Therefore, it seems like a realistic possibility to identify candidate genes underlying a QTL by using the high throughput expression data and the complete genome sequences of numerous Arabidopsis accessions that were used to construct mapping populations.
Currently, the Oryza research community has access to numerous genomic resources among them a reference sequence, advanced mapping populations, transcriptome data as well as physical and genetic maps.
However, numerous linkage maps have been successfully produced from small mapping populations (50 94 individuals) in several species.
Larger mapping populations, such as the United States Nested Association Mapping (US-NAM) population, have uncovered numerous small to moderate effect QTL and provide a more detailed dissection of the genetic architecture of these complex traits compared to the small number QTL commonly observed in traditional linkage populations (Buckler et al. 2009; Peiffer et al. 2014).
Significant progress in this regard has been made primarily through development and high-throughput genotyping of numerous genome/gene-derived simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers in diverse natural and mapping populations to expedite the process of genetic and association mapping in chickpea.
By using immortalized mapping populations known as recombinant inbred lines (RIL), derived from a variety of accessions, quantitative trait loci (QTL) have been identified for numerous important traits related to the ionome [5].
Flowering time is a well studied trait in Arabidopsis, and numerous flowering time genes have been identified (cloned) in Arabidopsis, based on mutation analysis [22] [24], but that the relationship between these genes and the QTL underlying variation in mapping populations derived from accession crosses is unclear.
We also constructed a bridge map to compare the individual linkage maps using markers that segregated in both mapping populations.
These studies use biparental mapping populations (F2, RILs, NILs etc).
Two mapping populations were used for linkage mapping in this study.
