Time for a paradigm shift in the use of plant genetic resources

Belzile, François; Abed, Amina; Torkamaneh, Davoud

doi:10.1139/gen-2019-0141

Cited by 15 publications

(8 citation statements)

References 25 publications

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“…Genebanks have the long-term mission of preserving plant genetic resources (PGRs) with the aim that they might be used in the future, either directly or as material in breeding programs to address changing environmental conditions, new biotic pressures, or societal needs (Halewood et al, 2018;Belzile et al, 2020). Today, large collections of genetic resources (>10 000 accessions) are maintained for every major crop (e.g., wheat, rice, barley, soybean, etc.)…”

Section: Cannabis and Genebanks: A Controversial Relationshipmentioning

confidence: 99%

Cannabis, the multibillion dollar plant that no genebank wanted

Torkamaneh

Jones

2022

Genome

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Although cannabis is legalized and accepted as an agricultural commodity in many places around the world, a significant lack of public germplasm repositories remains an unresolved problem in the cannabis industry. The acquisition, preservation and evaluation of germplasm including landraces and ancestral populations is key to unleash the full potential of cannabis in the global marketplace. We argue here that accessible germplasm resources are crucial for long-term economic viability, preserving genetic diversity, breeding, innovation, and the long-term sustainability of the crop. We believe that cannabis restrictions require a second look to allow genebanks to play a fuller and more effective role in conservation, sustainable use, and exchange of cannabis genetic resources.

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Section: Cannabis and Genebanks: A Controversial Relationshipmentioning

confidence: 99%

Cannabis, the multibillion dollar plant that no genebank wanted

Torkamaneh

Jones

2022

Genome

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“…The data raised from this MQTL study help to refine genomic targets for validation and subsequent development of haplotypic markers in breeding programs. Information of the identified MQTLs can also be used for genetic transformation or allele screening in germplasm collections (ecoTilling) for finding new alleles capable of improving yield, quality, and micronutrient traits (Izquierdo et al, 2018;Belzile et al, 2020). Additionally, a promising application of the variation within these MQTL regions might be their introduction as fixed effects in genomic selection (GS) models to increase the accuracy of the prediction models in their use in wheat breeding programs (Spindel et al, 2016;Izquierdo et al, 2018).…”

Section: Mqtls and Functional Candidate Genesmentioning

confidence: 99%

Comparative Genomic Analysis of Quantitative Trait Loci Associated With Micronutrient Contents, Grain Quality, and Agronomic Traits in Wheat (Triticum aestivum L.)

et al. 2021

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Comparative genomics and meta-quantitative trait loci (MQTLs) analysis are important tools for the identification of reliable and stable QTLs and functional genes controlling quantitative traits. We conducted a meta-analysis to identify the most stable QTLs for grain yield (GY), grain quality traits, and micronutrient contents in wheat. A total of 735 QTLs retrieved from 27 independent mapping populations reported in the last 13 years were used for the meta-analysis. The results showed that 449 QTLs were successfully projected onto the genetic consensus map which condensed to 100 MQTLs distributed on wheat chromosomes. This consolidation of MQTLs resulted in a three-fold reduction in the confidence interval (CI) compared with the CI for the initial QTLs. Projection of QTLs revealed that the majority of QTLs and MQTLs were in the non-telomeric regions of chromosomes. The majority of micronutrient MQTLs were located on the A and D genomes. The QTLs of thousand kernel weight (TKW) were frequently associated with QTLs for GY and grain protein content (GPC) with co-localization occurring at 55 and 63%, respectively. The co- localization of QTLs for GY and grain Fe was found to be 52% and for QTLs of grain Fe and Zn, it was found to be 66%. The genomic collinearity within Poaceae allowed us to identify 16 orthologous MQTLs (OrMQTLs) in wheat, rice, and maize. Annotation of promising candidate genes (CGs) located in the genomic intervals of the stable MQTLs indicated that several CGs (e.g., TraesCS2A02G141400, TraesCS3B02G040900, TraesCS4D02G323700, TraesCS3B02G077100, and TraesCS4D02G290900) had effects on micronutrients contents, yield, and yield-related traits. The mapping refinements leading to the identification of these CGs provide an opportunity to understand the genetic mechanisms driving quantitative variation for these traits and apply this information for crop improvement programs.

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“…There is a rapidly emerging client base for "digital genebanks", i.e., for comprehensive online searchable repositories of information on genetic resources, as users increasingly require access to digital information associated with accessions. It is clear that genebanks will need to evolve, not only to improve how they work and catch up with the advanced state of breeding (particularly for the most advanced crops, although under-utilized and less intensively bred crops will follow), but also to accommodate a changing role [26][27][28][29].…”

Section: Advances In Breedingmentioning

confidence: 99%

Envisaging an Effective Global Long-Term Agrobiodiversity Conservation System That Promotes and Facilitates Use

Lusty¹,

Hamilton²,

Guarino³

et al. 2021

Plants

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Genebanks were established out of a recognised need not just to provide genetic variation to support breeding objectives but to prevent crop diversity from being lost entirely for future users. Such conservation objectives may have led, over the past few decades, to a gradually diminishing connection between genebanks and current users of diversity. While there continues to be large-scale distribution of germplasm from genebanks to recipients worldwide, relatively little is known or published about the detailed trends in the demand for genebank materials. Meanwhile, the rapid expansion of the applications and uses of modern genomic technologies and approaches is, undoubtedly, having a transformational impact on breeding, research and the demand for certain genetic resources and associated data. These trends will require genebanks to be responsive and to adapt. They also provide important opportunities for genebanks to reorganize and become more efficient individually and as a community. Ultimately, future challenges and opportunities are likely to drive more demand for genetic diversity and provide an important basis for genebanks to gear up.

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Time for a paradigm shift in the use of plant genetic resources

Cited by 15 publications

References 25 publications

Cannabis, the multibillion dollar plant that no genebank wanted

Cannabis, the multibillion dollar plant that no genebank wanted

Comparative Genomic Analysis of Quantitative Trait Loci Associated With Micronutrient Contents, Grain Quality, and Agronomic Traits in Wheat (Triticum aestivum L.)

Envisaging an Effective Global Long-Term Agrobiodiversity Conservation System That Promotes and Facilitates Use

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