phenotyping in breeding programs for biotic stresses
TRANSCRIPT
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9 September 2015, Workshop on Implementation of IITA’s Genetic Improvement Strategy, IITA, Ibadan, Nigeria
Phenotyping in Breeding ProgramsBiotic Stresses
Lava Kumar et al.,
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TeamAbuelgasim Elzein (Microbiology / striga)Augusto Joao (Pathology)Danny Coyne (Nematology) Georg Goergen (Entomology) George Mahuku (Pathology)Harun Maruthi (Pathology)James Legg (Virology / vector entomology)Joseph Atehnkeng (Pathology) Lava Kumar (Virology / Germplasm health)Kolade Olufisayo (Phenotyping)Manu Tamu (Entomology)Maria Ayodele (Pathology)Ranajit Bandyopadhyay (Pathology)Rachid Hanna (Entomology)Crop breeders / GeneticistsNARS staff / Students
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1.Current status
2.What could/should be done
3.Opportunities
4.Resource requirements
5.Way forward
Outline
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MLND/MCMVFoC TR4
• Breeding for resistance is a major tactic to control pests and diseases of IITA ‘mandate’ crops
• Six crops; at least 40 different targets • Pre- and postharvest pests and pathogens • Fungi, Viruses, Bacteria and Phytoplasma• Insects, Acarids and Nematodes
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Crop Diseases Insects and acarids
Other
Cassava Mosaic, brown streak, bacterial blight, anthracnose, phytoplasma
Whitefly, mealy bug, green mite, root scales
Mycotoxins
Yam Mosaic, anthracnose, tuber rots Mealybugs beetles
Nematodes, mycotoxins
Banana and plantain
Bacterial wilt, Fusarium wilt, bunchy top, Sigatoka
Weevil, aphid Nematodes
Taro and cocoyam
Blight, mosaic
Cacao Phytophthora, swollen shoot Mirids, mealybug
Mycotoxins
*Potential future targets in italics
Phenotyping targets for biotic stresses:Vegetatively propagated crops
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Crop Diseases Insects and acarids
Other
Maize Streak, Lethal necrosis, gray leaf spot, ear rot, wilt, leaf rust, downy mildew, leaf blight
Stalk and corn borers, leafhopper, aphids, thrips
Striga, aflatoxins, fumonosins
Soybean Rust, mosaic, phytoplasma
Cowpea Bacterial blight, mosaic, wilt Maruca, aphid, thrips, weevils
Striga
*Potential future targets in italics
Phenotyping targets for biotic stresses:Vegetatively propagated crops
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Region-wise phenotyping
B = BananaC = CassavaCo = Cowpea M = Maize S = SoybeanY = Yam
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Plant microbe interactionsHost responseGene regulationGenes
Phenotyping approaches
Vector biologySurvival and spreadEnvironmental factors
Biochemical, molecular & biological Properties Bioassays
Serological &Nucleic-acid assays
Pathogen / Pest
Biology, ecology and diversity assessment
Establishment of isolatesIdentification of
environments/locations
Diagnostic tools
Germplasm screening
Transgenics Conventional / MAS Breeding
Variety development, trait discovery & mechanisms of host response
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Phenotyping approaches
Genotype assessment
Infection rate (incidence)
Disease / damage severity (assessed using quantitative scale)
Single time point assessment
Multiple assessment over a period of time (means / AUDPC)
Often visual (manual)
Sometimes digital imaging used
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Measurement of total surface area
-Measurement of non-infected area
(All tuber surface area– non-infected area)/All tuber surface area= Infected area
Infection area 41.9%
Modification for reading labels with OCR
Fortunus Kapinga (PhD student)
Phenotyping approaches
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• Virulence variation in pathogen populations within the region and across the regions• Soybean rust (Phakopsora pachyrhiz)• Yam anthracnose • Cassava mosaic begomoviruses
Phenotyping approaches
• Type isolates are being used to the extent possible or location specific evaluation
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CMD: Caused by a complex of 9 species either alone or in mixed infection• African cassava mosaic virus (ACMV) • East African cassava mosaic virus (EACMV)• South African cassava mosaic virus (SACMV) • EACMV-Cameroon, EACMV-Malawi, EACMV-Kenya, EACMV-Zanzibar EACMV-Uganda (Recombinant virus)
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Phenotyping approaches
We don’t see a lot Understanding underlying mechanisms is vital to improve precession and accuracy of selection, especially to move towards MAS, GS, etc
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(A), AR40-6 (B), Kibaha (C), NDL06/132, Kiroba (E), Albert (F) and non-template control (G).
Relative titers of CBSVs in cassava
CBSV UCBSV
What we could / should do better
Source: Kwasei et al.
Pathogen – host interactions
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What we could / should do better
Gene regulation in resistance / susceptible response
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• Modernizing phenotyping methods• Introduction of digital tool (non-invasive methods)• Spectral imaging
• Benchmark sites • Annual (season) incidence and severity; and weather data• Long term data collection; can help climate change studies
• Meta data analysis• Data from field books on pests and diseases can be utilized
•Harmonization of definitions and scoring scales
What we could / should do better
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• Moving targets• Pathogen/pest shifts• Emergence of new pathogens
• Maintenance of isolates / diagnostic tools• Recurring cost (depleting funding)• Vulnerability of conservation facility• Temperature fluctuations / maintenance problems
• Sub-optimal facilities • Poor screen houses• Lack of environmental control chambers• Misting screen house for bacteria and fungi inoculations
• Insufficient funding • Depletion of W1 and W2• W3 funding is specific and linked to critical problems• Future CRP operational model is similar to W3
• Staff• Thinly stretched • Affects throughput
Challenges
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• Insufficient facilities for phenotyping in Central and Southern Africa
Challenges
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Way forwardPhenotyping – genotyping pipeline
TranscriptomeGenome & Proteome
Metabolome
PhenomeDatabase
Trait diversity Resistant varieties Mechanisms Tools
Trait-specific markers / modeling tools for genomic selection /
GWAS / QTLs / Genes / MAS / Breeding
Om
ics applications &
breeding
Striga
Cassava
Maize
Banana & Plantain
Taro & Cocoyam
Cowpea & wild Vigna
Soybean
Yam
Oomycetes
Nematodes
BacteriaInsects & acarids
Fungi
Mycotoxins
Phytoplasma
PathogensVirus
Germplasm collections /Breeding lines / Transgenic lines
Controlled infections /
Multienvironmental testing
Type isolates for phenotyping
Assays, tools and protocols for
phenotyping and data acquisition
Data storage and analysis
Cacao
Phenotyping for biotic stresses
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Partnerships
Existing NARSUniversities CGIAR centres ARIs Private sector
Potential UK National Plant Phenomics CentreEPPN: European Plant Phenomics NetworkPrivate sector & Other
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Acknowledgments
GENEBANKS