Mapping QTL Associated with Photoperiod Sensitivity and Assessing the Importance of QTL×Environment Interaction for Flowering Time in Maize

Wang, Cuiling; Chen, Yanhui; Ku, Lixia; Tie-gu, Wang; Sun, Zhaohui; Cheng, Fei; Wu, Liancheng

doi:10.1371/journal.pone.0014068

Cited by 22 publications

(15 citation statements)

References 40 publications

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“…We identified QTLs related to heading date on chromosomes 2H, 5H and 7H, where QTLs for drought tolerance have been reported in other studies. QTLs connected with yield structure were found near QTLs identified for earliness, which is also in agreement with other studies (Wang et al 2010a; Honsdorf et al 2014; Mansour et al 2014; Mehravaran et al 2014). …”

Section: Discussionsupporting

confidence: 92%

“…In the present study, QTLs with large effects for yield, plant height, number of productive tillers, length of spike, spikelet number and number and weight of grain were found near SNP 5880–2547 on chromosome 2H. Results obtained in numerous studies have shown that loci associated with the length of spikes are placed on all the barley chromosomes (Hori et al 2003; Sameri et al 2006; Baghizadeh et al 2007; Wang et al 2010a, b). The localisation of the QTL for earliness on chromosome 2H coincided with QTLs for spike morphology.…”

Section: Discussionsupporting

confidence: 57%

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QTLs for earliness and yield-forming traits in the Lubuski × CamB barley RIL population under various water regimes

et al. 2016

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Drought has become more frequent in Central Europe causing large losses in cereal yields, especially of spring crops. The development of new varieties with increased tolerance to drought is a key tool for improvement of agricultural productivity. Material for the study consisted of 100 barley recombinant inbred lines (RILs) (LCam) derived from the cross between Syrian and European parents. The RILs and parental genotypes were examined in greenhouse experiments under well-watered and water-deficit conditions. During vegetation the date of heading, yield and yield-related traits were measured. RIL population was genotyped with microsatellite and single nucleotide polymorphism markers. This population, together with two other populations, was the basis for the consensus map construction, which was used for identification of quantitative trait loci (QTLs) affecting the traits. The studied lines showed a large variability in heading date. It was noted that drought-treatment negatively affected the yield and its components, especially when applied at the flag leaf stage. In total, 60 QTLs were detected on all the barley chromosomes. The largest number of QTLs was found on chromosome 2H. The main QTL associated with heading, located on chromosome 2H (Q.HD.LC-2H), was identified at SNP marker 5880–2547, in the vicinity of Ppd-H1 gene. SNP 5880–2547 was also the closest marker to QTLs associated with plant architecture, spike morphology and grain yield. The present study showed that the earliness allele from the Syrian parent, as introduced into the genome of an European variety could result in an improvement of barley yield performance under drought conditions.Electronic supplementary materialThe online version of this article (doi:10.1007/s13353-016-0363-4) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 57%

QTLs for earliness and yield-forming traits in the Lubuski × CamB barley RIL population under various water regimes

et al. 2016

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“…Plants start to flower when specific photoperiod or temperature conditions are met. Previous studies of photoperiod sensitivity were either undertaken by comparison of flowering time QTL identified in different photoperiod environments or to indirectly speculate the photoperiod sensitivity QTL using traits like flowering time, DPS, PH and so on (Moutiq et al 2002; Wang et al 2008; Wang et al 2010). Proper trait measurements are needed to efficiently evaluate the photoperiod sensitivity.…”

Section: Evaluation Of Flowering Time and Photoperiod Sensitivity In mentioning

confidence: 99%

“…As different traits display different levels of sensitivity to photoperiod, the time needed for development is poorly coordinated, resulting in extremely vegetative growth in the vegetative stage, later maturity, higher plant, longer ASI and ineffective pollination or no pollination. Therefore, LN, PH and flowering time including DPS, DS, DA and tassel were found to be highly associated with photoperiod sensitivity in maize (Moutiq et al 2002; Salvi et al 2009; Wang et al 2010; Zhang et al 2011). Female flowering is more easily influenced by abiotic stresses and diseases, and male flowering and LN were thus used to accurately estimate photoperiod sensitivity because of their stability in adverse climatic conditions (Koester et al 1993).…”

Section: Evaluation Of Flowering Time and Photoperiod Sensitivity In mentioning

confidence: 99%

The Genetic Architecture of Flowering Time and Photoperiod Sensitivity in Maize as Revealed by QTL Review and Meta Analysis

Liu

et al. 2012

JIPB

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The control of flowering is not only important for reproduction, but also plays a key role in the processes of domestication and adaptation. To reveal the genetic architecture for flowering time and photoperiod sensitivity, a comprehensive evaluation of the relevant literature was performed and followed by meta analysis. A total of 25 synthetic consensus quantitative trait loci (QTL) and four hot-spot genomic regions were identified for photoperiod sensitivity including 11 genes related to photoperiod response or flower morphogenesis and development. Besides, a comparative analysis of the QTL for flowering time and photoperiod sensitivity highlighted the regions containing shared and unique QTL for the two traits. Candidate genes associated with maize flowering were identified through integrated analysis of the homologous genes for flowering time in plants and the consensus QTL regions for photoperiod sensitivity in maize (Zea mays L.). Our results suggest that the combination of literature review, meta-analysis and homologous blast is an efficient approach to identify new candidate genes and create a global view of the genetic architecture for maize photoperiodic flowering. Sequences of candidate genes can be used to develop molecular markers for various models of marker-assisted selection, such as marker-assisted recurrent selection and genomic selection that can contribute significantly to crop environmental adaptation.

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“…In sorghum PSEUDO RESPONSE REGULATOR37 ( PRR37 ) has been identified as the gene underlying Ma1 , the locus that has the largest effect on flowering time and inflorescence maturation in sorghum (Murphy et al 2011). In addition, quantitative genetic analyses have found four to six major quantitative trait loci (QTL) regions controlling flowering time variation in maize (Chardon et al 2004; Salvi et al 2009; Coles et al 2010, 2011; Wang et al 2010; Xu et al 2012). There are also likely a large number of QTL of small effect that control flowering time, with evidence for allelic series at most loci (Buckler et al 2009).…”

mentioning

confidence: 99%

Genetic Control and Comparative Genomic Analysis of Flowering Time in Setaria (Poaceae)

Mauro-Herrera

Wang

Barbier

et al. 2013

G3 Genes|Genomes|Genetics

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We report the first study on the genetic control of flowering in Setaria, a panicoid grass closely related to switchgrass, and in the same subfamily as maize and sorghum. A recombinant inbred line mapping population derived from a cross between domesticated Setaria italica (foxtail millet) and its wild relative Setaria viridis (green millet), was grown in eight trials with varying environmental conditions to identify a small number of quantitative trait loci (QTL) that control differences in flowering time. Many of the QTL across trials colocalize, suggesting that the genetic control of flowering in Setaria is robust across a range of photoperiod and other environmental factors. A detailed comparison of QTL for flowering in Setaria, sorghum, and maize indicates that several of the major QTL regions identified in maize and sorghum are syntenic orthologs with Setaria QTL, although the maize large effect QTL on chromosome 10 is not. Several Setaria QTL intervals had multiple LOD peaks and were composed of multiple syntenic blocks, suggesting that observed QTL represent multiple tightly linked loci. Candidate genes from flowering time pathways identified in rice and Arabidopsis were identified in Setaria QTL intervals, including those involved in the CONSTANS photoperiod pathway. However, only three of the approximately seven genes cloned for flowering time in maize colocalized with Setaria QTL. This suggests that variation in flowering time in separate grass lineages is controlled by a combination of conserved and lineage specific genes.

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Mapping QTL Associated with Photoperiod Sensitivity and Assessing the Importance of QTL×Environment Interaction for Flowering Time in Maize

Cited by 22 publications

References 40 publications

QTLs for earliness and yield-forming traits in the Lubuski × CamB barley RIL population under various water regimes

QTLs for earliness and yield-forming traits in the Lubuski × CamB barley RIL population under various water regimes

The Genetic Architecture of Flowering Time and Photoperiod Sensitivity in Maize as Revealed by QTL Review and Meta Analysis

Genetic Control and Comparative Genomic Analysis of Flowering Time in Setaria (Poaceae)

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