QTL mapping for developmental behavior of plant height in wheat (Triticum aestivum L.)

Wang, Zhenghang; Wu, Xianshan; Ren, Qian; Chang, Xiaoping; Li, Runzhi; Jing, Ruilian

doi:10.1007/s10681-010-0166-3

Cited by 71 publications

(44 citation statements)

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“…Similar results have been reported by Wang [25]. We also found that the QTLs detected by both conditional and unconditional analysis in both years showed slight differences, such as QHt-3B, which was More importantly, these unstable QTLs might be more sensitive to the environment than QTLs detected at the same stages in the two years.…”

Section: Discussionsupporting

confidence: 90%

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Molecular dissection of plant height QTLs using recombinant inbred lines from hybrids between common wheat (Triticum aestivum L.) and spelt wheat (Triticum spelta L.)

Liu

et al. 2011

Chin. Sci. Bull.

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In wheat, plant height is an important agronomic trait, and a number of quantitative trait loci (QTLs) controlling plant height have been located. In this study, using the conditional and unconditional QTL mapping methods, combined with data from five different growth stages over two years of field trials, the developmental behavior for plant height in wheat was dissected. Nine unconditional QTLs and 8 conditional QTLs were identified, of which 6 were detected by both methods. None of the 11 QTLs was detected at all of the 5 investigated developmental stages, but 7 QTLs were detected at certain stages in both years. Further analysis identified 9 unconditional QTLs at different stages, which could explain the phenotypic variation from 4.81% to 17.35%. It was noteworthy that one major QTL designated QHt-4B-2, which was located on chromosome 4B, was detected on May 18 and 25 in both years, and its genetic contributions to plant height ranged from 13.42% to 16.13%. Moreover, of the 8 conditional QTLs identified, six were detected in both years, in the order of QHt-3B→QHt-4B-1→QHt-4B-2→QHt-4D→QHt-5A and QHt-2B expressed at the same developmental stage. The results indicate that QTL expression during plant height development is selective and in a temporal order. As one of the most important agronomic traits in wheat breeding, plant height plays a vital role in producing plants with high lodging resistance and high harvest index. For example, the dwarfism gene from Nonglin-10, which was widely used in classical wheat breeding programs, contributed significantly to the green revolution in the 1960s [1]. Until now, dwarfism breeding has been important in increasing the yield of wheat all over the world. Genetic analysis of plant height has been carried out by many researchers, and more than 20 dwarfism genes have been identified in wheat [2]. Some of these genes have been *Corresponding authors (email: penghuiru@cau.edu.cn; qxsun@cau.edu.cn) exploited to breed many semidwarf cultivars with high yield potential. Recently, along with the advent of molecular quantitative genetics, about 50 quantitative trait loci (QTLs) for wheat plant height have been identified using the constructed molecular genetic linkage maps [3][4][5][6][7][8][9][10][11][12][13][14][15]. However, QTL mapping of plant height in wheat was only focused on the performance of this trait at the maturing stage.Conventional statistical genetic analysis revealed that gene expression patterns were distinct at different developmental stages, and the genetic model for the final character did not fully reflect the true gene expression pattern during formation of the character [16][17][18][19][20][21][22]. Therefore it is necessary to conduct dynamic mapping of plant height at a variety of

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Section: Discussionsupporting

confidence: 90%

“…These studies indicated that the actions and interactions of genes responsible for plant height varied in different growth periods and environmental conditions. Recently, QTL mapping for developmental behavior of plant height in wheat was conducted under well-watered and drought conditions [25].…”

mentioning

confidence: 99%

Molecular dissection of plant height QTLs using recombinant inbred lines from hybrids between common wheat (Triticum aestivum L.) and spelt wheat (Triticum spelta L.)

Liu

et al. 2011

Chin. Sci. Bull.

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“…The conditional mapping method has been used to map QTL for plant height in maize (Yan et al 2003), brown plant hopper resistance in rice (Ren et al 2004), pod number and the main stem and plant height of soybean (Sun et al 2006), seed weight of soybean (Teng et al 2009), plant height of wheat (Cui et al 2011;Wang et al 2010) and linolenic acid content of soybean seed (Han et al 2011). But, so far, there is no report on the use of conditional QTL mapping to reveal the dynamics of plant disease resistance.…”

Section: Introductionmentioning

confidence: 99%

Conditional QTL underlying resistance to late blight in a diploid potato population

Lindqvist‐Kreuze²,

Tian

et al. 2012

Theor Appl Genet

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A large number of quantitative trait loci (QTL) for resistance to late blight of potato have been reported with a "conventional" method in which each phenotypic trait reflects the cumulative genetic effects for the duration of the disease process. However, as genes controlling response to disease may have unique contributions with specific temporal features, it is important to consider the phenotype as dynamic. Here, using the net genetic effects evidenced at consecutive time points during disease development, we report the first conditional mapping of QTL underlying late blight resistance in potato under five environments in Peru. Six conditional QTL were mapped, one each on chromosome 2, 7 and 12 and three on chromosome 9. These QTL represent distinct contributions to the phenotypic variation at different stages of disease development. By comparison, when conventional mapping was conducted, only one QTL was detected on chromosome 9. This QTL was the same as one of the conditional QTL. The results imply that conditional QTL reflect genes that function at particular stages during the host-pathogen interaction. The dynamics revealed by conditional QTL mapping could contribute to the understanding of the molecular mechanism of late blight resistance and these QTL could be used to target genes for marker development or manipulation to improve resistance.

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“…Genetic assessments of plant height in wheat were carried out in many studies (Cadalen et al 1998;Korzun et al 1998;Peng et al 2003;Schnurbusch et al 2003;McCartney et al 2005;Pestsova et al 2006;Quarrie et al 2006;Wang et al 2010;Wu et al 2010), but most of the data were collected only at or near maturity. The combination of developmental quantitative genetics with molecular markers make it possible to analyze the developmental behavior of important agronomic traits (Price and Tomos 1997;Yan et al 1998aYan et al , 1998bYan et al , 2003Levesque et al 2006;Wang et al 2010;Wu et al 2010).…”

Section: Introductionmentioning

confidence: 99%

“…The combination of developmental quantitative genetics with molecular markers make it possible to analyze the developmental behavior of important agronomic traits (Price and Tomos 1997;Yan et al 1998aYan et al , 1998bYan et al , 2003Levesque et al 2006;Wang et al 2010;Wu et al 2010). For most analyses, the extra genetic effect from time (t -1) to time t was the D-value (different value) of genetic effects at time t and time (t -1), i.e., unconditional analysis.…”

Section: Introductionmentioning

confidence: 99%

Association mapping of dynamic developmental plant height in common wheat

Zhang

Hao

Ren

et al. 2011

Planta

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Drought as a major abiotic stress often occurs from stem elongation to the grain filling stage of wheat in northern China. Plant height (PH) is a suitable trait to model the dissection of drought tolerance. The purposes of the present study were to validate molecular markers for PH developmental behavior and identify elite alleles of molecular markers. After the phenotyping of 154 accessions for PH dynamic development under well-watered (WW) and drought stressed (DS) conditions, and the genotyping of 60 SSR markers from six candidate chromosome regions related to PH found in our previous linkage mapping studies, both parameters PH and drought tolerance coefficient (DTC) calculated by the conditional analysis were used for association mapping. A total of 46 significant association signals (P < 0.01) were identified in 23 markers, and phenotypic variation ranged from 7 to 50%. Among them, four markers Xgwm261-2D, Xgwm495-4B, Xbarc109-4B and Xcfd23-4D were detected under both water regimes. Furthermore, 10 markers were associated with DTC, and four with both parameters PH and DTC at the same plant development stage. The results revealed different allelic effects of associated markers; for example, the 155 bp Xgwm495-4B allele was associated with a reduced height of -11.2 cm under DS and -15.3 cm under WW, whereas the 167 bp allele exhibited increased height effects of 3.9 and 8.1 cm, respectively. This study demonstrates a strong power of joint association analysis and linkage mapping for the identification of important genes in wheat.

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QTL mapping for developmental behavior of plant height in wheat (Triticum aestivum L.)

Cited by 71 publications

References 30 publications

Molecular dissection of plant height QTLs using recombinant inbred lines from hybrids between common wheat (Triticum aestivum L.) and spelt wheat (Triticum spelta L.)

Molecular dissection of plant height QTLs using recombinant inbred lines from hybrids between common wheat (Triticum aestivum L.) and spelt wheat (Triticum spelta L.)

Conditional QTL underlying resistance to late blight in a diploid potato population

Association mapping of dynamic developmental plant height in common wheat

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