Structural variation in the 5′ upstream region of photoperiod-insensitive alleles Ppd-A1a and Ppd-B1a identified in hexaploid wheat (Triticum aestivum L.), and their effect on heading time

Nishida, Hidetaka; Yoshida, Tetsuya; Kawakami, Kenji; Fujita, Masaya; Long, Bo; Akashi, Yukari; Laurie, D. A.; Kato, Kenji

doi:10.1007/s11032-012-9765-0

Cited by 159 publications

(153 citation statements)

References 35 publications

Supporting

Mentioning

148

Contrasting

Unclassified

Order By: Relevance

“…Most Japanese wheat cultivars, except those in the Hokkaido area, carry the Ppd-D1a allele on 2DS, which contributes to their early-flowering phenotype (Seki et al, 2011;Nguyen et al, 2013a). The Ppd-D1a mutant allele is photoperiod-insensitive because of a 2-kb deletion upstream of the coding region in a pseudo-response regulator gene (Beales et al, 2007;Nishida et al, 2013). Most spring-type landraces of southwest Japan carry a domi-nant Vrn-D1 allele on 5DL (Iwaki et al, 2001), and the spring habit caused by this allele shows slightly shorter narrow-sense earliness .…”

Section: Introductionmentioning

confidence: 99%

Quantitative trait locus analysis for flowering-related traits using two F<sub>2</sub> populations derived from crosses between Japanese common wheat cultivars and synthetic hexaploids

et al. 2015

View full text Add to dashboard Cite

Flowering time is an important trait for Japanese wheat breeding. Aegilops tauschii, the D-genome donor of hexaploid wheat, is a useful resource to enlarge the D-genome diversity of common wheat. Previously, we identified floweringrelated QTLs in F 2 populations of synthetic hexaploid wheat lines between the tetraploid wheat cultivar Langdon and Ae. tauschii accessions. Here, to evaluate the usefulness of the early-flowering alleles from Ae. tauschii for Japanese wheat breeding, QTL analyses were conducted in two F 2 populations derived from crosses between Japanese wheat cultivars and early-flowering lines of synthetic hexaploid wheat. Only two chromosomal regions controlling flowering-related traits were identified, on chromosomes 2DS and 5AL in the mapping populations, and no previously identified QTLs were found in the synthetic hexaploid lines. The strong effect of the 2DS QTL, putatively corresponding to Ppd-D1, was considered to hide any significant expression of other QTLs with small effects on flowering-related traits. When F 2 individuals carrying Ae. tauschii-homozygous alleles around the 2DS QTL region were selected, the Ae. tauschii-derived alleles of the previously identified flowering QTLs partly showed an early-flowering phenotype compared with the Japanese wheat-derived alleles. Thus, some early-flowering alleles from Ae. tauschii may be useful for production of early-flowering Japanese wheat cultivars.

show abstract

Section: Introductionmentioning

confidence: 99%

Quantitative trait locus analysis for flowering-related traits using two F<sub>2</sub> populations derived from crosses between Japanese common wheat cultivars and synthetic hexaploids

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Several genes controlling photoperiod response have been successfully identified in wheat ( Table 2). The Ppd-1 genes (Ppd-A1, Ppd-B1, and Ppd-D1) induce flowering time irrespective of the day length in contrast to the Ppd-B2 gene reported on the short arm of chromosome 7B, which accelerates flowering time only under LD conditions [41,42,43]. The potency of the insensitivity of the photoperiod response genes has been ranked in the order:…”

Section: The Influence Of Photoperiod Response Genes On the Floweringmentioning

confidence: 99%

“…For photoperiod response genes, photoperiod insensitivity is induced by indels in the 5' upstream region of pseudoresponse regulator (PPR) genes, which do not exist in photoperiod-sensitive varieties [41,46,49]. For instance, a 2 kb deletion in the Ppd-D1 promoter region of chromosome 2D results in a semi-dominant, photoperiod-insensitive allele (Ppd-D1a).…”

Section: The Role Of Diagnostic Molecular Markers In the Detection Ofmentioning

confidence: 99%

“…Besides the Ppd-D1 gene, two more loci namely, Ppd-A1 and Ppd-B1, have been identified and shown to have effects as strong as that of Ppd-D1 in accelerating flowering time in bread wheat [20,41,42,99]. In a study to investigate the effect of Ppd-B1a allele on flowering time in wheat, it was shown that Ppd-B1 displays copy number variation (CNV) [20].…”

Section: The Role Of Diagnostic Molecular Markers In the Detection Ofmentioning

confidence: 99%

See 1 more Smart Citation

Impact of Growth Habit and Architecture Genes on Adaptation and Performance of Bread Wheat

Khumalo¹,

Maphosa²,

Tsilo³

2017

Wheat Improvement, Management and Utilization

View full text Add to dashboard Cite

In bread wheat (Triticum aestivum L.), flowering time and plant stature are important phenological and agronomic traits for adaptation, yield potential, and yield stability. Timely flowering is critical for production, and the flowering window has to be late enough to avoid early season frosts but early enough to avoid late season stresses such as heat and terminal drought. Flowering time is controlled mainly by vernalization, photoperiod response, and earliness per se genes, which can be exploited to fine-tune growth and tailor flowering time for the production of desirable wheat cultivars. Tailoring flowering time could help reduce preharvest sprouting problems by escaping high temperatures and late season rainfall, which promote preharvest sprouting, hence yield loss. Concisely summarizing available information on flowering time and identifying research gaps could provide direction for future research. This chapter, therefore, discusses: (i) the progress made in discovering genes involved and the impact of their extensive allelic variation on flowering time, (ii) the potential benefits of tailoring wheat's flowering time to improve yield, and (iii) the benefits of introgressing genes for other complimentary traits, such as semidwarf and preharvest sprouting resistance on advanced lines to achieve higher yield, thus, sustainable food security.

show abstract

“…The reaction mixture contained 1.5 µl of 10 × PCR buffer containing MgCl 2 , 1.5 µl of 2 mM dNTP mixture, 1.5 µl of 2 µM primers (total volume for each primer), 0.07 µl of Taq DNA polymerase (5 U/µl) (all Roche Diagnostics GmbH, Mannheim, Germany), and 100-150 ng of template DNA. For the analysis of Ppd-A1, Ppd-D1, and the presence of the Vrn-A1, Vrn-B1, and Vrn-D1 alleles, protocols from Fu et al (2005), Beales et al (2007), Milec et al (2012), and Nishida et al (2012) were used. The alleles were differentiated according to fragment length and dominant markers.…”

Section: Cultivarsmentioning

confidence: 99%

Length of prematurity period in wheat cultivars determines maximum cereal aphid abundance

Trávníčková¹,

Pánková²,

Martinková³

et al. 2016

Plant Prot. Sci.

View full text Add to dashboard Cite

Trávníčková M., Pánková K., Martinková Z., Honěk A. (2016): Length of prematurity period in wheat cultivars determines maximum cereal aphid abundance. Plant Protect. Sci., 52: 254-261.Maximum aphid numbers on wheat are positively related to the length of the period elapsed from immigration to the population peak. We predicted that maximum abundances on late maturing cultivars would be greater than on early ones. This was tested using 8 spring wheat cultivars that differed in the length of time to senescence. In a 4-year experiment, numbers of aphids were checked at weekly intervals. Maximum abundances on late-maturing cultivars were significantly greater than those on early cultivars. However, the length of the vegetation period affected maximum abundances less than did the annual variation in aphid abundance. Genetic disposition for early ripening thus tends to decrease aphid numbers, but manipulation of this character is unlikely to become an important source of aphid resistance.

show abstract

Structural variation in the 5′ upstream region of photoperiod-insensitive alleles Ppd-A1a and Ppd-B1a identified in hexaploid wheat (Triticum aestivum L.), and their effect on heading time

Cited by 159 publications

References 35 publications

Quantitative trait locus analysis for flowering-related traits using two F<sub>2</sub> populations derived from crosses between Japanese common wheat cultivars and synthetic hexaploids

Quantitative trait locus analysis for flowering-related traits using two F<sub>2</sub> populations derived from crosses between Japanese common wheat cultivars and synthetic hexaploids

Impact of Growth Habit and Architecture Genes on Adaptation and Performance of Bread Wheat

Length of prematurity period in wheat cultivars determines maximum cereal aphid abundance

Contact Info

Product

Resources

About