SlideShare a Scribd company logo
1 of 23
Download to read offline
EFSA’s activities on the risk
assessment of RNAi-based
GM crops
Nikoletta Papadopoulou, Fernando Álvarez-
Alfageme, Yann Devos, Anna Lanzoni, Matthew
Ramon, Claudia Paoletti, Elisabeth Waigmann
GMO Unit
11 April 2019
 EFSA is responsible to perform a pre-market risk assessment (RA) of
GMOs with regard to human and animal health and the environment
 RA is performed by the GMO Panel, ad-hoc experts, and GMO Unit
scientists
 GM CROPS: soybean, maize, oilseed rape, cotton
 MAJOR TRAITS (single or stacked): insect resistance and herbicide
tolerance
RISK ASSESSMENT OF GMO IN EUROPE
RNAi technology application in GM plants:
• is used for down-regulation of specific target genes in planta or in
insect pests
• dsRNA or artificial miRNA can be used to elicit a silencing response
• Use of dsRNA more advanced for market applications
RNAi IN GM PLANT APPLICATIONS
1. KEY OUTCOMES FROM EFSA WORKSHOP ON RNAI, 2014
2. EFSA PROCUREMENTS: MC (2017), ERA (2018), FF (2019)
3. GMO PANEL STRATEGY FOR ASSESSMENT OF RNAi OFF-TARGET
ANALYSIS (2017)
4. EFSA SCIENTIFIC OPINION ON GM MAIZE RESISTANT TO WESTERN
CORN ROOTWORM (WCR) (2018)
REVIEW OF EFSA’S ACTIVITIES ON RA OF
RNAi-BASED GM CROPS
Risks and issues related to the 3 main areas
of GMO risk assessment:
Molecular
characterisation (MC)
Food and feed (FF)
uses
Environmental risk
assessment (ERA)
EFSA 2014 WORKSHOP ON RNAi AND RA
REPORT: International scientific workshop ‘Risk assessment considerations for RNAi-based GM plants’ (4–5 June 2014,
Brussels, Belgium). EFSA supporting publication 2014:EN-705, 38 pp.
KEY MESSAGES FOR MC-1
Off-target effects in the RNAi based GM plant:
 Bioinformatics useful to predict potential off-target effects on plant genes
 NGS useful to map the composition of siRNA pools; but some technical
limitations should be considered
 siRNAs spread systemically in plants; dsRNA spread is unclear
 RNA-dependent RNA polymerases (RdRP) amplify the siRNA signal in
plants, facilitating systemic spread
 Silencing effect throughout the plant should be considered even in
tissue-specific expression of siRNA
Processing of ingested RNAi molecules:
 dsRNA produced in plants can be processed upon oral ingestion by
some organisms (e.g. insects and worms)
 Controversial views on the likelihood of intake and activity of mature
miRNAs from plants in mammals and insects
RNAi molecule intake, processing and mode-of-action may differ
between different taxonomic groups review baseline information
(Paces et al., 2017)
KEY MESSAGES FOR MC-2
Ingestion of RNAi-based GM plants by humans and livestock- Hazard
identification/characterization:
Uptake of ncRNAs molecules through intestinal barrier
• low absorption of naked or formulated ncRNAs in feeding studies
• Some evidence that dietary miRNAs are absorbed (controversial)
Uptake of ncRNAs through the respiratory route
• from pollen: too large for systemic exposure, contains low amounts of
RNAi
• No evidence of absorption of ncRNAs from the air by inhalation
KEY MESSAGES FOR FF-1
Ingestion of RNAi-based GM plants by humans and livestock-
Hazard identification/characterization:
• Target homology across species
• Unintended (off-target) effects
• Immune stimulation
 Review of baseline information by Davalos et al. under finalization
KEY MESSAGES FOR FF-2
Considerations on the usefulness of animal studies for food/feed risk
assessment based on:
 Properties of dsRNA (absorption, stability, degradation)
 Physical barriers
 No evidence for toxicity of RNAi molecules after ingestion
 not supported by scientific knowledge on dsRNA properties and
mode of action
KEY MESSAGES FOR FF-3
Dietary intake of dsRNA
• Key molecule ingested by arthropods
• Uptake of 21nt siRNAs not observed in WCR midgut cells (Bolognesi
et al., 2012)
• Plant-derived siRNAs considered less relevant for arthropods than dsRNA
 Multiple factors can affect RNAi efficiency in arthropods
(reviewed by Christiaens et al. 2018)
KEY MESSAGES FOR ERA-1
• Any dsRNA or siRNA molecule with sufficient homology to an
arthropod mRNA could trigger an off-target effect
• Substantial overlap in 21 bp regions necessary to trigger an off-
target effect, but some mismatches allowed
 Bioinformatics data may provide supplementary information to
predict off-target effects and support species selection for RA, but
cannot at present replace toxicity studies
KEY OUTCOMES FOR ERA-2
Off target effects on non-target arthropods of ingested RNAi-
based GM material
Considerations on Testing approach and Test Substance
• Ecotoxicological studies:
• dsRNA has been used as test material (e.g., Bachman et al., 2016),
as mostly dsRNA is ingested by arthropods
• Measurement endpoints and life stages Selection dependent on
trait and target gene; sublethal effects should also be measured
• NTO testing with in planta material, to capture unanticipated
unintended effects
 Tiered approach remains appropriate
KEY OUTCOMES FOR ERA-3
 Casacuberta JM, Devos Y, du Jardin P, Ramon M, Vaucheret H and
Nogué F, 2015. Biotechnological uses of RNA interference in plants:
Risk assessment considerations. Trends in Biotechnology, 33, 145–
147
 Ramon M, Devos Y, Lanzoni A, Liu Y, Gomes A, Gennaro A and
Waigmann E, 2014. RNAi-based GM plants: Food for thought for risk
assessors. Plant Biotechnology Journal, 12, 1271–1273
 Roberts AF, Devos Y, Lemgo GNY and Zhou X, 2015. Biosafety
research for non-target organism risk assessment of RNAi-based GE
plants. Frontiers in Plant Sciences, 6, 958
Food for thought for risk assessors
Literature review of baseline information to
support the RA of RNAi-based GM plants
Molecular
characterisation
(Paces et al., 2017)
Food and feed (FF)
(Davalos et al., under
finalization)
Environmental risk
assessment (ERA)
(Christiaens et al.,
2018)
THREE EFSA PROCUREMENTS
 Paces et al., 2017 summarized knowledge on MC RA related aspects:
• Mode of action of dsRNA and miRNA pathways in animal and plants
• Potential non-target gene regulation
• siRNA pools in plant tissues and the siRNA silencing effect
 Davalos et al. reviews information relevant to FF RA from ncRNA-based
GM plants, focusing on:
• Stability and degradation of ncRNAs after oral ingestion
• Passage of ncRNAs from food to humans and animals via the
gastrointestinal (GI) tract and other barriers,
• Systemic or immune system effects
OUTCOME OF THE LITERATURE REVIEW
 Christiaens et al., 2018 reviewed the scientific information relevant
to the ERA RA focusing on:
• Oral ingestion and spread of RNAi in arthropods, nematodes,
annelids and molluscs
• Mechanisms of dsRNA-, siRNA- and miRNA-elicited gene silencing
• Environmental fate of ncRNAs
• Non-target effects and their mechanisms
Bioinformatics data may provide supplementary information to predict off-target
effects and support species selection for RA, but cannot at present replace toxicity
studies
OUTCOME OF THE LITERATURE REVIEW-ERA
Internal note on the strategy and technical aspects for small RNA plant
off-target bioinformatics studies (Annex II, Minutes of the 118th GMO
Panel meeting) - considerations on:
 the search algorithm parameters (e.g. complementarity mismatches)
 the number of different small RNAs showing significant similarity to
the same potential off target transcript
 the established or predicted function of the potential off-targets that
could impact on the safety of the GM plant and/or derived products as
food/feed, or in the environment
The search for small RNA off-targets in the GM plant could have value for
the risk assessment of GM plants
PREDICTION OF RNAi OFF-TARGET GENES
IN PLANTS
RA OF RNAi-BASED GM MAIZE
Assessment of genetically modified maize MON 87411 for food and feed
uses, import and processing, under Regulation (EC) No 1829/2003
(application EFSA‐GMO‐NL‐2015‐124)
 Resistance to western corn rootworms (Diabrotica spp.) by:
I. the expression of a modified version of the Bacillus thuringiensis
cry3Bb1 gene, and
II. a DvSnf7 dsRNA expression cassette;
 Tolerance to glyphosate‐containing herbicides by the expression of a
cp4 epsps gene.
240nt long dsRNA used to down‐regulate the Snf7 gene transcript in
WCR via RNAi, leading to pest mortality after consumption
RA OF RNAi -BASED GM MAIZE
MC
 Assessment for off-target genes in plant;
 Measure of DvSnf7 dsRNA levels in different tissues, not considered
relevant for RA.
FF
 28-day tox study provided for maize MON 87411, not assessed: a)
usefulness not scientifically justified; b) deviating from OECD TG
407.
ERA
 No/limited exposure of GM maize expected
1. Current framework for GMO RA (guidelines and regulatory data requirements)
is sufficient for RA of RNAi-based GM plant RA.
2. Additional considerations on:
 MC: Analysis of off-target effects in plant genes adds value to RA;
 FF: Animal studies for assessment of dsRNA toxicity in FF RA is not justified
based on current scientific knowledge;
 ERA: dsRNA market applications exclude cultivation in Europe; if NT
arthropods feed directly on dsRNA-expressing plants, or consumption of
plant-fed herbivores is expected, further information for exposure assessment
will be needed.
CONCLUSIONS
GMO Panel Experts
GMO Unit colleagues:
 Yann Devos
 Anna Lanzoni
 Matthew Ramon
ACKNOWLEDGEMENTS
Stay connected
www.efsa.europa.eu/en/engage/careers
www.efsa.europa.eu/en/rss
Subscribe to
Engage with careers
Follow us on Twitter
@efsa_eu
@plants_efsa
@methods_efsa
www.efsa.europa.eu/en/news/newsletters

More Related Content

What's hot

Problem formulation considerations for externally applied dsRNA-based product...
Problem formulation considerations for externally applied dsRNA-based product...Problem formulation considerations for externally applied dsRNA-based product...
Problem formulation considerations for externally applied dsRNA-based product...OECD Environment
 
The European perspective on regulatory aspects and experiences with dsRNA-bas...
The European perspective on regulatory aspects and experiences with dsRNA-bas...The European perspective on regulatory aspects and experiences with dsRNA-bas...
The European perspective on regulatory aspects and experiences with dsRNA-bas...OECD Environment
 
Variation in responsiveness to environmental RNAi in insects - University of ...
Variation in responsiveness to environmental RNAi in insects - University of ...Variation in responsiveness to environmental RNAi in insects - University of ...
Variation in responsiveness to environmental RNAi in insects - University of ...OECD Environment
 
Potential for dsRNA-based management of plant diseases - Karl-Heinz Kogel, Ju...
Potential for dsRNA-based management of plant diseases - Karl-Heinz Kogel, Ju...Potential for dsRNA-based management of plant diseases - Karl-Heinz Kogel, Ju...
Potential for dsRNA-based management of plant diseases - Karl-Heinz Kogel, Ju...OECD Environment
 
RNAi as a novel technology in pest control: current status and challenges - O...
RNAi as a novel technology in pest control: current status and challenges - O...RNAi as a novel technology in pest control: current status and challenges - O...
RNAi as a novel technology in pest control: current status and challenges - O...OECD Environment
 
RNA interference technologies to control pests and pathogens - Steve Whyard -...
RNA interference technologies to control pests and pathogens - Steve Whyard -...RNA interference technologies to control pests and pathogens - Steve Whyard -...
RNA interference technologies to control pests and pathogens - Steve Whyard -...OECD Environment
 
Background to the draft OECD Working Paper on ‘Environmental Risks from the A...
Background to the draft OECD Working Paper on ‘Environmental Risks from the A...Background to the draft OECD Working Paper on ‘Environmental Risks from the A...
Background to the draft OECD Working Paper on ‘Environmental Risks from the A...OECD Environment
 
SIGS-A potential biopesticide strategy in Plant Disease Management.pptx
SIGS-A potential biopesticide strategy in Plant Disease Management.pptxSIGS-A potential biopesticide strategy in Plant Disease Management.pptx
SIGS-A potential biopesticide strategy in Plant Disease Management.pptxVajrammaBoggala
 
Rna interference in insect pest management
Rna interference in insect pest managementRna interference in insect pest management
Rna interference in insect pest managementamoldchokhat
 
CRISPR, cas9 in plant disease resistance
CRISPR, cas9 in plant disease resistance CRISPR, cas9 in plant disease resistance
CRISPR, cas9 in plant disease resistance N.H. Shankar Reddy
 
Aafreen credit seminar 1
Aafreen credit seminar 1Aafreen credit seminar 1
Aafreen credit seminar 1SKUAST Kashmir
 
Gene editing with CRISPR/Cas9: sorghum as a case study
Gene editing with CRISPR/Cas9: sorghum as a case studyGene editing with CRISPR/Cas9: sorghum as a case study
Gene editing with CRISPR/Cas9: sorghum as a case studyapaari
 
Antisense RNA in crop
Antisense RNA in cropAntisense RNA in crop
Antisense RNA in cropVinod Pawar
 
Engineering plant immunity using crispr cas9 to generate virus resistance
Engineering plant immunity using crispr cas9 to generate virus resistanceEngineering plant immunity using crispr cas9 to generate virus resistance
Engineering plant immunity using crispr cas9 to generate virus resistanceSheikh Mansoor
 
Editing rice-genome with CRISPR/Cas9: To improve agronomic traits for increa...
Editing rice-genome with CRISPR/Cas9:  To improve agronomic traits for increa...Editing rice-genome with CRISPR/Cas9:  To improve agronomic traits for increa...
Editing rice-genome with CRISPR/Cas9: To improve agronomic traits for increa...apaari
 

What's hot (20)

Problem formulation considerations for externally applied dsRNA-based product...
Problem formulation considerations for externally applied dsRNA-based product...Problem formulation considerations for externally applied dsRNA-based product...
Problem formulation considerations for externally applied dsRNA-based product...
 
The European perspective on regulatory aspects and experiences with dsRNA-bas...
The European perspective on regulatory aspects and experiences with dsRNA-bas...The European perspective on regulatory aspects and experiences with dsRNA-bas...
The European perspective on regulatory aspects and experiences with dsRNA-bas...
 
Variation in responsiveness to environmental RNAi in insects - University of ...
Variation in responsiveness to environmental RNAi in insects - University of ...Variation in responsiveness to environmental RNAi in insects - University of ...
Variation in responsiveness to environmental RNAi in insects - University of ...
 
Potential for dsRNA-based management of plant diseases - Karl-Heinz Kogel, Ju...
Potential for dsRNA-based management of plant diseases - Karl-Heinz Kogel, Ju...Potential for dsRNA-based management of plant diseases - Karl-Heinz Kogel, Ju...
Potential for dsRNA-based management of plant diseases - Karl-Heinz Kogel, Ju...
 
RNAi as a novel technology in pest control: current status and challenges - O...
RNAi as a novel technology in pest control: current status and challenges - O...RNAi as a novel technology in pest control: current status and challenges - O...
RNAi as a novel technology in pest control: current status and challenges - O...
 
RNA interference technologies to control pests and pathogens - Steve Whyard -...
RNA interference technologies to control pests and pathogens - Steve Whyard -...RNA interference technologies to control pests and pathogens - Steve Whyard -...
RNA interference technologies to control pests and pathogens - Steve Whyard -...
 
Background to the draft OECD Working Paper on ‘Environmental Risks from the A...
Background to the draft OECD Working Paper on ‘Environmental Risks from the A...Background to the draft OECD Working Paper on ‘Environmental Risks from the A...
Background to the draft OECD Working Paper on ‘Environmental Risks from the A...
 
SIGS-A potential biopesticide strategy in Plant Disease Management.pptx
SIGS-A potential biopesticide strategy in Plant Disease Management.pptxSIGS-A potential biopesticide strategy in Plant Disease Management.pptx
SIGS-A potential biopesticide strategy in Plant Disease Management.pptx
 
RNA interference in insect pest management (RNAi in ipm)
RNA interference  in insect pest management (RNAi in ipm)RNA interference  in insect pest management (RNAi in ipm)
RNA interference in insect pest management (RNAi in ipm)
 
Rna interference in insect pest management
Rna interference in insect pest managementRna interference in insect pest management
Rna interference in insect pest management
 
Seminar on crispr
Seminar on crisprSeminar on crispr
Seminar on crispr
 
CRISPR, cas9 in plant disease resistance
CRISPR, cas9 in plant disease resistance CRISPR, cas9 in plant disease resistance
CRISPR, cas9 in plant disease resistance
 
CRISPR CAS9.pptx
CRISPR CAS9.pptxCRISPR CAS9.pptx
CRISPR CAS9.pptx
 
Aafreen credit seminar 1
Aafreen credit seminar 1Aafreen credit seminar 1
Aafreen credit seminar 1
 
Gene editing with CRISPR/Cas9: sorghum as a case study
Gene editing with CRISPR/Cas9: sorghum as a case studyGene editing with CRISPR/Cas9: sorghum as a case study
Gene editing with CRISPR/Cas9: sorghum as a case study
 
Antisense RNA in crop
Antisense RNA in cropAntisense RNA in crop
Antisense RNA in crop
 
Crispr/Cas9
Crispr/Cas9Crispr/Cas9
Crispr/Cas9
 
Engineering plant immunity using crispr cas9 to generate virus resistance
Engineering plant immunity using crispr cas9 to generate virus resistanceEngineering plant immunity using crispr cas9 to generate virus resistance
Engineering plant immunity using crispr cas9 to generate virus resistance
 
Editing rice-genome with CRISPR/Cas9: To improve agronomic traits for increa...
Editing rice-genome with CRISPR/Cas9:  To improve agronomic traits for increa...Editing rice-genome with CRISPR/Cas9:  To improve agronomic traits for increa...
Editing rice-genome with CRISPR/Cas9: To improve agronomic traits for increa...
 
Ppt for seminar
Ppt for seminarPpt for seminar
Ppt for seminar
 

Similar to Review of EFSA’s activities on the risk assessment of RNAi-based GM crops - Nikoletta Papadopoulou, European Food Safety Authority, EU

Antisense and rnai
Antisense and rnaiAntisense and rnai
Antisense and rnairoshni mohan
 
1 s2.0-s0167779914002522-main
1 s2.0-s0167779914002522-main1 s2.0-s0167779914002522-main
1 s2.0-s0167779914002522-mainAgegnehu Wasse
 
R genes in Plants
R genes in PlantsR genes in Plants
R genes in PlantsJana Pnr
 
Role of antisense RNAi in gene silencing in crop
Role of antisense RNAi in gene silencing in cropRole of antisense RNAi in gene silencing in crop
Role of antisense RNAi in gene silencing in cropKheta Ram Tak
 
Sandesh pawar master seminar
Sandesh pawar  master seminarSandesh pawar  master seminar
Sandesh pawar master seminarsnehaljikamade
 
RNA Interference (RNAi)
RNA Interference (RNAi)RNA Interference (RNAi)
RNA Interference (RNAi)Suresh Antre
 
Seminar of ent 691 pbk 2020 final
Seminar of ent 691 pbk 2020 finalSeminar of ent 691 pbk 2020 final
Seminar of ent 691 pbk 2020 finalPrashant Kp
 
RNA interference (RNAi)
RNA interference (RNAi) RNA interference (RNAi)
RNA interference (RNAi) KK CHANDEL
 
Marker assisted selection of male sterility in rice --vipin
Marker assisted selection of male sterility in rice --vipin Marker assisted selection of male sterility in rice --vipin
Marker assisted selection of male sterility in rice --vipin Vipin Kannan
 
Article presentation on Small RNA
Article presentation on Small RNAArticle presentation on Small RNA
Article presentation on Small RNAVarsha Gayatonde
 
Comparacao animal planta
Comparacao animal plantaComparacao animal planta
Comparacao animal plantaAgegnehu Wasse
 
Rna interference
Rna interferenceRna interference
Rna interferenceBOOBASHRAJ
 
Micro RNARNA INTERFERENCE AND ITS APPLICATIONS IN CROP IMPROVE...
Micro RNARNA INTERFERENCE     AND 	ITS  APPLICATIONS IN         	CROP IMPROVE...Micro RNARNA INTERFERENCE     AND 	ITS  APPLICATIONS IN         	CROP IMPROVE...
Micro RNARNA INTERFERENCE AND ITS APPLICATIONS IN CROP IMPROVE...SANIVARAPUNAGALAKSHM
 
Comprehensive Agrigenomics Solutions
Comprehensive Agrigenomics SolutionsComprehensive Agrigenomics Solutions
Comprehensive Agrigenomics SolutionsKikoGarcia13
 
Advance Plant Breeding Techniques
Advance Plant Breeding TechniquesAdvance Plant Breeding Techniques
Advance Plant Breeding TechniquesKhem Raj Pant
 
Genetic variability and phylogenetic relationships studies of Aegilops L. usi...
Genetic variability and phylogenetic relationships studies of Aegilops L. usi...Genetic variability and phylogenetic relationships studies of Aegilops L. usi...
Genetic variability and phylogenetic relationships studies of Aegilops L. usi...Innspub Net
 
Antisense genes in plants and their applications in crop improvement
Antisense genes in plants and their applications in crop improvementAntisense genes in plants and their applications in crop improvement
Antisense genes in plants and their applications in crop improvementAmritaGiri5
 
Antisense genes in plant and their application in crop improvement
Antisense genes in plant and their application in crop improvementAntisense genes in plant and their application in crop improvement
Antisense genes in plant and their application in crop improvementAmritaGiri5
 

Similar to Review of EFSA’s activities on the risk assessment of RNAi-based GM crops - Nikoletta Papadopoulou, European Food Safety Authority, EU (20)

Antisense and rnai
Antisense and rnaiAntisense and rnai
Antisense and rnai
 
1 s2.0-s0167779914002522-main
1 s2.0-s0167779914002522-main1 s2.0-s0167779914002522-main
1 s2.0-s0167779914002522-main
 
R genes in Plants
R genes in PlantsR genes in Plants
R genes in Plants
 
Role of antisense RNAi in gene silencing in crop
Role of antisense RNAi in gene silencing in cropRole of antisense RNAi in gene silencing in crop
Role of antisense RNAi in gene silencing in crop
 
Sandesh pawar master seminar
Sandesh pawar  master seminarSandesh pawar  master seminar
Sandesh pawar master seminar
 
RNA Interference (RNAi)
RNA Interference (RNAi)RNA Interference (RNAi)
RNA Interference (RNAi)
 
Seminar of ent 691 pbk 2020 final
Seminar of ent 691 pbk 2020 finalSeminar of ent 691 pbk 2020 final
Seminar of ent 691 pbk 2020 final
 
RNA interference (RNAi)
RNA interference (RNAi) RNA interference (RNAi)
RNA interference (RNAi)
 
Marker assisted selection of male sterility in rice --vipin
Marker assisted selection of male sterility in rice --vipin Marker assisted selection of male sterility in rice --vipin
Marker assisted selection of male sterility in rice --vipin
 
Article presentation on Small RNA
Article presentation on Small RNAArticle presentation on Small RNA
Article presentation on Small RNA
 
Comparacao animal planta
Comparacao animal plantaComparacao animal planta
Comparacao animal planta
 
Rna interference
Rna interferenceRna interference
Rna interference
 
Micro RNARNA INTERFERENCE AND ITS APPLICATIONS IN CROP IMPROVE...
Micro RNARNA INTERFERENCE     AND 	ITS  APPLICATIONS IN         	CROP IMPROVE...Micro RNARNA INTERFERENCE     AND 	ITS  APPLICATIONS IN         	CROP IMPROVE...
Micro RNARNA INTERFERENCE AND ITS APPLICATIONS IN CROP IMPROVE...
 
MARKER ASSISTED SELECTION
MARKER ASSISTED SELECTIONMARKER ASSISTED SELECTION
MARKER ASSISTED SELECTION
 
Comprehensive Agrigenomics Solutions
Comprehensive Agrigenomics SolutionsComprehensive Agrigenomics Solutions
Comprehensive Agrigenomics Solutions
 
Advance Plant Breeding Techniques
Advance Plant Breeding TechniquesAdvance Plant Breeding Techniques
Advance Plant Breeding Techniques
 
Genetic variability and phylogenetic relationships studies of Aegilops L. usi...
Genetic variability and phylogenetic relationships studies of Aegilops L. usi...Genetic variability and phylogenetic relationships studies of Aegilops L. usi...
Genetic variability and phylogenetic relationships studies of Aegilops L. usi...
 
Moeller-2012pub
Moeller-2012pubMoeller-2012pub
Moeller-2012pub
 
Antisense genes in plants and their applications in crop improvement
Antisense genes in plants and their applications in crop improvementAntisense genes in plants and their applications in crop improvement
Antisense genes in plants and their applications in crop improvement
 
Antisense genes in plant and their application in crop improvement
Antisense genes in plant and their application in crop improvementAntisense genes in plant and their application in crop improvement
Antisense genes in plant and their application in crop improvement
 

More from OECD Environment

Detlef Van Vuuren- Integrated modelling for interrelated crises.pdf
Detlef Van Vuuren- Integrated modelling for interrelated crises.pdfDetlef Van Vuuren- Integrated modelling for interrelated crises.pdf
Detlef Van Vuuren- Integrated modelling for interrelated crises.pdfOECD Environment
 
Thomas Hertel- Integrated Policies for the Triple Planetary Crisis.pdf
Thomas Hertel- Integrated Policies for the Triple Planetary Crisis.pdfThomas Hertel- Integrated Policies for the Triple Planetary Crisis.pdf
Thomas Hertel- Integrated Policies for the Triple Planetary Crisis.pdfOECD Environment
 
Jon Sampedro - Assessing synergies and trade offs for health and sustainable ...
Jon Sampedro - Assessing synergies and trade offs for health and sustainable ...Jon Sampedro - Assessing synergies and trade offs for health and sustainable ...
Jon Sampedro - Assessing synergies and trade offs for health and sustainable ...OECD Environment
 
Astrid Bos - Identifying trade offs & searching for synergies.pdf
Astrid Bos - Identifying trade offs & searching for synergies.pdfAstrid Bos - Identifying trade offs & searching for synergies.pdf
Astrid Bos - Identifying trade offs & searching for synergies.pdfOECD Environment
 
Ruth Delzeit - Modelling environmental and socio-economic impacts of cropland...
Ruth Delzeit - Modelling environmental and socio-economic impacts of cropland...Ruth Delzeit - Modelling environmental and socio-economic impacts of cropland...
Ruth Delzeit - Modelling environmental and socio-economic impacts of cropland...OECD Environment
 
Wilfried Winiwarter - Implementing nitrogen pollution control pathways in the...
Wilfried Winiwarter - Implementing nitrogen pollution control pathways in the...Wilfried Winiwarter - Implementing nitrogen pollution control pathways in the...
Wilfried Winiwarter - Implementing nitrogen pollution control pathways in the...OECD Environment
 
Laurent Drouet - Physical and Economic Risks of Climate Change.pdf
Laurent Drouet - Physical and Economic Risks of Climate Change.pdfLaurent Drouet - Physical and Economic Risks of Climate Change.pdf
Laurent Drouet - Physical and Economic Risks of Climate Change.pdfOECD Environment
 
Shinichiro Fujimori - Biodiversity modeling in AIM (Asia pacific Integrated M...
Shinichiro Fujimori - Biodiversity modeling in AIM (Asia pacific Integrated M...Shinichiro Fujimori - Biodiversity modeling in AIM (Asia pacific Integrated M...
Shinichiro Fujimori - Biodiversity modeling in AIM (Asia pacific Integrated M...OECD Environment
 
HyeJin Kim and Simon Smart - The biodiversity nexus across multiple drivers: ...
HyeJin Kim and Simon Smart - The biodiversity nexus across multiple drivers: ...HyeJin Kim and Simon Smart - The biodiversity nexus across multiple drivers: ...
HyeJin Kim and Simon Smart - The biodiversity nexus across multiple drivers: ...OECD Environment
 
GREEN Action Task Force - Full Presentations.pdf
GREEN Action Task Force - Full Presentations.pdfGREEN Action Task Force - Full Presentations.pdf
GREEN Action Task Force - Full Presentations.pdfOECD Environment
 
Case Study: Peptides-based Plant Protection Product (harpin proteins*) by Ros...
Case Study: Peptides-based Plant Protection Product (harpin proteins*) by Ros...Case Study: Peptides-based Plant Protection Product (harpin proteins*) by Ros...
Case Study: Peptides-based Plant Protection Product (harpin proteins*) by Ros...OECD Environment
 
CLE Contribution on the Assessment of Innovative Biochemicals in the EU Statu...
CLE Contribution on the Assessment of Innovative Biochemicals in the EU Statu...CLE Contribution on the Assessment of Innovative Biochemicals in the EU Statu...
CLE Contribution on the Assessment of Innovative Biochemicals in the EU Statu...OECD Environment
 
Additional Considerations for Pesticide Formulations Containing Microbial Pes...
Additional Considerations for Pesticide Formulations Containing Microbial Pes...Additional Considerations for Pesticide Formulations Containing Microbial Pes...
Additional Considerations for Pesticide Formulations Containing Microbial Pes...OECD Environment
 
Role of genome sequencing (WGS) in microbial biopesticides safety assessment ...
Role of genome sequencing (WGS) in microbial biopesticides safety assessment ...Role of genome sequencing (WGS) in microbial biopesticides safety assessment ...
Role of genome sequencing (WGS) in microbial biopesticides safety assessment ...OECD Environment
 
Considerations for Problem Formulation for Human Health Safety Assessments of...
Considerations for Problem Formulation for Human Health Safety Assessments of...Considerations for Problem Formulation for Human Health Safety Assessments of...
Considerations for Problem Formulation for Human Health Safety Assessments of...OECD Environment
 
How to Identify and Quantify Mixtures What is Essential to Know for Risk Asse...
How to Identify and Quantify Mixtures What is Essential to Know for Risk Asse...How to Identify and Quantify Mixtures What is Essential to Know for Risk Asse...
How to Identify and Quantify Mixtures What is Essential to Know for Risk Asse...OECD Environment
 
APVMA outcome-focussed approach to data requirements to support registration ...
APVMA outcome-focussed approach to data requirements to support registration ...APVMA outcome-focussed approach to data requirements to support registration ...
APVMA outcome-focussed approach to data requirements to support registration ...OECD Environment
 
The U.S. Perspective on Problem Formulation for Biopesticides: Shannon BORGES
The U.S. Perspective on Problem Formulation for Biopesticides: Shannon BORGESThe U.S. Perspective on Problem Formulation for Biopesticides: Shannon BORGES
The U.S. Perspective on Problem Formulation for Biopesticides: Shannon BORGESOECD Environment
 
Problem formulation for environmental risk assessment – Finnish case study: ...
Problem formulation for environmental risk assessment – Finnish case study:  ...Problem formulation for environmental risk assessment – Finnish case study:  ...
Problem formulation for environmental risk assessment – Finnish case study: ...OECD Environment
 
Problem formulation for environmental risk assessment in the context of EC Re...
Problem formulation for environmental risk assessment in the context of EC Re...Problem formulation for environmental risk assessment in the context of EC Re...
Problem formulation for environmental risk assessment in the context of EC Re...OECD Environment
 

More from OECD Environment (20)

Detlef Van Vuuren- Integrated modelling for interrelated crises.pdf
Detlef Van Vuuren- Integrated modelling for interrelated crises.pdfDetlef Van Vuuren- Integrated modelling for interrelated crises.pdf
Detlef Van Vuuren- Integrated modelling for interrelated crises.pdf
 
Thomas Hertel- Integrated Policies for the Triple Planetary Crisis.pdf
Thomas Hertel- Integrated Policies for the Triple Planetary Crisis.pdfThomas Hertel- Integrated Policies for the Triple Planetary Crisis.pdf
Thomas Hertel- Integrated Policies for the Triple Planetary Crisis.pdf
 
Jon Sampedro - Assessing synergies and trade offs for health and sustainable ...
Jon Sampedro - Assessing synergies and trade offs for health and sustainable ...Jon Sampedro - Assessing synergies and trade offs for health and sustainable ...
Jon Sampedro - Assessing synergies and trade offs for health and sustainable ...
 
Astrid Bos - Identifying trade offs & searching for synergies.pdf
Astrid Bos - Identifying trade offs & searching for synergies.pdfAstrid Bos - Identifying trade offs & searching for synergies.pdf
Astrid Bos - Identifying trade offs & searching for synergies.pdf
 
Ruth Delzeit - Modelling environmental and socio-economic impacts of cropland...
Ruth Delzeit - Modelling environmental and socio-economic impacts of cropland...Ruth Delzeit - Modelling environmental and socio-economic impacts of cropland...
Ruth Delzeit - Modelling environmental and socio-economic impacts of cropland...
 
Wilfried Winiwarter - Implementing nitrogen pollution control pathways in the...
Wilfried Winiwarter - Implementing nitrogen pollution control pathways in the...Wilfried Winiwarter - Implementing nitrogen pollution control pathways in the...
Wilfried Winiwarter - Implementing nitrogen pollution control pathways in the...
 
Laurent Drouet - Physical and Economic Risks of Climate Change.pdf
Laurent Drouet - Physical and Economic Risks of Climate Change.pdfLaurent Drouet - Physical and Economic Risks of Climate Change.pdf
Laurent Drouet - Physical and Economic Risks of Climate Change.pdf
 
Shinichiro Fujimori - Biodiversity modeling in AIM (Asia pacific Integrated M...
Shinichiro Fujimori - Biodiversity modeling in AIM (Asia pacific Integrated M...Shinichiro Fujimori - Biodiversity modeling in AIM (Asia pacific Integrated M...
Shinichiro Fujimori - Biodiversity modeling in AIM (Asia pacific Integrated M...
 
HyeJin Kim and Simon Smart - The biodiversity nexus across multiple drivers: ...
HyeJin Kim and Simon Smart - The biodiversity nexus across multiple drivers: ...HyeJin Kim and Simon Smart - The biodiversity nexus across multiple drivers: ...
HyeJin Kim and Simon Smart - The biodiversity nexus across multiple drivers: ...
 
GREEN Action Task Force - Full Presentations.pdf
GREEN Action Task Force - Full Presentations.pdfGREEN Action Task Force - Full Presentations.pdf
GREEN Action Task Force - Full Presentations.pdf
 
Case Study: Peptides-based Plant Protection Product (harpin proteins*) by Ros...
Case Study: Peptides-based Plant Protection Product (harpin proteins*) by Ros...Case Study: Peptides-based Plant Protection Product (harpin proteins*) by Ros...
Case Study: Peptides-based Plant Protection Product (harpin proteins*) by Ros...
 
CLE Contribution on the Assessment of Innovative Biochemicals in the EU Statu...
CLE Contribution on the Assessment of Innovative Biochemicals in the EU Statu...CLE Contribution on the Assessment of Innovative Biochemicals in the EU Statu...
CLE Contribution on the Assessment of Innovative Biochemicals in the EU Statu...
 
Additional Considerations for Pesticide Formulations Containing Microbial Pes...
Additional Considerations for Pesticide Formulations Containing Microbial Pes...Additional Considerations for Pesticide Formulations Containing Microbial Pes...
Additional Considerations for Pesticide Formulations Containing Microbial Pes...
 
Role of genome sequencing (WGS) in microbial biopesticides safety assessment ...
Role of genome sequencing (WGS) in microbial biopesticides safety assessment ...Role of genome sequencing (WGS) in microbial biopesticides safety assessment ...
Role of genome sequencing (WGS) in microbial biopesticides safety assessment ...
 
Considerations for Problem Formulation for Human Health Safety Assessments of...
Considerations for Problem Formulation for Human Health Safety Assessments of...Considerations for Problem Formulation for Human Health Safety Assessments of...
Considerations for Problem Formulation for Human Health Safety Assessments of...
 
How to Identify and Quantify Mixtures What is Essential to Know for Risk Asse...
How to Identify and Quantify Mixtures What is Essential to Know for Risk Asse...How to Identify and Quantify Mixtures What is Essential to Know for Risk Asse...
How to Identify and Quantify Mixtures What is Essential to Know for Risk Asse...
 
APVMA outcome-focussed approach to data requirements to support registration ...
APVMA outcome-focussed approach to data requirements to support registration ...APVMA outcome-focussed approach to data requirements to support registration ...
APVMA outcome-focussed approach to data requirements to support registration ...
 
The U.S. Perspective on Problem Formulation for Biopesticides: Shannon BORGES
The U.S. Perspective on Problem Formulation for Biopesticides: Shannon BORGESThe U.S. Perspective on Problem Formulation for Biopesticides: Shannon BORGES
The U.S. Perspective on Problem Formulation for Biopesticides: Shannon BORGES
 
Problem formulation for environmental risk assessment – Finnish case study: ...
Problem formulation for environmental risk assessment – Finnish case study:  ...Problem formulation for environmental risk assessment – Finnish case study:  ...
Problem formulation for environmental risk assessment – Finnish case study: ...
 
Problem formulation for environmental risk assessment in the context of EC Re...
Problem formulation for environmental risk assessment in the context of EC Re...Problem formulation for environmental risk assessment in the context of EC Re...
Problem formulation for environmental risk assessment in the context of EC Re...
 

Recently uploaded

Sensual Call Girls in Surajpur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
Sensual Call Girls in Surajpur { 9332606886 } VVIP NISHA Call Girls Near 5 St...Sensual Call Girls in Surajpur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
Sensual Call Girls in Surajpur { 9332606886 } VVIP NISHA Call Girls Near 5 St...kumargunjan9515
 
Your Budget Call Girls in Hassan 9332606886Call Girls Advance Cash On Delive...
Your Budget Call Girls in Hassan  9332606886Call Girls Advance Cash On Delive...Your Budget Call Girls in Hassan  9332606886Call Girls Advance Cash On Delive...
Your Budget Call Girls in Hassan 9332606886Call Girls Advance Cash On Delive...kumargunjan9515
 
Call Girls in Tiruppur 9332606886 ust Genuine Escort Model Sevice
Call Girls in Tiruppur  9332606886  ust Genuine Escort Model SeviceCall Girls in Tiruppur  9332606886  ust Genuine Escort Model Sevice
Call Girls in Tiruppur 9332606886 ust Genuine Escort Model Sevicekumargunjan9515
 
Call Girls Pimpri Chinchwad / 8250092165 Genuine Call girls with real Photos ...
Call Girls Pimpri Chinchwad / 8250092165 Genuine Call girls with real Photos ...Call Girls Pimpri Chinchwad / 8250092165 Genuine Call girls with real Photos ...
Call Girls Pimpri Chinchwad / 8250092165 Genuine Call girls with real Photos ...Sareena Khatun
 
Russian Escort Dubai 0503464457 Dubai Escorts
Russian Escort Dubai 0503464457 Dubai EscortsRussian Escort Dubai 0503464457 Dubai Escorts
Russian Escort Dubai 0503464457 Dubai EscortsMonica Sydney
 
Premium Call Girls Nashik Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi...
Premium Call Girls Nashik Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi...Premium Call Girls Nashik Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi...
Premium Call Girls Nashik Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi...vershagrag
 
Introduction to heat waves and Heatwaves in Bangladesh.pptx
Introduction to heat waves and Heatwaves in Bangladesh.pptxIntroduction to heat waves and Heatwaves in Bangladesh.pptx
Introduction to heat waves and Heatwaves in Bangladesh.pptxNazmusSakibNS
 
Yil Me Hu Spring 2024 - Nisqually Salmon Recovery Newsletter
Yil Me Hu Spring 2024 - Nisqually Salmon Recovery NewsletterYil Me Hu Spring 2024 - Nisqually Salmon Recovery Newsletter
Yil Me Hu Spring 2024 - Nisqually Salmon Recovery NewsletterNisqually River Council
 
Only Cash On Delivery Call Girls Service In Kanpur 🧿 6378878445 🧿 High Class...
Only Cash On Delivery Call Girls Service In Kanpur  🧿 6378878445 🧿 High Class...Only Cash On Delivery Call Girls Service In Kanpur  🧿 6378878445 🧿 High Class...
Only Cash On Delivery Call Girls Service In Kanpur 🧿 6378878445 🧿 High Class...vershagrag
 
Joka \ Call Girls Service Kolkata - 450+ Call Girl Cash Payment 8005736733 Ne...
Joka \ Call Girls Service Kolkata - 450+ Call Girl Cash Payment 8005736733 Ne...Joka \ Call Girls Service Kolkata - 450+ Call Girl Cash Payment 8005736733 Ne...
Joka \ Call Girls Service Kolkata - 450+ Call Girl Cash Payment 8005736733 Ne...HyderabadDolls
 
Top Call Girls in Dholpur { 9332606886 } VVIP NISHA Call Girls Near 5 Star Hotel
Top Call Girls in Dholpur { 9332606886 } VVIP NISHA Call Girls Near 5 Star HotelTop Call Girls in Dholpur { 9332606886 } VVIP NISHA Call Girls Near 5 Star Hotel
Top Call Girls in Dholpur { 9332606886 } VVIP NISHA Call Girls Near 5 Star Hotelkumargunjan9515
 
Call Girls in Kapadvanj - 8250092165 Our call girls are sure to provide you w...
Call Girls in Kapadvanj - 8250092165 Our call girls are sure to provide you w...Call Girls in Kapadvanj - 8250092165 Our call girls are sure to provide you w...
Call Girls in Kapadvanj - 8250092165 Our call girls are sure to provide you w...Sareena Khatun
 
Call Girl in Faridabad ₹7.5k Pick Up & Drop With Cash Payment #8168257667
Call Girl in Faridabad ₹7.5k Pick Up & Drop With Cash Payment #8168257667Call Girl in Faridabad ₹7.5k Pick Up & Drop With Cash Payment #8168257667
Call Girl in Faridabad ₹7.5k Pick Up & Drop With Cash Payment #8168257667Hyderabad Escorts Agency
 
Principle of erosion control- Introduction to contouring,strip cropping,conto...
Principle of erosion control- Introduction to contouring,strip cropping,conto...Principle of erosion control- Introduction to contouring,strip cropping,conto...
Principle of erosion control- Introduction to contouring,strip cropping,conto...ZAPPAC1
 
High Profile Call Girls Service in Udhampur 9332606886 High Profile Call G...
High Profile Call Girls Service in Udhampur   9332606886  High Profile Call G...High Profile Call Girls Service in Udhampur   9332606886  High Profile Call G...
High Profile Call Girls Service in Udhampur 9332606886 High Profile Call G...kumargunjan9515
 
Call Girl Service in Wardha 9332606886 HOT & SEXY Models beautiful and charm...
Call Girl Service in Wardha  9332606886 HOT & SEXY Models beautiful and charm...Call Girl Service in Wardha  9332606886 HOT & SEXY Models beautiful and charm...
Call Girl Service in Wardha 9332606886 HOT & SEXY Models beautiful and charm...Sareena Khatun
 
Russian Call girls in Dubai 0508644382 Dubai Call girls
Russian Call girls in Dubai 0508644382 Dubai Call girlsRussian Call girls in Dubai 0508644382 Dubai Call girls
Russian Call girls in Dubai 0508644382 Dubai Call girlsMonica Sydney
 

Recently uploaded (20)

Sensual Call Girls in Surajpur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
Sensual Call Girls in Surajpur { 9332606886 } VVIP NISHA Call Girls Near 5 St...Sensual Call Girls in Surajpur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
Sensual Call Girls in Surajpur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
 
Your Budget Call Girls in Hassan 9332606886Call Girls Advance Cash On Delive...
Your Budget Call Girls in Hassan  9332606886Call Girls Advance Cash On Delive...Your Budget Call Girls in Hassan  9332606886Call Girls Advance Cash On Delive...
Your Budget Call Girls in Hassan 9332606886Call Girls Advance Cash On Delive...
 
Call Girls in Tiruppur 9332606886 ust Genuine Escort Model Sevice
Call Girls in Tiruppur  9332606886  ust Genuine Escort Model SeviceCall Girls in Tiruppur  9332606886  ust Genuine Escort Model Sevice
Call Girls in Tiruppur 9332606886 ust Genuine Escort Model Sevice
 
Call Girls Pimpri Chinchwad / 8250092165 Genuine Call girls with real Photos ...
Call Girls Pimpri Chinchwad / 8250092165 Genuine Call girls with real Photos ...Call Girls Pimpri Chinchwad / 8250092165 Genuine Call girls with real Photos ...
Call Girls Pimpri Chinchwad / 8250092165 Genuine Call girls with real Photos ...
 
Russian Escort Dubai 0503464457 Dubai Escorts
Russian Escort Dubai 0503464457 Dubai EscortsRussian Escort Dubai 0503464457 Dubai Escorts
Russian Escort Dubai 0503464457 Dubai Escorts
 
Deforestation
DeforestationDeforestation
Deforestation
 
Premium Call Girls Nashik Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi...
Premium Call Girls Nashik Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi...Premium Call Girls Nashik Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi...
Premium Call Girls Nashik Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi...
 
Introduction to heat waves and Heatwaves in Bangladesh.pptx
Introduction to heat waves and Heatwaves in Bangladesh.pptxIntroduction to heat waves and Heatwaves in Bangladesh.pptx
Introduction to heat waves and Heatwaves in Bangladesh.pptx
 
Yil Me Hu Spring 2024 - Nisqually Salmon Recovery Newsletter
Yil Me Hu Spring 2024 - Nisqually Salmon Recovery NewsletterYil Me Hu Spring 2024 - Nisqually Salmon Recovery Newsletter
Yil Me Hu Spring 2024 - Nisqually Salmon Recovery Newsletter
 
Only Cash On Delivery Call Girls Service In Kanpur 🧿 6378878445 🧿 High Class...
Only Cash On Delivery Call Girls Service In Kanpur  🧿 6378878445 🧿 High Class...Only Cash On Delivery Call Girls Service In Kanpur  🧿 6378878445 🧿 High Class...
Only Cash On Delivery Call Girls Service In Kanpur 🧿 6378878445 🧿 High Class...
 
Joka \ Call Girls Service Kolkata - 450+ Call Girl Cash Payment 8005736733 Ne...
Joka \ Call Girls Service Kolkata - 450+ Call Girl Cash Payment 8005736733 Ne...Joka \ Call Girls Service Kolkata - 450+ Call Girl Cash Payment 8005736733 Ne...
Joka \ Call Girls Service Kolkata - 450+ Call Girl Cash Payment 8005736733 Ne...
 
Top Call Girls in Dholpur { 9332606886 } VVIP NISHA Call Girls Near 5 Star Hotel
Top Call Girls in Dholpur { 9332606886 } VVIP NISHA Call Girls Near 5 Star HotelTop Call Girls in Dholpur { 9332606886 } VVIP NISHA Call Girls Near 5 Star Hotel
Top Call Girls in Dholpur { 9332606886 } VVIP NISHA Call Girls Near 5 Star Hotel
 
Call Girls in Kapadvanj - 8250092165 Our call girls are sure to provide you w...
Call Girls in Kapadvanj - 8250092165 Our call girls are sure to provide you w...Call Girls in Kapadvanj - 8250092165 Our call girls are sure to provide you w...
Call Girls in Kapadvanj - 8250092165 Our call girls are sure to provide you w...
 
Jumping Scales and Producing peripheries.pptx
Jumping Scales and Producing peripheries.pptxJumping Scales and Producing peripheries.pptx
Jumping Scales and Producing peripheries.pptx
 
Call Girl in Faridabad ₹7.5k Pick Up & Drop With Cash Payment #8168257667
Call Girl in Faridabad ₹7.5k Pick Up & Drop With Cash Payment #8168257667Call Girl in Faridabad ₹7.5k Pick Up & Drop With Cash Payment #8168257667
Call Girl in Faridabad ₹7.5k Pick Up & Drop With Cash Payment #8168257667
 
Principle of erosion control- Introduction to contouring,strip cropping,conto...
Principle of erosion control- Introduction to contouring,strip cropping,conto...Principle of erosion control- Introduction to contouring,strip cropping,conto...
Principle of erosion control- Introduction to contouring,strip cropping,conto...
 
Climate Change
Climate ChangeClimate Change
Climate Change
 
High Profile Call Girls Service in Udhampur 9332606886 High Profile Call G...
High Profile Call Girls Service in Udhampur   9332606886  High Profile Call G...High Profile Call Girls Service in Udhampur   9332606886  High Profile Call G...
High Profile Call Girls Service in Udhampur 9332606886 High Profile Call G...
 
Call Girl Service in Wardha 9332606886 HOT & SEXY Models beautiful and charm...
Call Girl Service in Wardha  9332606886 HOT & SEXY Models beautiful and charm...Call Girl Service in Wardha  9332606886 HOT & SEXY Models beautiful and charm...
Call Girl Service in Wardha 9332606886 HOT & SEXY Models beautiful and charm...
 
Russian Call girls in Dubai 0508644382 Dubai Call girls
Russian Call girls in Dubai 0508644382 Dubai Call girlsRussian Call girls in Dubai 0508644382 Dubai Call girls
Russian Call girls in Dubai 0508644382 Dubai Call girls
 

Review of EFSA’s activities on the risk assessment of RNAi-based GM crops - Nikoletta Papadopoulou, European Food Safety Authority, EU

  • 1. EFSA’s activities on the risk assessment of RNAi-based GM crops Nikoletta Papadopoulou, Fernando Álvarez- Alfageme, Yann Devos, Anna Lanzoni, Matthew Ramon, Claudia Paoletti, Elisabeth Waigmann GMO Unit 11 April 2019
  • 2.  EFSA is responsible to perform a pre-market risk assessment (RA) of GMOs with regard to human and animal health and the environment  RA is performed by the GMO Panel, ad-hoc experts, and GMO Unit scientists  GM CROPS: soybean, maize, oilseed rape, cotton  MAJOR TRAITS (single or stacked): insect resistance and herbicide tolerance RISK ASSESSMENT OF GMO IN EUROPE
  • 3. RNAi technology application in GM plants: • is used for down-regulation of specific target genes in planta or in insect pests • dsRNA or artificial miRNA can be used to elicit a silencing response • Use of dsRNA more advanced for market applications RNAi IN GM PLANT APPLICATIONS
  • 4. 1. KEY OUTCOMES FROM EFSA WORKSHOP ON RNAI, 2014 2. EFSA PROCUREMENTS: MC (2017), ERA (2018), FF (2019) 3. GMO PANEL STRATEGY FOR ASSESSMENT OF RNAi OFF-TARGET ANALYSIS (2017) 4. EFSA SCIENTIFIC OPINION ON GM MAIZE RESISTANT TO WESTERN CORN ROOTWORM (WCR) (2018) REVIEW OF EFSA’S ACTIVITIES ON RA OF RNAi-BASED GM CROPS
  • 5. Risks and issues related to the 3 main areas of GMO risk assessment: Molecular characterisation (MC) Food and feed (FF) uses Environmental risk assessment (ERA) EFSA 2014 WORKSHOP ON RNAi AND RA REPORT: International scientific workshop ‘Risk assessment considerations for RNAi-based GM plants’ (4–5 June 2014, Brussels, Belgium). EFSA supporting publication 2014:EN-705, 38 pp.
  • 6. KEY MESSAGES FOR MC-1 Off-target effects in the RNAi based GM plant:  Bioinformatics useful to predict potential off-target effects on plant genes  NGS useful to map the composition of siRNA pools; but some technical limitations should be considered  siRNAs spread systemically in plants; dsRNA spread is unclear  RNA-dependent RNA polymerases (RdRP) amplify the siRNA signal in plants, facilitating systemic spread  Silencing effect throughout the plant should be considered even in tissue-specific expression of siRNA
  • 7. Processing of ingested RNAi molecules:  dsRNA produced in plants can be processed upon oral ingestion by some organisms (e.g. insects and worms)  Controversial views on the likelihood of intake and activity of mature miRNAs from plants in mammals and insects RNAi molecule intake, processing and mode-of-action may differ between different taxonomic groups review baseline information (Paces et al., 2017) KEY MESSAGES FOR MC-2
  • 8. Ingestion of RNAi-based GM plants by humans and livestock- Hazard identification/characterization: Uptake of ncRNAs molecules through intestinal barrier • low absorption of naked or formulated ncRNAs in feeding studies • Some evidence that dietary miRNAs are absorbed (controversial) Uptake of ncRNAs through the respiratory route • from pollen: too large for systemic exposure, contains low amounts of RNAi • No evidence of absorption of ncRNAs from the air by inhalation KEY MESSAGES FOR FF-1
  • 9. Ingestion of RNAi-based GM plants by humans and livestock- Hazard identification/characterization: • Target homology across species • Unintended (off-target) effects • Immune stimulation  Review of baseline information by Davalos et al. under finalization KEY MESSAGES FOR FF-2
  • 10. Considerations on the usefulness of animal studies for food/feed risk assessment based on:  Properties of dsRNA (absorption, stability, degradation)  Physical barriers  No evidence for toxicity of RNAi molecules after ingestion  not supported by scientific knowledge on dsRNA properties and mode of action KEY MESSAGES FOR FF-3
  • 11. Dietary intake of dsRNA • Key molecule ingested by arthropods • Uptake of 21nt siRNAs not observed in WCR midgut cells (Bolognesi et al., 2012) • Plant-derived siRNAs considered less relevant for arthropods than dsRNA  Multiple factors can affect RNAi efficiency in arthropods (reviewed by Christiaens et al. 2018) KEY MESSAGES FOR ERA-1
  • 12. • Any dsRNA or siRNA molecule with sufficient homology to an arthropod mRNA could trigger an off-target effect • Substantial overlap in 21 bp regions necessary to trigger an off- target effect, but some mismatches allowed  Bioinformatics data may provide supplementary information to predict off-target effects and support species selection for RA, but cannot at present replace toxicity studies KEY OUTCOMES FOR ERA-2 Off target effects on non-target arthropods of ingested RNAi- based GM material
  • 13. Considerations on Testing approach and Test Substance • Ecotoxicological studies: • dsRNA has been used as test material (e.g., Bachman et al., 2016), as mostly dsRNA is ingested by arthropods • Measurement endpoints and life stages Selection dependent on trait and target gene; sublethal effects should also be measured • NTO testing with in planta material, to capture unanticipated unintended effects  Tiered approach remains appropriate KEY OUTCOMES FOR ERA-3
  • 14.  Casacuberta JM, Devos Y, du Jardin P, Ramon M, Vaucheret H and Nogué F, 2015. Biotechnological uses of RNA interference in plants: Risk assessment considerations. Trends in Biotechnology, 33, 145– 147  Ramon M, Devos Y, Lanzoni A, Liu Y, Gomes A, Gennaro A and Waigmann E, 2014. RNAi-based GM plants: Food for thought for risk assessors. Plant Biotechnology Journal, 12, 1271–1273  Roberts AF, Devos Y, Lemgo GNY and Zhou X, 2015. Biosafety research for non-target organism risk assessment of RNAi-based GE plants. Frontiers in Plant Sciences, 6, 958 Food for thought for risk assessors
  • 15. Literature review of baseline information to support the RA of RNAi-based GM plants Molecular characterisation (Paces et al., 2017) Food and feed (FF) (Davalos et al., under finalization) Environmental risk assessment (ERA) (Christiaens et al., 2018) THREE EFSA PROCUREMENTS
  • 16.  Paces et al., 2017 summarized knowledge on MC RA related aspects: • Mode of action of dsRNA and miRNA pathways in animal and plants • Potential non-target gene regulation • siRNA pools in plant tissues and the siRNA silencing effect  Davalos et al. reviews information relevant to FF RA from ncRNA-based GM plants, focusing on: • Stability and degradation of ncRNAs after oral ingestion • Passage of ncRNAs from food to humans and animals via the gastrointestinal (GI) tract and other barriers, • Systemic or immune system effects OUTCOME OF THE LITERATURE REVIEW
  • 17.  Christiaens et al., 2018 reviewed the scientific information relevant to the ERA RA focusing on: • Oral ingestion and spread of RNAi in arthropods, nematodes, annelids and molluscs • Mechanisms of dsRNA-, siRNA- and miRNA-elicited gene silencing • Environmental fate of ncRNAs • Non-target effects and their mechanisms Bioinformatics data may provide supplementary information to predict off-target effects and support species selection for RA, but cannot at present replace toxicity studies OUTCOME OF THE LITERATURE REVIEW-ERA
  • 18. Internal note on the strategy and technical aspects for small RNA plant off-target bioinformatics studies (Annex II, Minutes of the 118th GMO Panel meeting) - considerations on:  the search algorithm parameters (e.g. complementarity mismatches)  the number of different small RNAs showing significant similarity to the same potential off target transcript  the established or predicted function of the potential off-targets that could impact on the safety of the GM plant and/or derived products as food/feed, or in the environment The search for small RNA off-targets in the GM plant could have value for the risk assessment of GM plants PREDICTION OF RNAi OFF-TARGET GENES IN PLANTS
  • 19. RA OF RNAi-BASED GM MAIZE Assessment of genetically modified maize MON 87411 for food and feed uses, import and processing, under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐NL‐2015‐124)  Resistance to western corn rootworms (Diabrotica spp.) by: I. the expression of a modified version of the Bacillus thuringiensis cry3Bb1 gene, and II. a DvSnf7 dsRNA expression cassette;  Tolerance to glyphosate‐containing herbicides by the expression of a cp4 epsps gene. 240nt long dsRNA used to down‐regulate the Snf7 gene transcript in WCR via RNAi, leading to pest mortality after consumption
  • 20. RA OF RNAi -BASED GM MAIZE MC  Assessment for off-target genes in plant;  Measure of DvSnf7 dsRNA levels in different tissues, not considered relevant for RA. FF  28-day tox study provided for maize MON 87411, not assessed: a) usefulness not scientifically justified; b) deviating from OECD TG 407. ERA  No/limited exposure of GM maize expected
  • 21. 1. Current framework for GMO RA (guidelines and regulatory data requirements) is sufficient for RA of RNAi-based GM plant RA. 2. Additional considerations on:  MC: Analysis of off-target effects in plant genes adds value to RA;  FF: Animal studies for assessment of dsRNA toxicity in FF RA is not justified based on current scientific knowledge;  ERA: dsRNA market applications exclude cultivation in Europe; if NT arthropods feed directly on dsRNA-expressing plants, or consumption of plant-fed herbivores is expected, further information for exposure assessment will be needed. CONCLUSIONS
  • 22. GMO Panel Experts GMO Unit colleagues:  Yann Devos  Anna Lanzoni  Matthew Ramon ACKNOWLEDGEMENTS
  • 23. Stay connected www.efsa.europa.eu/en/engage/careers www.efsa.europa.eu/en/rss Subscribe to Engage with careers Follow us on Twitter @efsa_eu @plants_efsa @methods_efsa www.efsa.europa.eu/en/news/newsletters