Literature DB >> 30626760

Genetic dissection of grain morphology in hexaploid wheat by analysis of the NBRP-Wheat core collection.

Motohiro Yoshioka1, Shotaro Takenaka1,2, Miyuki Nitta1, Jianjian Li1, Nobuyuki Mizuno1, Shuhei Nasuda1.   

Abstract

We investigated the genetic diversity of the core collection of hexaploid wheat accessions in the Japanese wheat gene bank, NBRP-Wheat, with a focus on grain morphology. We scanned images of grains in the core collection, which consists of 189 accessions of Triticum aestivum, T. spelta, T. compactum, T. sphaerococcum, T. macha and T. vavilovii. From the scanned images, we recorded six metric characters (area size, perimeter length, grain length, grain width, length to width ratio and circularity) using the software package SmartGrain ver. 1.2. Statistical analyses of the collected data along with hundred-grain weight revealed that T. aestivum has the largest diversity in grain morphology. Principal component analysis of these seven characters demonstrated that two principal components (PCcore1 and PCcore2) explain more than 96% of the variation in the core collection accessions. The correlation coefficients between the principal components and characters indicate that PCcore1 is related to grain size and PCcore2 to grain shape. From a genome-wide association study, we found a total of 15 significant marker-trait associations (MTAs) for grain morphological characters. More interestingly, we found mutually exclusive MTAs for PCcore1 and PCcore2 on 18 and 13 chromosomes, respectively. The results suggest that grain morphology in hexaploid wheat is determined by two factors, grain size and grain shape, which are under the control of multiple genetic loci.

Entities:  

Keywords:  association analysis; core collection; genetic diversity; grain morphology; hexaploid wheat

Mesh:

Year:  2019        PMID: 30626760     DOI: 10.1266/ggs.18-00045

Source DB:  PubMed          Journal:  Genes Genet Syst        ISSN: 1341-7568            Impact factor:   1.517


  2 in total

1.  GWAS for main effects and epistatic interactions for grain morphology traits in wheat.

Authors:  Parveen Malik; Jitendra Kumar; Shiveta Sharma; Prabina Kumar Meher; Harindra Singh Balyan; Pushpendra Kumar Gupta; Shailendra Sharma
Journal:  Physiol Mol Biol Plants       Date:  2022-03-26

2.  Empirical Evaluation of Inflorescences' Morphological Attributes for Yield Optimization of Medicinal Cannabis Cultivars.

Authors:  Erez Naim-Feil; Edmond J Breen; Luke W Pembleton; Laura E Spooner; German C Spangenberg; Noel O I Cogan
Journal:  Front Plant Sci       Date:  2022-04-19       Impact factor: 6.627

  2 in total

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