SlideShare une entreprise Scribd logo
1  sur  1
Télécharger pour lire hors ligne
Development of RT-PCR-based diagnostic technique for the
                         detection of Sweetpotato viruses
                                                                    Bett BB1,3*, Kathurima TM2, Miano DW1, Ndolo PJ1, Mwisa PN1 and Kim DJ2
                                       1Kenya       Agricultural Research Institute, P. O. Box 57811-00200, Nairobi. 2International Institute of Tropical Agriculture
                                                    at Biosciences eastern and central Africa (BecA) Hub, ILRI, P. O. Box 30709-00100, Nairobi; 3BecA Hub.

                                  Summary                                                               Outputs
Sweetpotato virus disease causes a 92% loss in farmers fields in Kenya. A •A diagnostic tool specific for sweetpotato viruses developed.
diagnostic test has been developed to identify the major viruses infecting •Clean and infected sweetpotato material identified.
sweetpotato. This is expected to have significant impacts in farmers’ fields.
                                                                                                                                                     •Ensures production of adequate healthy material for the
                                                                                                                                                     subsistence farmer.
                                                           Introduction
Sweetpotato is an important food security crop in Kenya grown by women mainly for household
consumption and as a source of family income. Its production however, is faced with biotic                                                                                                                             Results
constraints such as viral diseases which are the second most significant biotic constraint after the
sweetpotato weevil. The most prevalent viruses in Kenya are Sweet potato feathery mottle virus
                                                                                                                                                     The effectiveness of the designed primers tested on positive and negative sweetpotato
(SPFMV), Sweet potato chlorotic stunt virus (SPCSV), Sweet potato mild mottle virus                                                                  control samples amplified bands as displayed in Figure 2 below. Lanes 1 to 8 are
(SPMMV), Sweet potato chlorotic fleck virus (SPCFV), and Sweet potato caulimo-like virus                                                             positive samples while the subsequent lanes 1 to 4 are negative samples (for each
(SPCaLV). Sweet potato virus disease (SPVD) is caused by the dual infection with SPFMV and                                                           primer pair) according to NCM-ELISA results.
SPCSV and is the most damaging viral disease of sweetpotato in farmers’ fields in Kenya. A
92% loss in production of three commonly grown cultivars has been reported due to the disease.                                                                                                                                    B
Biotechnological interventions such as molecular-based diagnostic techniques, can ensure the                                                              A
production of virus-free planting material particularly tissue culture.




                                                                                                                                                          C                                                                       D

                               A
                                                                    B
 Fig. 1: Diagram of A) Healthy sweetpotato planting material and B) material infected with
                                      virus disease


                                                              Objectives
To develop a polymerase chain reaction (PCR)-based diagnostic technique to detect
sweetpotato viruses.                                                                                                                                 Fig. 2: PCR gels of A): SPFMV primers A and C (185 bp); E and F (275 bp) and
Specific objectives:                                                                                                                                 primer G and H (155 bp)
1.To design primers specific to sweetpotato viruses                                                                                                  B): SPMMV primers A and B2 (268 bp); A and B (217 bp); C and F (250 bp) and
2.To evaluate their effectiveness in detecting virus infections on positive and control samples.
                                                                                                                                                     primer C and D1 (125 bp)
                                                                                                                                                     C): SPCSV primers A and B (211 bp); C and D2 (211 bp); A2 and B2 (196 bp); A2
                                                                                                                                                     and B (166 bp) and primer C and D (167 bp)
                                                                                                                                                     D): SPCFV primers A1 and B1 (135 bp); E and B1 (268 bp); C and B1 (263 bp) and
                                                           Methodology                                                                               primer G and H (285 bp)
•Plant material: Sweetpotato cuttings of nine (9) farmer-preferred varieties were collected from
KARI Kakamega and serologically assayed for SPFMV, SPCSV, SPMMV, and SPCFV using
Nitro-cellulose membrane ELISA.                                                                                                                                                                                  Conclusions
•Primer design: A set of PCR Primers (forward and reverse) to detect the four viruses were                                                           •Two primer pairs were effective in testing for SPFMV and SPCFV and one
designed using the PrimerSelect software 7.0 and virus sequences deposited in the National                                                           pair for SPMMV and SPCSV.
Center for Biotechnology Information (NCBI) database. The selected virus sequences were
aligned using the Megalign software 7.0.                                                                                                             •These primers are recommended for effective utilization in the diagnostics
•Evaluation of primers: The designed primers were tested on positive and negative samples
                                                                                                                                                     of tissue-cultured sweetpotato material.
obtained from the NCM-ELISA results. RNA extractions, cDNA synthesis and a PCR was
carried out using the manufacturer’s instructions obtained from the Bioneer® kit. The PCR                                                            •This will ensure the production of clean disease-free planting material for
products were ran on a 2% Agarose gel electrophoresis at 120 V for 30 minutes and viewed
under a gel documentation system.
                                                                                                                                                     distribution to subsistence farmers within the region.

                                                                                                      Acknowledgement
 This work was funded by the International Fund for Agricultural Research (IFAR) through the International Institute for Tropical Agriculture (IITA). Authors thank Rob Skilton, Jagger Harvey and Joel Mutisya for their critical
                                                                                                 review and recommendation.

References
•Ateka EM, Njeru RW, Kibaru AG, Kimenju JW, Barg E, Gibson RW, Vetten HJ. (2004). Identification of viruses infecting sweetpotato in Kenya. Annals of Applied Biology, 144:371-379
•Carey EE, Mwanga ROM, Fuentes S, Kasule S, Macharia C, Gichuki ST, Gibson RW (1998). Sweetpotato viruses in Uganda and Kenya: Results of a survey. In: Procs. Sixth Triennial Symposium of the International Society of Tropical Root Crops-Africa Branch (ISTRC-AB), 22-28 October 1995, Lilongwe,
Malawi. p. 457-461.
•Geddes AMW. (1990). The relative importance of crop pests in sub-Saharan Africa. Natural Resources Institute Bulletin No. 36, Kent, UK, National Resources Institute. pp 69.
•Ndolo PJ, Mcharo T, Carey EE, Gichuki ST, Ndinya C, Maling’a J. (2001). Participatory on-farm selection of sweet potato varieties in Western Kenya. African Crop Science Journal, 9(1): 41-48.
•Njeru RW, Mburu MWK, Cheramgoi EC, Gibson RW, Kiburi ZM, Obodho E, Yobera D. (2004). Studies on the physiological effects of viruses on sweet potato yield in Kenya. Annals of Applied Biology, 145: 71-76.
•Qaim M. (1999). The Economic Effects of Genetically Modified Orphan Commodities: Projections for Sweetpotato in Kenya. ISAAA brief No. 13 – 1999. Ithaca: The International Science for the Acquisition of Agri-biotech Applications; Bonn: Center for Development Research.

Contenu connexe

En vedette

High performance thin layer chromatography
High performance thin layer chromatographyHigh performance thin layer chromatography
High performance thin layer chromatography
Sravani Ganti
 
Soil microbiology and cycles of the elements
Soil microbiology and cycles of the elementsSoil microbiology and cycles of the elements
Soil microbiology and cycles of the elements
Cara Molina
 

En vedette (19)

Application1
Application1Application1
Application1
 
Option B, UV/vis spectroscopy, Protein analysis, Gel electrophoresis and buff...
Option B, UV/vis spectroscopy, Protein analysis, Gel electrophoresis and buff...Option B, UV/vis spectroscopy, Protein analysis, Gel electrophoresis and buff...
Option B, UV/vis spectroscopy, Protein analysis, Gel electrophoresis and buff...
 
liquid chromatography-mass spectrometry
liquid chromatography-mass spectrometryliquid chromatography-mass spectrometry
liquid chromatography-mass spectrometry
 
Hptlc vs tlc
Hptlc vs tlcHptlc vs tlc
Hptlc vs tlc
 
PROTEIN ANALYSIS
PROTEIN ANALYSISPROTEIN ANALYSIS
PROTEIN ANALYSIS
 
Advantages of microbial biotransformation of bioactive compounds & microbial ...
Advantages of microbial biotransformation of bioactive compounds & microbial ...Advantages of microbial biotransformation of bioactive compounds & microbial ...
Advantages of microbial biotransformation of bioactive compounds & microbial ...
 
western blot analysis for protein
western blot analysis for proteinwestern blot analysis for protein
western blot analysis for protein
 
UV ray spectrophotometer
UV ray spectrophotometerUV ray spectrophotometer
UV ray spectrophotometer
 
High performance thin layer chromatography
High performance thin layer chromatographyHigh performance thin layer chromatography
High performance thin layer chromatography
 
Preparation and isolation of genomic
Preparation and isolation of genomicPreparation and isolation of genomic
Preparation and isolation of genomic
 
Dna Extraction Principles
Dna Extraction PrinciplesDna Extraction Principles
Dna Extraction Principles
 
Soil microbiology and cycles of the elements
Soil microbiology and cycles of the elementsSoil microbiology and cycles of the elements
Soil microbiology and cycles of the elements
 
Protein Detection Methods and Application
Protein Detection Methods and ApplicationProtein Detection Methods and Application
Protein Detection Methods and Application
 
Proximate analysis of Macro Nutrients
Proximate analysis of Macro NutrientsProximate analysis of Macro Nutrients
Proximate analysis of Macro Nutrients
 
Recombinant protein expression and purification Lecture
Recombinant protein expression and purification LectureRecombinant protein expression and purification Lecture
Recombinant protein expression and purification Lecture
 
Recombinant protein
Recombinant proteinRecombinant protein
Recombinant protein
 
Carbohydrates, Lipids and Proteins
Carbohydrates, Lipids and ProteinsCarbohydrates, Lipids and Proteins
Carbohydrates, Lipids and Proteins
 
Spectrophotometer
SpectrophotometerSpectrophotometer
Spectrophotometer
 
Soil microbiology
Soil microbiologySoil microbiology
Soil microbiology
 

Plus de ILRI

Plus de ILRI (20)

How the small-scale low biosecurity sector could be transformed into a more b...
How the small-scale low biosecurity sector could be transformed into a more b...How the small-scale low biosecurity sector could be transformed into a more b...
How the small-scale low biosecurity sector could be transformed into a more b...
 
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
 
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
 
A training, certification and marketing scheme for informal dairy vendors in ...
A training, certification and marketing scheme for informal dairy vendors in ...A training, certification and marketing scheme for informal dairy vendors in ...
A training, certification and marketing scheme for informal dairy vendors in ...
 
Milk safety and child nutrition impacts of the MoreMilk training, certificati...
Milk safety and child nutrition impacts of the MoreMilk training, certificati...Milk safety and child nutrition impacts of the MoreMilk training, certificati...
Milk safety and child nutrition impacts of the MoreMilk training, certificati...
 
Preventing the next pandemic: a 12-slide primer on emerging zoonotic diseases
Preventing the next pandemic: a 12-slide primer on emerging zoonotic diseasesPreventing the next pandemic: a 12-slide primer on emerging zoonotic diseases
Preventing the next pandemic: a 12-slide primer on emerging zoonotic diseases
 
Preventing preventable diseases: a 12-slide primer on foodborne disease
Preventing preventable diseases: a 12-slide primer on foodborne diseasePreventing preventable diseases: a 12-slide primer on foodborne disease
Preventing preventable diseases: a 12-slide primer on foodborne disease
 
Preventing a post-antibiotic era: a 12-slide primer on antimicrobial resistance
Preventing a post-antibiotic era: a 12-slide primer on antimicrobial resistancePreventing a post-antibiotic era: a 12-slide primer on antimicrobial resistance
Preventing a post-antibiotic era: a 12-slide primer on antimicrobial resistance
 
Food safety research in low- and middle-income countries
Food safety research in low- and middle-income countriesFood safety research in low- and middle-income countries
Food safety research in low- and middle-income countries
 
Food safety research LMIC
Food safety research LMICFood safety research LMIC
Food safety research LMIC
 
The application of One Health: Observations from eastern and southern Africa
The application of One Health: Observations from eastern and southern AfricaThe application of One Health: Observations from eastern and southern Africa
The application of One Health: Observations from eastern and southern Africa
 
One Health in action: Perspectives from 10 years in the field
One Health in action: Perspectives from 10 years in the fieldOne Health in action: Perspectives from 10 years in the field
One Health in action: Perspectives from 10 years in the field
 
Reservoirs of pathogenic Leptospira species in Uganda
Reservoirs of pathogenic Leptospira species in UgandaReservoirs of pathogenic Leptospira species in Uganda
Reservoirs of pathogenic Leptospira species in Uganda
 
Minyoo ya mbwa
Minyoo ya mbwaMinyoo ya mbwa
Minyoo ya mbwa
 
Parasites in dogs
Parasites in dogsParasites in dogs
Parasites in dogs
 
Assessing meat microbiological safety and associated handling practices in bu...
Assessing meat microbiological safety and associated handling practices in bu...Assessing meat microbiological safety and associated handling practices in bu...
Assessing meat microbiological safety and associated handling practices in bu...
 
Ecological factors associated with abundance and distribution of mosquito vec...
Ecological factors associated with abundance and distribution of mosquito vec...Ecological factors associated with abundance and distribution of mosquito vec...
Ecological factors associated with abundance and distribution of mosquito vec...
 
Livestock in the agrifood systems transformation
Livestock in the agrifood systems transformationLivestock in the agrifood systems transformation
Livestock in the agrifood systems transformation
 
Development of a fluorescent RBL reporter system for diagnosis of porcine cys...
Development of a fluorescent RBL reporter system for diagnosis of porcine cys...Development of a fluorescent RBL reporter system for diagnosis of porcine cys...
Development of a fluorescent RBL reporter system for diagnosis of porcine cys...
 
Practices and drivers of antibiotic use in Kenyan smallholder dairy farms
Practices and drivers of antibiotic use in Kenyan smallholder dairy farmsPractices and drivers of antibiotic use in Kenyan smallholder dairy farms
Practices and drivers of antibiotic use in Kenyan smallholder dairy farms
 

Dernier

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Dernier (20)

Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 

Development of RT-PCR-based diagnostic technique for the detection of Sweetpotato viruses

  • 1. Development of RT-PCR-based diagnostic technique for the detection of Sweetpotato viruses Bett BB1,3*, Kathurima TM2, Miano DW1, Ndolo PJ1, Mwisa PN1 and Kim DJ2 1Kenya Agricultural Research Institute, P. O. Box 57811-00200, Nairobi. 2International Institute of Tropical Agriculture at Biosciences eastern and central Africa (BecA) Hub, ILRI, P. O. Box 30709-00100, Nairobi; 3BecA Hub. Summary Outputs Sweetpotato virus disease causes a 92% loss in farmers fields in Kenya. A •A diagnostic tool specific for sweetpotato viruses developed. diagnostic test has been developed to identify the major viruses infecting •Clean and infected sweetpotato material identified. sweetpotato. This is expected to have significant impacts in farmers’ fields. •Ensures production of adequate healthy material for the subsistence farmer. Introduction Sweetpotato is an important food security crop in Kenya grown by women mainly for household consumption and as a source of family income. Its production however, is faced with biotic Results constraints such as viral diseases which are the second most significant biotic constraint after the sweetpotato weevil. The most prevalent viruses in Kenya are Sweet potato feathery mottle virus The effectiveness of the designed primers tested on positive and negative sweetpotato (SPFMV), Sweet potato chlorotic stunt virus (SPCSV), Sweet potato mild mottle virus control samples amplified bands as displayed in Figure 2 below. Lanes 1 to 8 are (SPMMV), Sweet potato chlorotic fleck virus (SPCFV), and Sweet potato caulimo-like virus positive samples while the subsequent lanes 1 to 4 are negative samples (for each (SPCaLV). Sweet potato virus disease (SPVD) is caused by the dual infection with SPFMV and primer pair) according to NCM-ELISA results. SPCSV and is the most damaging viral disease of sweetpotato in farmers’ fields in Kenya. A 92% loss in production of three commonly grown cultivars has been reported due to the disease. B Biotechnological interventions such as molecular-based diagnostic techniques, can ensure the A production of virus-free planting material particularly tissue culture. C D A B Fig. 1: Diagram of A) Healthy sweetpotato planting material and B) material infected with virus disease Objectives To develop a polymerase chain reaction (PCR)-based diagnostic technique to detect sweetpotato viruses. Fig. 2: PCR gels of A): SPFMV primers A and C (185 bp); E and F (275 bp) and Specific objectives: primer G and H (155 bp) 1.To design primers specific to sweetpotato viruses B): SPMMV primers A and B2 (268 bp); A and B (217 bp); C and F (250 bp) and 2.To evaluate their effectiveness in detecting virus infections on positive and control samples. primer C and D1 (125 bp) C): SPCSV primers A and B (211 bp); C and D2 (211 bp); A2 and B2 (196 bp); A2 and B (166 bp) and primer C and D (167 bp) D): SPCFV primers A1 and B1 (135 bp); E and B1 (268 bp); C and B1 (263 bp) and Methodology primer G and H (285 bp) •Plant material: Sweetpotato cuttings of nine (9) farmer-preferred varieties were collected from KARI Kakamega and serologically assayed for SPFMV, SPCSV, SPMMV, and SPCFV using Nitro-cellulose membrane ELISA. Conclusions •Primer design: A set of PCR Primers (forward and reverse) to detect the four viruses were •Two primer pairs were effective in testing for SPFMV and SPCFV and one designed using the PrimerSelect software 7.0 and virus sequences deposited in the National pair for SPMMV and SPCSV. Center for Biotechnology Information (NCBI) database. The selected virus sequences were aligned using the Megalign software 7.0. •These primers are recommended for effective utilization in the diagnostics •Evaluation of primers: The designed primers were tested on positive and negative samples of tissue-cultured sweetpotato material. obtained from the NCM-ELISA results. RNA extractions, cDNA synthesis and a PCR was carried out using the manufacturer’s instructions obtained from the Bioneer® kit. The PCR •This will ensure the production of clean disease-free planting material for products were ran on a 2% Agarose gel electrophoresis at 120 V for 30 minutes and viewed under a gel documentation system. distribution to subsistence farmers within the region. Acknowledgement This work was funded by the International Fund for Agricultural Research (IFAR) through the International Institute for Tropical Agriculture (IITA). Authors thank Rob Skilton, Jagger Harvey and Joel Mutisya for their critical review and recommendation. References •Ateka EM, Njeru RW, Kibaru AG, Kimenju JW, Barg E, Gibson RW, Vetten HJ. (2004). Identification of viruses infecting sweetpotato in Kenya. Annals of Applied Biology, 144:371-379 •Carey EE, Mwanga ROM, Fuentes S, Kasule S, Macharia C, Gichuki ST, Gibson RW (1998). Sweetpotato viruses in Uganda and Kenya: Results of a survey. In: Procs. Sixth Triennial Symposium of the International Society of Tropical Root Crops-Africa Branch (ISTRC-AB), 22-28 October 1995, Lilongwe, Malawi. p. 457-461. •Geddes AMW. (1990). The relative importance of crop pests in sub-Saharan Africa. Natural Resources Institute Bulletin No. 36, Kent, UK, National Resources Institute. pp 69. •Ndolo PJ, Mcharo T, Carey EE, Gichuki ST, Ndinya C, Maling’a J. (2001). Participatory on-farm selection of sweet potato varieties in Western Kenya. African Crop Science Journal, 9(1): 41-48. •Njeru RW, Mburu MWK, Cheramgoi EC, Gibson RW, Kiburi ZM, Obodho E, Yobera D. (2004). Studies on the physiological effects of viruses on sweet potato yield in Kenya. Annals of Applied Biology, 145: 71-76. •Qaim M. (1999). The Economic Effects of Genetically Modified Orphan Commodities: Projections for Sweetpotato in Kenya. ISAAA brief No. 13 – 1999. Ithaca: The International Science for the Acquisition of Agri-biotech Applications; Bonn: Center for Development Research.