2007
DOI: 10.1186/1471-2164-8-22
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Identification of candidate genes associated with cell wall digestibility and eQTL (expression quantitative trait loci) analysis in a Flint × Flint maize recombinant inbred line population

Abstract: Background: Cell-wall digestibility is the major target for improving the feeding value of forage maize. An understanding of the molecular basis for cell-wall digestibility is crucial towards breeding of highly digestible maize.

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Cited by 67 publications
(44 citation statements)
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“…S3), consistent with reports from other species (15,(18)(19)(20)(21)(22)(23) and of trans-regulation of diverse biological processes in maize (24)(25)(26)(27)(28). Previous studies may have overestimated the number or proportion of cis-regulated genes (3,29) due to ascertainment bias because they only analyzed genes containing single nucleotide polymorphisms between B73 and Mo17 and/or had limited statistical power to detect the more subtle effects of trans-eQTL (15).…”
supporting
confidence: 84%
“…S3), consistent with reports from other species (15,(18)(19)(20)(21)(22)(23) and of trans-regulation of diverse biological processes in maize (24)(25)(26)(27)(28). Previous studies may have overestimated the number or proportion of cis-regulated genes (3,29) due to ascertainment bias because they only analyzed genes containing single nucleotide polymorphisms between B73 and Mo17 and/or had limited statistical power to detect the more subtle effects of trans-eQTL (15).…”
supporting
confidence: 84%
“…Knowledge on regulation of gene expression and pathways has recently been combined with genetic linkage analysis, allowing localisation of eQTLs in linkage maps for further MAS breeding (Shi et al, 2007).…”
Section: Molecular Histology: a Brief View Into The Futurementioning
confidence: 99%
“…It is now well established that natural genetic variation contributes significantly to variation in gene expression, and the loci of regulatory variation for individual transcripts have been mapped in yeast (Brem and Kruglyak 2005), mice (Schadt et al 2003), rats (Hubner et al 2005), humans (Morley et al 2004), maize (Shi et al 2007), Eucalyptus (Kirst et al 2005), and Arabidopsis (West et al 2007). These studies show that variation in transcript abundance arises from expression quantitative trait loci (eQTL) that can be classified as either local (cis-eQTLs) or distant (trans-eQTLs) regulatory variants (Rockman and Kruglyak 2006).…”
mentioning
confidence: 99%