids was estimated by comparing the F(1) performance with its two parental lines. Field experiments were carried out across six different environments to evaluate yield and yield-related traits in the 66 CSS lines and their 66 corresponding F(1) hybrids. Quantitative trait loci (QTL) analyses were conducted using a likelihood ratio test based on the stepwise regression. Thirty-six QTL were identified with significant effects in CSSL, 21 with significant effects in hybrids and 13 with significant effects in both. On the basis of average dominance degree, of all the 70 QTL affecting yield-related agronomic traits, 28.6% (20) showed an overdominance, 35.7% (25) a partial dominance and 30% (21) an additive effect, indicating that all effects contribute to trait variation in japonica-indica rice hybrids. Effects of these QTL were examined to identify Indica rice chromosome segments of interest for the improvement of japonica inbred lines and hybrids.

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Section: Heterosis Of Yield-related Traitsmentioning

confidence: 99%

Identification of Indica rice chromosome segments for the improvement of Japonica inbreds and hybrids

Wang

Liu

et al. 2012

Theor Appl Genet

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“…QTLs for plant height or traits relating to seedling growth were identified using recombinant inbred lines in wheat (Spielmeyer et al, 2007) and DH lines in maize (Presterl et al, 2007). The QTLs for seedling weight and length of rice were detected using F 2 or BC 1 populations of japonica × indica (Abdelkhalik et al, 2005;Redona and Mackill, 1996). In the present study, we identified many QTLs related to the seedling weight of bunching onion.…”

Section: Qtls For Seedling Growthmentioning

confidence: 61%

Mapping of Quantitative Trait Loci Controlling Seedling Growth in Bunching Onion (Allium fistulosum L.)

Ohara¹,

Tsukazaki²,

Song³

et al. 2009

J. Japan. Soc. Hort. Sci.

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Vigorous seedling growth is a desirable trait for machine-assisted transplanting using a plug nursery system in bunching onion. This study was undertaken to identify the quantitative trait loci (QTLs) controlling seedling growth and to elucidate the modes of gene action of the QTLs. Plant material was a set of reciprocally backcrossed populations (BC 1 ). These were produced from 2 inbred lines derived from the Senju group and Kujo group. Two corresponding BC 1 maps were constructed by adding co-dominant simple sequence repeat (SSR) markers to the previously reported amplified fragment length polymorphism (AFLP) based maps. Fresh weights of seedlings were measured in 3 seasons using BC 1 S 1 families. Remarkable heterosis was observed in F 1 and many BC 1 S 1 families. Many QTLs for seedling weight were detected on the 2 maps by composite interval mapping. The phenotypic variation explained by a single QTL was less than 25%. Of these, 3 QTLs on 3 linkage groups are considered to be consistently effective across different environmental conditions because they were detected in different years and seasons. Most QTLs were detected on one map, but were not detected in a corresponding region on the other map; however, the degree of dominance at each locus was calculated to determine whether the locus shows overdominance. Overdominance was observed at some loci, and the other loci showed an additive and dominant effect. It is suggested that remarkable heterosis for seedling weight in the present population is based on the accumulation of dominant and overdominant gene actions.

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“…In the previous study, RM224 had been found associated with plant height, tillers per plant, panicle length and root-shoot ratio (Miyata et al, 2007), with RM60 associated with high-tillering dwarf 1, days to heading and shattering (Septiningsih et al, 2003;Thomson et al, 2003). Tillers per plant also displayed a significant correlation with the allele size of 5 SSR markers (RM5, RM18, RM257, RM224 and RM247) and RM249 was associated with tillers per plant, panicles per plant and grains number per plant (Abdelkhalik et al, 2005;Pradeep et al, 2005;Miyata et al, 2007). Furthermore 94 pairs (r = -0.085 * -0.424 ** ) of 180 pairs between allele sizes and grain traits, such as nine grain traits displayed a significant correlation with the allele size (molecular weight) of RM5 and RM224.…”

Section: Allele Size Of Ssr Markers Associated With Phenotypic Traitsmentioning

confidence: 80%

Correlation between allele sizes of microsatellites and phenotypic variations in rice landraces

Zeng

Zhang

ShuMing

et al. 2009

Front. Agric. China

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Yunnan is one of the largest centers of genetic diversity in the world. Allele size of microsatellites associated with phenotypic traits of rice landraces in Yunnan, Southwest China, was investigated based on 20 SSR markers and 23 phenotypic traits, as well as eight mineral elements in brown rice within the core collection of 629 accessions; and there was a significant correlation for 182 (r = 0.083 * -0.438 ** ) of 620 pairs among these markers and traits, as well as elements. Surprisingly, there was a significant correlation for 94 of 180 pairs between the allele size of microsatellites and grain traits, and 48 of 160 pairs between allele size of microsatellites and panicle traits. In these rice landraces, 309 alleles were detected, with an average of 15.5 alleles per marker, ranging from 5 (RM60) to 40 (RM257). There was a significant correlation between the allele size of 20 SSR markers and some phenotypic traits, such as the significant correlation of 17 (r = -0.085 * -0.438 ** ) pairs between the allele size of RM224 and 23 phenotypic traits, as well as eight elements. The allele size of microsatellites was more associated with grain or panicle traits than that of plant traits or element contents in brown rice. Grain length/width ratio and 1-2 internode length, as indica-japonica classification traits, in which two traits were closely associated with the allele size of 14 SSR markers ranging from 0.089 * to -0.438 ** . Therefore, allele size of SSRs was associated with phenotypic traits (especially in grain traits), as well as elemental contents in brown rice.

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QTL-Based Analysis of Heterosis for Grain Shape Traits and Seedling Characteristics in an indica-japonica Hybrid in Rice (Oryza saliva L.)

Cited by 20 publications

References 19 publications

Identification of Indica rice chromosome segments for the improvement of Japonica inbreds and hybrids

Identification of Indica rice chromosome segments for the improvement of Japonica inbreds and hybrids

Mapping of Quantitative Trait Loci Controlling Seedling Growth in Bunching Onion (Allium fistulosum L.)

Correlation between allele sizes of microsatellites and phenotypic variations in rice landraces

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