2018
DOI: 10.1186/s12870-018-1233-5
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Identification of minor effect QTLs for plant architecture related traits using super high density genotyping and large recombinant inbred population in maize (Zea mays)

Abstract: BackgroundPlant Architecture Related Traits (PATs) are of great importance for maize breeding, and mainly controlled by minor effect quantitative trait loci (QTLs). However, cloning or even fine-mapping of minor effect QTLs is very difficult in maize. Theoretically, large population and high density genetic map can be helpful for increasing QTL mapping resolution and accuracy, but such a possibility have not been actually tested.ResultsHere, we employed a genotyping-by-sequencing (GBS) strategy to construct a … Show more

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Cited by 37 publications
(33 citation statements)
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References 72 publications
(76 reference statements)
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“…According to published studies, PVE of major QTLs should be larger than 15% [72-74], or larger than 10% [75]. PVE of QTLs in the present study were between 2.29-7.87%, therefore they all had minor effects.…”
Section: Resultssupporting
confidence: 45%
“…According to published studies, PVE of major QTLs should be larger than 15% [72-74], or larger than 10% [75]. PVE of QTLs in the present study were between 2.29-7.87%, therefore they all had minor effects.…”
Section: Resultssupporting
confidence: 45%
“…In Syn10 mutant F1 plants we detected a FlHT QTL, centered at 3.2 Mbp, at the top of chromosome 9 close to the position of height QTL for wildtype plants from B73 x Mo17 crosses detected in multiple previous studies (Beavis et al 1991Austin et al 2001;Liu et al 2015). Others have noted that this QTL colocalizes with the dwarf plant3 (d3) gene (Beavis et al 1991;Wang et al 2006Wang et al , 2018 encoding Ent-kaurenoic acid oxidase (B73 v4 Zm00001d045563; Winker and Helentjaris 1995). There is a strong cis-eQTL in the IBM transcriptomic data that accounts for 63% of the variation in DWARF PLANT3 mRNA accumulation (Li et al 2013).…”
Section: Plant Height In Oy1-n1989 Shows a Non-linear Effect Directiosupporting
confidence: 57%
“…In general, increasing the density of markers can increase the resolution of genetic maps, thereby improving the precision of QTL mapping [54,77]. Previous QTL studies of grape traits were mainly based on lower marker numbers (<1000) with relatively high QTL intervals, which affected the accuracy of QTLs and hard-to-locate candidate genes [33,78]. With the rapid development of sequencing technologies and bioinformatics, a large number of polymorphic molecular markers to meet the needs for high-density genetic map construction can be identified, and high-resolution linkage maps have been successfully used for QTL fine mapping in many crops, such as soybean, cotton, pear, and jujube [57][58][59]76].…”
Section: Discussionmentioning
confidence: 99%