Skip to main content
Log in

Genome wide association mapping and candidate gene mining for root architectural traits in rapeseed/canola (Brassica napus L.) at late growth stage

  • Published:
Euphytica Aims and scope Submit manuscript

Abstract

Rapeseed/canola (Brassica napus L.) root system varied widely among the winter and spring growth habits in late growth stages. In this study, we have phenotyped seven different root architectural traits with a diversity panel consisting of 224 B. napus accessions grown in greenhouse during 2015 and 2016. A genome-wide association study with 37,500 single nucleotide polymorphism markers was conducted to detect marker trait association. A total of 52 significant marker loci were identified at 0.01 percentile tail P value cutoff for different root traits, ten loci for root length (RL), eleven loci for root angle (RA), nine loci each for number of primary root branches (PRB) and root dry weight, seven loci for root vigor score (RVS), and six loci for root diameters at two points (R1Dia and R2Dia). Majority of those significant marker loci were distributed on five chromosomes, A01, A02, A04, C03 and C06. Twenty-two candidate genes related to root traits and root development were detected within 50 kbp upstream and downstream of different significant markers. Three of these candidate genes, P-glycoprotein 6 (PGP6), Tetraspanin 7 (TET7) and ARABIDILLO-2 were detected within the marker loci chrC03_12098594 (RL), chrA01_8813067 (PRB), and chrA04_rand_54410 (R1Dia). Multiple marker loci associated with different root traits were detected within a close physical distances on chromosome A01, A02, A04 and C03 referring possible co-localization of the loci for different root traits. Twelve significant markers were validated the marker-trait association for PRB, RVS, RL and RA in 20 germplasm accessions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Availability of data and material

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request

References

Download references

Funding

This research was funded by National institute of Food and Agriculture (NIFA), NDSU Center of Excellence for Agbiotechnology.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mukhlesur Rahman.

Ethics declarations

Conflicts of interest

The authors declare that they have no conficts of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Fig. S1

Root phenotyping procedure in the greenhouse at a glance (TIFF 489 kb)

Fig. S1

Phenotypic distribution of different root architectural traits in E1 (2015), E2 (2016) and combined data set (TIFF 133 kb)

Supplementary material 3 (XLSX 16 kb)

Supplementary material 4 (DOCX 17 kb)

Supplementary material 5 (DOCX 14 kb)

Supplementary material 6 (DOCX 33 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Arifuzzaman, M., Rahman, M. Genome wide association mapping and candidate gene mining for root architectural traits in rapeseed/canola (Brassica napus L.) at late growth stage. Euphytica 216, 164 (2020). https://doi.org/10.1007/s10681-020-02700-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10681-020-02700-z

Keywords

Navigation