A multidisciplinary phenotyping and genotyping analysis of a mapping population enables quality to be combined with yield in rice

Mariafe Calingacion, Roland Mumm, Kevin Tan, Lenie Quiatchon-Baeza, Jeanaflor C.T. Concepcion, Jos A. Hageman, Sangeeta Prakash, Melissa Fitzgerald, Robert D. Hall*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)

Abstract

In this study a mapping population (F8) of ca 200 progeny from a cross between the commercial rice varieties Apo and IR64 has been both genotyped and phenotyped. A genotyping-by-sequencing approach was first used to identify 2,681 polymorphic SNP markers which gave dense coverage of the genome with a good distribution across all 12 chromosomes. The coefficient of parentage was also low, at 0.13, confirming that the parents are genetically distant from each other. The progeny, together with both parents, were grown under irrigated and water restricted conditions in a randomised block design. All grain was harvested to determine variation in yield across the population. The grains were then polished following standard procedures prior to performing the phenotyping analyses. A Gas Chromatography-Mass Spectrometry approach was used to determine the volatile biochemical profiles of each line and after data curation and processing, discriminatory metabolites were putatively identified based on in-house and commercial spectral libraries. These data were used to predict the potential role of these metabolites in determining differences in aroma between genotypes. A number of QTLs for yield and for individual metabolites have been identified. Following these combined multi-disciplinary analyses, it proved possible to identify a number of lines which appeared to combine the favourable aroma attributes of IR64 with the favourable (higher) yield potential of Apo. As such, these lines are excellent candidates to assess further as potential genotypes to work up into a new variety of rice which has both good yield and good quality, thus meeting the needs of both farmer and consumer alike.
Original languageEnglish
Article number32
JournalFrontiers in Molecular Biosciences
Volume4
Issue numberMAY
DOIs
Publication statusPublished - 22 May 2017

Keywords

  • Aroma
  • GC-MS analysis
  • Metabolomics
  • QTL
  • Rice
  • Segregating population
  • Sensory
  • Yield

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