Molecular Dissection of the Relationships among Tiller Number, Plant Height and Heading Date in Rice

Pleiotropic Quantitative Trait Loci Contribute to Population Divergence in Traits Associated With Life-History Variation in Mimulus guttatus

“…In Arabidopsis thaliana, timing to flowering is controlled by 5-12 QTL (Mitchell-Olds 1996;Alonso-Blanco et al 1998;Ungerer et al 2002), and the particular QTL detected can differ when plants are grown in different environments (Weinig et al 2002). In crop plants, traits differentiating annual and perennial forms are mostly polygenic (Paterson et al 1995;Hu et al 2003;Cui et al 2004;Westerbergh and Doebley 2004). Without further genetic dissection of genomic regions in Mimulus and comparisons in different environments, it is difficult to determine if our results are inconsistent with polygenic inheritence of life-history traits.…”

“…Fine-scale mapping with additional markers and larger mapping populations are needed to distinguish truly pleiotropic loci from tightly linked loci. Other studies have consistently found evidence suggesting that individual QTL have pleiotropic effects on multiple floral, vegetative, or life-history characters (Mitchell-Olds 1996;Juenger et al 2000;Ungerer et al 2002;Cui et al 2004;Westerbergh and Doebley 2004), although all of these studies rely on QTL mapping on individual traits, rather than using our approach of joint mapping. The joint-mapping approach offers the advantage of allowing us to directly test whether different traits are affected by a particular QTL at that position and provides greater power to detect pleiotropy ( Jiang and Zeng 1995).…”

“…Numerous studies have found evidence for pleiotropy affecting multiple traits Jiang et al 1999;Westerbergh and Doebley 2002;Cui et al 2004). Of course, fine mapping of pleiotropic QTL can reveal separate, tightly linked QTL (i.e., Knight et al 2001).…”

Identification of QTLs for Improvement of Plant Type in Rice (Oryza sativaL.) Using Koshihikari / Kasalath Chromosome Segment Substitution Lines and Backcross Progeny F2Population

“…M a n y r e s e a r c h e r s h a v e r e p o r t e d Q T L s f o r agronomic traits toward the improvement of plant type such as culm length, plant height, panicle number, chlorophyll content and specific leaf weight etc. (Wu and Luo, 1996;Ishimaru et al, 2001;Yamamoto et al, 2001;Wang et al, 2003;Cui et al, 2004;Dong et al, 2005). For example, Ishimaru et al (2001) constructed a rice function map for some agronomic characters with Nipponbare / Kasalath BILs and detected 9 QTLs for plant height, 3 QTLs for panicle number per plant, 10 QTLs for chlorophyll content, 5 QTLs for leaf area and 2 QTLs for specific leaf area.…”

Correlation between allele sizes of microsatellites and phenotypic variations in rice landraces

“…Tillers per plant had a significant correlation with the allele size of RM257, RM18, RM5, RM224, and RM247, among which RM18 and RM224 were also linked with tillers per plant. Panicles per plant displayed significant correlations with the allele size of RM258 related with spikelet fertility (Cui et al, 2004). Days to heading displayed a significant correlation with the allele size of RM223 (r = 0.200 ** ), RM232 (0.143 ** ), RM224 ( -0.113 ** ), and RM60 ( -0.084 * ), of which RM60 was also linked with days to heading (Thomson et al, 2003).…”