Literature DB >> 30968249

Shovelomics for phenotyping root architectural traits of rapeseed/canola (Brassica napus L.) and genome-wide association mapping.

Muhammad Arifuzzaman1, Atena Oladzadabbasabadi1, Phillip McClean1, Mukhlesur Rahman2.   

Abstract

Root system in plants plays an important role in mining moisture and nutrients from the soil and is positively correlated to yield in many crops including rapeseed/canola (Brassica napus L.). Substantial phenotypic diversity in root architectural traits among the B. napus growth types leads to a scope of root system improvement in breeding populations. In this study, 216 diverse genotypes were phenotyped for five different root architectural traits following shovelomics approach in the field condition during 2015 and 2016. A single nucleotide polymorphism (SNP) marker panel consisting of 30,262 SNPs was used to conduct genome-wide association study to detect marker/trait association. A total of 31 significant marker loci were identified at 0.01 percentile tail P value cutoff for different root traits. Six marker loci for soil-level taproot diameter (R1Dia), six loci for belowground taproot diameter (R2Dia), seven loci for number of primary root branches (PRB), eight loci for root angle, and eight loci for root score (RS) were detected in this study. Several markers associated with root diameters R1Dia and R2Dia were also associated with PRB and RS. Significant phenotypic correlation between these traits was observed in both environments. Therefore, taproot diameter appears to be a major determinant of the canola root system architecture and can be used as proxy for other root traits. Fifteen candidate genes related to root traits and root development were detected within 100 kbp upstream and downstream of different significant markers. The identified markers associated with different root architectural traits can be considered for marker-assisted selection for root traits in canola in future.

Entities:  

Keywords:  Brassica napus; GWAS; Marker assisted selection; Root architectural traits; Shovelomics

Mesh:

Year:  2019        PMID: 30968249     DOI: 10.1007/s00438-019-01563-x

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  7 in total

1.  Objective Phenotyping of Root System Architecture Using Image Augmentation and Machine Learning in Alfalfa (Medicago sativa L.).

Authors:  Zhanyou Xu; Larry M York; Anand Seethepalli; Bruna Bucciarelli; Hao Cheng; Deborah A Samac
Journal:  Plant Phenomics       Date:  2022-04-07

2.  DIRT/3D: 3D root phenotyping for field-grown maize (Zea mays).

Authors:  Suxing Liu; Carlos Sherard Barrow; Meredith Hanlon; Jonathan P Lynch; Alexander Bucksch
Journal:  Plant Physiol       Date:  2021-10-05       Impact factor: 8.340

3.  High-throughput three-dimensional visualization of root system architecture of rice using X-ray computed tomography.

Authors:  Takanari Tanabata; Yusaku Uga; Shota Teramoto; Satoko Takayasu; Yuka Kitomi; Yumiko Arai-Sanoh
Journal:  Plant Methods       Date:  2020-05-11       Impact factor: 4.993

Review 4.  Omics: The way forward to enhance abiotic stress tolerance in Brassica napus L.

Authors:  Ali Raza; Ali Razzaq; Sundas Saher Mehmood; Muhammad Azhar Hussain; Su Wei; Huang He; Qamar U Zaman; Zhang Xuekun; Mirza Hasanuzzaman
Journal:  GM Crops Food       Date:  2021-01-02       Impact factor: 3.074

5.  Intricate genetic variation networks control the adventitious root growth angle in apple.

Authors:  Caixia Zheng; Fei Shen; Yi Wang; Ting Wu; Xuefeng Xu; Xinzhong Zhang; Zhenhai Han
Journal:  BMC Genomics       Date:  2020-12-01       Impact factor: 3.969

Review 6.  Advances and Challenges for QTL Analysis and GWAS in the Plant-Breeding of High-Yielding: A Focus on Rapeseed.

Authors:  Shahid Ullah Khan; Sumbul Saeed; Muhammad Hafeez Ullah Khan; Chuchuan Fan; Sunny Ahmar; Osvin Arriagada; Raheel Shahzad; Ferdinando Branca; Freddy Mora-Poblete
Journal:  Biomolecules       Date:  2021-10-15

Review 7.  Abiotic Stress and Belowground Microbiome: The Potential of Omics Approaches.

Authors:  Marco Sandrini; Luca Nerva; Fabiano Sillo; Raffaella Balestrini; Walter Chitarra; Elisa Zampieri
Journal:  Int J Mol Sci       Date:  2022-01-19       Impact factor: 5.923

  7 in total

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