Identification of QTL underlying vitamin E contents in soybean seed among multiple environments

Li, Haiyan; Liu, Huancheng; Han, Yingpeng; Wu, Xiaoxia; Teng, Weili; Liu, Guifeng; Li, Wenbin

doi:10.1007/s00122-010-1264-2

Cited by 47 publications

(65 citation statements)

References 32 publications

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“…None of these QTLs had major effects, but they were able to influence flowering time through interactions with other loci, an observation in accordance with those reported by Jannink (2007). Furthermore, for qFT-K, no QTL associated with flowering has been previously identified (Li et al 2010;Ha et al 2012).…”

Section: Relationships Between Qtls and The Environmentssupporting

confidence: 85%

QTL mapping for flowering time in different latitude in soybean

Lü

Wang

et al. 2015

Euphytica

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Flowering represents the transition from the vegetative to reproductive phase and plays an important role in many agronomic traits. For soybean, a short day (SD) induced and photoperiod-sensitive plant, delaying flowering time under SD environments is very important and has been used by breeders to increase yields and enhance plant adaptabilities at lower latitudes. The purpose of this study was to identify quantitative trait loci (QTLs) associated with flowering time, especially QTLs underlying the long juvenile (LJ) trait which delays flowering time under SD environments. A population of 91 recombinant inbred lines derived from a cross between AGS292 and K3 was used for map construction and QTL analysis. The map covered 2546.7 cM and included 52 new promoter-specific indel and 9 new exon-specific indel markers. The phenotypic days-to-flowering data were examined in nine environments, including four short-day (SD, low latitude) and five long-day photoperiod (LD, high latitude) environments. For the SD environments, six QTLs were detected. Five of them were associated with the LJ trait. Among the five LJ QTLs, four QTLs may be attributed to the known flowering time genes, including qFT-J-1 for FT5a locus, qFT-J-2 for the FT2a locus, qFT-O for the E2 locus and qFT-L for the E3 locus. This is the first report that the E2, E3, FT2a and FT5a loci may be Sijia Lu, Ying Li, and Jialin Wang have contributed equally to this work. Electronic supplementary materialThe online version of this article (associated with the LJ trait. Under the five LD environments, as expected, qFT-O for the E2 locus and qFT-L for the E3 locus were identified, suggesting that E2 and E3 loci are very important for soybean adaptation in LD photoperiod. Conjoint analysis of multiple environments identified nine additive QTLs and nine pairs of epistatic QTLs, among which most were involved in interactions with the environments. In total, five QTLs (qFT-B2-1, qFT-C1-1, qFT-K, qFT-D2 and qFT-F) were identified that may represent novel flowering time genes. This provides a fundamental foundation for future studies of flowering time in soybean using fine mapping, map-based cloning, and molecular-assisted breeding.

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Section: Relationships Between Qtls and The Environmentssupporting

confidence: 85%

QTL mapping for flowering time in different latitude in soybean

Lü

Wang

et al. 2015

Euphytica

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“…In addition to γ-TMT, other genes involved in the tocochromanol pathway and a few additional loci have been identified as factors for natural tocochromanol variations in major crops using quantitative trait locus (QTL) studies and association analyses (Gilliland et al 2006;Sookwong et al 2009;Li et al 2010;Shutu et al 2012;Lipka et al 2013). Identifying such genetic variations in rice can increase our understanding of the genetic mechanisms controlling tocochromanol variations and provide valuable information that can be applied directly to breeding.…”

Section: Introductionmentioning

confidence: 99%

Natural variations in OsγTMT contribute to diversity of the α-tocopherol content in rice

Wang

Yoon

et al. 2015

Mol Genet Genomics

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Tocopherols and tocotrienols, collectively known as tocochromanols, are lipid-soluble molecules that belong to the group of vitamin E compounds. Among them, α-tocopherol (αΤ) is one of the antioxidants with diverse functions and benefits for humans and animals. Thus, understanding the genetic basis of these traits would be valuable to improve nutritional quality by breeding in rice. Genome-wide association study (GWAS) has emerged as a powerful strategy for identifying genes or quantitative trait loci (QTL) underlying complex traits in plants. To discover the genes or QTLs underlying the naturally occurring variations of αΤ content in rice, we performed GWAS using 1.44 million high-quality single-nucleotide polymorphisms acquired from re-sequencing of 137 accessions from a diverse rice core collection. Thirteen candidate genes were found across 2-year phenotypic data, among which gamma-tocopherol methyltransferase (OsγTMT) was identified as the major factor responsible for the αΤ content among rice accessions. Nucleotide variations in the coding region of OsγTMT were significantly associated with the αΤ content variations, while nucleotide polymorphisms in the promoter region of OsγTMT also could partly demonstrate the correlation with αΤ content variations, according to our RNA expression analyses. This study provides useful information for genetic factors underlying αΤ content variations in rice, which will significantly contribute the research on αΤ biosynthesis mechanisms and αΤ improvement of rice.

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“…The importance of tocopherol for both producer and consumer organisms has led to survey for quantitative trait loci (QTL) determining VTE content 3,[12][13][14][15] . In tomato, we revealed the existence of four metabolic QTL (mQTL) affecting total tocopherol levels in fruits 9 .…”

mentioning

confidence: 99%

Natural occurring epialleles determine vitamin E accumulation in tomato fruits

et al. 2014

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Vitamin E (VTE) content is a low heritability nutritional trait for which the genetic determinants are poorly understood. Here, we focus on a previously detected major tomato VTE quantitative trait loci (QTL; mQTL 9-2-6 ) and identify the causal gene as one encoding a 2-methyl-6-phytylquinol methyltransferase (namely VTE3 (1)) that catalyses one of the final steps in the biosynthesis of g-and a-tocopherols, which are the main forms of VTE. By reverse genetic approaches, expression analyses, siRNA profiling and DNA methylation assays, we demonstrate that mQTL 9-2-6 is an expression QTL associated with differential methylation of a SINE retrotransposon located in the promoter region of VTE3(1). Promoter DNA methylation can be spontaneously reverted leading to different epialleles affecting VTE3(1) expression and VTE content in fruits. These findings indicate therefore that naturally occurring epialleles are responsible for regulation of a nutritionally important metabolic QTL and provide direct evidence of a role for epigenetics in the determination of agronomic traits.

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Identification of QTL underlying vitamin E contents in soybean seed among multiple environments

Cited by 47 publications

References 32 publications

QTL mapping for flowering time in different latitude in soybean

QTL mapping for flowering time in different latitude in soybean

Natural variations in OsγTMT contribute to diversity of the α-tocopherol content in rice

Natural occurring epialleles determine vitamin E accumulation in tomato fruits

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