Erratum to: Identification and analysis of the germin-like gene family in soybean

Lu, Mo; Han, Yingpeng; Gao, Jiguo; Wang, Xiangjing; Li, Wenbin

doi:10.1186/1471-2164-12-16

Cited by 6 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our results from meta-analysis clearly demonstrated a gain in precision, reaching up to 12-fold smaller confidence interval in the mQTL, as compared with the population specific maps (Table 4). Similar results have been reported in other studies [20,23,24,30,31]. As shown in Table 4, the number of candidate genes within the 4 most conserved mQTL associated with GY both under water stressed and optimum environments varied from 48 to 289, and will thus require a further shrinking by fine mapping.…”

Section: Discussionsupporting

confidence: 87%

Meta-analyses of QTL for grain yield and anthesis silking interval in 18 maize populations evaluated under water-stressed and well-watered environments

et al. 2013

View full text Add to dashboard Cite

BackgroundIdentification of QTL with large phenotypic effects conserved across genetic backgrounds and environments is one of the prerequisites for crop improvement using marker assisted selection (MAS). The objectives of this study were to identify meta-QTL (mQTL) for grain yield (GY) and anthesis silking interval (ASI) across 18 bi-parental maize populations evaluated in the same conditions across 2-4 managed water stressed and 3-4 well watered environments.ResultsThe meta-analyses identified 68 mQTL (9 QTL specific to ASI, 15 specific to GY, and 44 for both GY and ASI). Mean phenotypic variance explained by each mQTL varied from 1.2 to 13.1% and the overall average was 6.5%. Few QTL were detected under both environmental treatments and/or multiple (>4 populations) genetic backgrounds. The number and 95% genetic and physical confidence intervals of the mQTL were highly reduced compared to the QTL identified in the original studies. Each physical interval of the mQTL consisted of 5 to 926 candidate genes.ConclusionsMeta-analyses reduced the number of QTL by 68% and narrowed the confidence intervals up to 12-fold. At least the 4 mQTL (mQTL2.2, mQTL6.1, mQTL7.5 and mQTL9.2) associated with GY under both water-stressed and well-watered environments and detected up to 6 populations may be considered for fine mapping and validation to confirm effects in different genetic backgrounds and pyramid them into new drought resistant breeding lines. This is the first extensive report on meta-analysis of data from over 3100 individuals genotyped using the same SNP platform and evaluated in the same conditions across a wide range of managed water-stressed and well-watered environments.

show abstract

Section: Discussionsupporting

confidence: 87%

Meta-analyses of QTL for grain yield and anthesis silking interval in 18 maize populations evaluated under water-stressed and well-watered environments

et al. 2013

View full text Add to dashboard Cite

show abstract

“…Although the genome of Glycine max was released in 2010 (Schmutz et al, 2010), the functions of most soybean genes remain unclear. Analysing the structure, evolution and functions of the soybean gene family can be achieved through data mining, and some successful cases have been reported (Lu et al, 2010;Li and Dhaubhadel, 2011). Genome-wide BLAST searches reveals that the soybean genome harbours ten CYP707A genes (Table 1), located on seven different chromosomes and with similar ORF length and protein size ( Table 3).…”

Section: Discussionmentioning

confidence: 99%