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Tasma, I Made; Lorenzen, L. L.; Green, D.E.; Shoemaker, Randy C.

doi:10.1023/a:1011998116037

Cited by 94 publications

(11 citation statements)

References 36 publications

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“…The F 2 plants were grouped into the early class (n = 110) or the late one (n = 34) by separation at 106 DAE; the observed frequencies also fit a 3:1 ratio ( Table 2, n = 144, χ 2 = 0.15, major QTL, most likely corresponded to E1, accounted for 79% of the observed variation, in accordance with previous findings that E1 has the largest effect on soybean flowering (Cober et al, 1996;Liu et al, 2007;Xia et al, 2012;Tsubokura et al, 2013b). To test the possibility that the QTL on LG J, detected by Tasma et al (2001), corresponded to the E9 gene, we determined the genotype at the E1, E2, E3, and E4 loci, and the DNA markers ID1 and M6 adjacent to the E9 gene for Shensei and Corsoy. In the RILs with e1 nl , only one major QTL was identified, on Gm16 between SSR markers Satt215 and Satt431, similar to the position found by Liu et al (2007).…”

Section: Resultssupporting

confidence: 86%

“…A similar result was obtained for maturing time. Tasma et al (2001) detected QTL conditioning days to flowering under LD, including a minor QTL on LG J (Gm16) in the cross between photoperiod-insensitive Japanese cultivar Shinsei and a photoperiod-sensitive cultivar Corsoy. To remove the effect of E1 on flowering time, we performed the QTL analysis for each of two groups of RILs, one for the RILs having the E1 allele and the other for those having the e1 nl allele.…”

Section: Resultsmentioning

confidence: 97%

“…Goodness of fit to a 1:2:1 ratio of days to flowering in two F 3 populations derived from two soybean crosses TK780 × TH85 and TK780 × TH03. Tasma et al (2001) detected QTL conditioning days to flowering under LD, including a minor QTL on LG J (Gm16) in the cross between photoperiod-insensitive Japanese cultivar Shinsei and a photoperiod-sensitive cultivar Corsoy. The QTL detected on LG J was located near the E9 locus region reported here.…”

Section: Resultsmentioning

confidence: 97%

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A New Dominant Gene E9 Conditions Early Flowering and Maturity in Soybean

et al. 2014

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Adaptability of soybean [Glycine max (L.) Merr.] to a wide range of latitudes is attributed to the natural variation in the major genes and quantitative trait loci (QTL) that control flowering time and maturity. Identification of novel genes and understanding their molecular basis is critical to improving soybean productivity. We identified a new locus conditioning days to flowering and maturity that was detected in hybrid progeny between cultivated and wild soybeans. A backcross was made between the recurrent parent Tokei 780 and two early-flowering recombinant inbred lines (rILs; from the cross Tokei 780 × Hidaka 4, a wild soybean accession, all of which possessed an identical genotype at the major four maturity loci, E1 to E4). The segregation patterns observed in the F 2 and F 3 progeny derived from the two crosses revealed that early-flowering was controlled by a single dominant gene. The gene was fine-mapped to a 245-kb interval between markers M5 and M7 on Gm16. A tagging marker ID1 was significantly associated with the variation in days to flowering (0.82, p < 0.01) and maturity (0.76, p < 0.01) in the F 2 population. The new early-flowering gene and its tagging marker are very useful for molecular breeding towards early maturity and stable productivity of soybean under high-latitude environments. The gene symbol E9e9 has been assigned. E9E9 results in early maturity and e9e9 results in late maturity.

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Section: Resultssupporting

confidence: 86%

Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 97%

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A New Dominant Gene E9 Conditions Early Flowering and Maturity in Soybean

et al. 2014

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“…The evolution of flowering time was crucial for developing cultivars adapted to a wider geographical regions [34,35]. We found that two genes related to flowering time, GmCRY1a ( Glyma04g11010 .…”

Section: Resultsmentioning

confidence: 99%

Molecular footprints of domestication and improvement in soybean revealed by whole genome re-sequencing

et al. 2013

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BackgroundArtificial selection played an important role in the origin of modern Glycine max cultivars from the wild soybean Glycine soja. To elucidate the consequences of artificial selection accompanying the domestication and modern improvement of soybean, 25 new and 30 published whole-genome re-sequencing accessions, which represent wild, domesticated landrace, and Chinese elite soybean populations were analyzed.ResultsA total of 5,102,244 single nucleotide polymorphisms (SNPs) and 707,969 insertion/deletions were identified. Among the SNPs detected, 25.5% were not described previously. We found that artificial selection during domestication led to more pronounced reduction in the genetic diversity of soybean than the switch from landraces to elite cultivars. Only a small proportion (2.99%) of the whole genomic regions appear to be affected by artificial selection for preferred agricultural traits. The selection regions were not distributed randomly or uniformly throughout the genome. Instead, clusters of selection hotspots in certain genomic regions were observed. Moreover, a set of candidate genes (4.38% of the total annotated genes) significantly affected by selection underlying soybean domestication and genetic improvement were identified.ConclusionsGiven the uniqueness of the soybean germplasm sequenced, this study drew a clear picture of human-mediated evolution of the soybean genomes. The genomic resources and information provided by this study would also facilitate the discovery of genes/loci underlying agronomically important traits.

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“…Each dominant gene had a smaller effect on maturity of soybean planted in summer than in spring [32]. The effects of the QTLs varied with the photoperiodic conditions [33] and latitudinal environments [34] and were population-specific, which enabled the plants to adjust to different climatic conditions [33, 34]. However, the responses of flowering time to photoperiod and temperature has not been systematically analysed.…”

Section: Introductionmentioning

confidence: 99%

Association mapping of loci controlling genetic and environmental interaction of soybean flowering time under various photo-thermal conditions

Mao

Zhang

et al. 2017

BMC Genomics

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BackgroundSoybean (Glycine max (L.) Merr.) is a short day plant. Its flowering and maturity time are controlled by genetic and environmental factors, as well the interaction between the two factors. Previous studies have shown that both genetic and environmental factors, mainly photoperiod and temperature, control flowering time of soybean. Additionally, these studies have reported gene × gene and gene × environment interactions on flowering time. However, the effects of quantitative trait loci (QTL) in response to photoperiod and temperature have not been well evaluated. The objectives of the current study were to identify the effects of loci associated with flowering time under different photo-thermal conditions and to understand the effects of interaction between loci and environment on soybean flowering.MethodsDifferent photoperiod and temperature combinations were obtained by adjusting sowing dates (spring sowing and summer sowing) or day-length (12 h, 16 h). Association mapping was performed on 91 soybean cultivars from different maturity groups (MG000-VIII) using 172 SSR markers and 5107 SNPs from the Illumina SoySNP6K iSelectBeadChip. The effects of the interaction between QTL and environments on flowering time were also analysed using the QTXNetwork.ResultsLarge-effect loci were detected on Gm 11, Gm 16 and Gm 20 as in previous reports. Most loci associated with flowering time are sensitive to photo-thermal conditions. Number of loci associated with flowering time was more under the long day (LD) than under the short day (SD) condition. The variation of flowering time among the soybean cultivars mostly resulted from the epistasis × environment and additive × environment interactions. Among the three candidate loci, i.e. Gm04_4497001 (near GmCOL3a), Gm16_30766209 (near GmFT2a and GmFT2b) and Gm19_47514601 (E3 or GmPhyA3), the Gm04_4497001 may be the key locus interacting with other loci for controlling soybean flowering time.ConclusionThe effects of loci associated with the flowering time of soybean were dependent upon the photo-thermal conditions. This study facilitates the understanding of the genetic mechanism of soybean flowering and molecular breeding for the improvement of soybean adaptability to specific and/or broad regions.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-017-3778-3) contains supplementary material, which is available to authorized users.

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Untitled

Cited by 94 publications

References 36 publications

A New Dominant Gene E9 Conditions Early Flowering and Maturity in Soybean

A New Dominant Gene E9 Conditions Early Flowering and Maturity in Soybean

Molecular footprints of domestication and improvement in soybean revealed by whole genome re-sequencing

Association mapping of loci controlling genetic and environmental interaction of soybean flowering time under various photo-thermal conditions

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