SlideShare a Scribd company logo
1 of 38
1
Presented by :
Kanak Saxena
Roll No.-234
Guided by:
Dr (smt.) Rajani
Bisen
Advances in Cereal Genomics and its
application in crop improvement
CONTENTS
Introduction
Genomics
Need of Genomic research in cereal crops
Laboratories for Cereal Genomic Research in India
Genomics based approaches and techniques
Role of genomics in crop improvement
Achievements in Cereal Genomics
Case Study
Challenges in using genomics for breeding
Conclusion
References
(Genomics word was coined by Thomas Roderick in 1986.)
(Study of structure & function of entire genome of a living organism)
(Study of the structure of
entire genome of an organism)
(Study of the function of
entire genome of an organism)
GENOMICS
Structural Genomics Functional Genomics
Comparative Genomics
(Study of the relationship of genome structure and
function across different biological species or strains)
 1980 – DNA markers (RFLP)
 1983 – Karry Mullis invented the PCR technique, and Several
PCR based markers developed i.e. RAPD, AFLP, SSR, SNP,
CAPS, STS, SCAR, EST, etc..
 1986 – Leroy Hood and Lloyd Smith developed the first semi-
automatic DNA sequencer
 1990 – Development of Pyrosequencing by Pal Nyren
 1990 – The U.S. National Institutes of Health (NIH) begins large-
scale sequencing trials on Mycoplasma , Escherichia coli,
Caenorhabditis elegans, and Saccharomyces cerevisiae
 1995 – Craig Venter, Hamilton Smith at The Institute for
Genomic Research (TIGR) publish the first complete genome of a
free-living organism, the bacterium Haemophilus influenzae
 1996 – Sequence of saccharomyces cervisiae genome completed.
Nature Review, 2010 & Nature Biotechnology, 2001-2013
 1998 – The genome of the 1st multi-cellular organism of the Round worm
(Caenorhabditis elegans) was completed.
 1999 – Sequence of first human chromosome (chromosome 22nd)
 2000 – The first plant to be completely sequenced is that of the
Arabidopsis thaliana.
 2001 – A draft sequence of the human genome is published.
 2002 – Rice genome sequencing was completed
 2003 – Human genome sequencing was completed
 2004 – 454 Life Sciences markets a version of pyrosequencing machine
developed. ‘454 Sequencing’ used in Barley this machine reduced
sequencing costs 6-fold compared to automated Sanger sequencing
methods.
Recently,
 2012 – Wheat genome was sequenced – R. Brenchley et al.
 2012 –Barley genome was sequenced – RKV et al.
Nature Review, 2010 & Nature Biotechnology, 2001-2013
Genome size, structure and genomic resources of major
cereal species
Rajeev K. Varsney et al (2013)
CROP BOTANICAL NAME GENOME SIZE
(Mb)
RICE Oriza sativa 400
SORGHUM Sorghum bicolar 1000
MAIZE Zea mays 2500
BARLEY Hordeum vulgare 8000
BREAD
WHEAT
Ttriticum aestivum 16000
ESTIMATED GENOME SIZE OF MAJOR CEREAL CROPS
Rajeev K. Varsney et al (2013) Trends in biotechnology
Comparison of Rice with Cereal genomes
?
WHY
GENOMIC
S
?
 Through conventional breeding, selection for
crop improvement is carried out on phenotypic
character, which is the result of genotypic and
environmental effects but by the use of
molecular markers exact location of particular
gene on chromosome can easily be identified.
 Many potential genes that confer resistance
have been mapped in most of the economically
important cereal crops like Rice, Maize, Wheat,
Sorghum and Barley.
 QTLs identified and markers linked with the
promising QTLs are useful resource for
genomics assisted breeding. For ex. resistance
to heat tolerance in wheat.
11
 Presence of all of the important genes and related
markers will be very much helpful to identified
and development of new cultivars as we desire -
Varietal identification
 Insertion and deletions are desirable or undesirable,
easily be possible to identify with the sequencing
of cereal crops.
 Generated set of ESTs serves as a resource of high
quality transcripts for gene discovery and
development of markers associated with abiotic
stress tolerance that will be helpful to facilitate
cereal genomic breeding.
Laboratories for genomic research in India
National Research Centre for Plant Biotechnology, IARI, New
Delhi
International Centre for Genetic Engineering & Biotechnology,
New Delhi
Jawaharlal Nehru University , New Delhi
National Institute of Plant Genome Research, New Delhi
ICRISAT and DRR ,Hyderabad
International Institutes for Cereal Genomic Research
Genome Institutes/ Countries Involved
Rice Genome
Jointly Mapped By IRRI, USA, China, Japan
Scientist through International Rice Genome
Sequence Project.
Wheat Genome
International Genome Research on Wheat by
Mexico (CIMMYT), UK, USA & Japan
Arabidopsis Genome China, Japan, & USA
GENOMICS- BASED APPROACHES
Rajeev K. Varsney et al (2013)
Genomic
technologies
for high-
throughput
genome
sequencing
Diversity Panel
Zhu et al., (2008)
A holistic approach, where genomics technologies
including molecular markers, trasncriptomics,
metabolomics, proteomics and bioinformatics are
integrated with conventional breeding strategies for
breeding crop plants resistant/ tolerant to biotic and
abiotic stresses or improved for quality and yield.
3 Next generation sequencing (NGS) technologies
Include various novel sequencing technologies for example
454/FLX (Roche Inc.), ABI SOLID (Applied Biosystems),
Solexa (Illumina Inc.) etc. that have surpassed traditional Sanger
sequencing in throughput and in cost-effectiveness for generating
large-scale sequence data.
2 Genomic Assisted Breeding
Clone by clone sequencing also called as the directed
sequencing of the BAC contigs.
The chromosomes were mapped
Then split up into sections
A rough map was drawn for each of these sections
Then the sections themselves were split into smaller bits.
Each of these smaller bits would be sequenced.
(BAC clones (80-100 kb long DNA fragments ) arranged in contigs.)
4. CLONE BY CLONE SEQUENCING
In this approach, genomic DNA is cut into pieces
Inserted into BAC vectors
Transformed into E. coli where they are replicated
The BAC inserts are isolated
Mapped to determine the order of each cloned fragment.
Each BAC fragment in the Golden Path is fragmented randomly into smaller pieces
Each piece is cloned into a plasmid
Sequenced on both strands.
These sequences are aligned so that identical sequences are overlapping.
5. SHOTGUN SEQUENCING METHOD
This is referred
to as the Tiling
Path.
Moto Ashikarc et al., (2009)
 Several draft sequences of the rice genome are also available
and are being extensively used for study of other cereal
genomes
 Analyzing & comparing genetic material from different species
 Evolution, gene function, and inherited disease
 Understand the uniqueness between different species
HR- Highly repetitive
MR-Moderately repetitive
SL- Slow/ Low repetitive
GnSz – Genome sequence
SqCx- Sequence Complexity
Gupta, P. et al., (2009), PAU
ACHIEVEMENTS IN
CEREAL GENOMICS
Major QTLs responsible for yield
Gupta, P. et al., (2009), PAU
Major QTLs responsible for grain protein and enzyme activity
Gupta, P. et al., (2009), PAU
Case study
GENOTYPE Station trials Multilocation
evaluation
DBW 16, DBW 17, PBW 568 + Yr36/GpcB1 2009-10 2010-11
Advanced lines + Lr 34/Yr18 2009-10 2010-11
PBW 343 + Lr37/Yr17 2009-10 2010-11
HD 2733 + Lr37/Yr17 2009-10 2010-11
PBW 343+
Yr+Lr gene(s) from Ae. umbellulata
2010-11 2011-12
PBW 343 + Lr24+Lr28+Yr10+Yr15 2011-12 2012-13
PBW 343+KB resistance
+Yr40/Lr57
2011-12 2012-13
PBW 550, PBW 533 +Yr 10/Yr 15 2011-12 2012-13
Yield testing of Wheat MAS products
(4 rust resistant genes pyramided)
Pyramiding of Lr 24, Lr 28, Yr 10 and Yr 15 in PBW 343
Gupta, P. et al., (2009), PAU
OryzaSNP Project <http://www.oryzasnp.org>
IR64
IAC165
M202
Moroberkan
DomSufid
Cypress
Pokkali
Aswina
Swarna
IniaTocuari
Co 39 Patbyeo Gerdeh Dular Sadu-cho
SNP scan >100 Mb/genome
20 diverse genotypes
Zhu et al., (2009)
Bacterial blight xa5
Blast Pia, Pi9,Pita, Pizt
Tungro RTSV
Grain quality GBSS, Wx, SBE3, SSlla
Submergence
tolerance
Sub1
Zhu et al., (2009)
Variety :- Rice (Oriza sativa)
Scientist:- Igno Potrycus &
Peter Boyer.
Produce :- β-varotene
Precursor of Vit. A.
Golden rice was created by transforming rice with two beta-
carotene biosynthesis genes:
psy (phytoene synthase) from daffodil (Narcissus pseudonarcissus)
crtI (carotene desaturase) from the soil bacterium (Erwinia
uredovora)
30
Ye, Xi et al., (2000)
31
Original golden rice was called
SGR1
Application of candidate gene strategy to
identify CrtRB1 locus
Jiabing et al., (2014), Nature Genetics
GENETIC ENHANCEMENT OF NUTRITIONAL QUALITY OF
GRAIN SORGHUM
Genetically enhancing the nutritional quality of grain sorghum by
the introduction of genes encoding the methionine-rich maize beta-
zein and the lysine-rich barley chymotrypsin inhibitor CI-2 proteins.
The goal to produce transgenic sorghum plants with elevated lysine
and methionine contents.
A biolistic and Agrobacterium-mediated transformation protocol
for selected grain sorghum lines was established. This would form
the technological basis for nutritional quality improvement of grain
sorghum.
A Grootboom and M M O’Kennedy (2013)
VARIETIES DEVELOPED THROUGH GENOMIC TECHNOLOGIES
Varshney et al.,(2006)
Challenges in using genomics for breeding
 Precision phenotyping
 Density of genetic maps.
 Low heritability of traits.
 Contribution of regulatory variation
 Consideration of epistasis
 Technical skill
 Technical difficulties
 Cost investment issues
 Genomics based technologies is producing enormous amounts of
DNA sequence information that is opening up new experimental
opportunities for functional genomics analysis.
 The incorporation of metabolomic data and data from phenotype
studies will close the loop and create the foundation for advanced
knowledge.
 The recent integration of advances in molecular biology, transgenic
breeding and molecular marker applications with conventional plant
breeding practices has created the foundation for genomic research.
 Genomics will affect every aspect of cereal breeding and will
modernize this old science, although genomic approaches will not
succeed unless they are combined with traditional breeding
programs.
Some of References
Jiang Y, Cai Z, Xie W, Long T, Yu H, Zhang Q. 2012. Rice functional genomics
research: Progress and implications for crop genetic improvement. Biotechnology
Advances (30) 1059–1070.
Sasaki T, Wu J, Mizuno H, Antonio BA, and Matsumoto T. 2008. The Rice Genome
Sequence as an Indispensable Tool for Crop Improvement. Chapter 1.1,
Springer-Verlag Berlin Heidelberg.
Tyagi AK, Mohanty A. 2000. Rice transformation for crop improvement and functional
genomics. Plant Science (158) 1–18.
Cai Q, Yuan Z, Chen M, Yin C, Luo Z, Zhao X, Liang W, Hu J & Zhang D. 2014.
Jasmonic acid regulates spikelet development in rice. ISSN (online) 2041-
1723.
Varshney R.K., Thiel T., Stein N., Langridge P., Graner A. Cereal Genomics. Cell Mol
Biol Lett 2004; 7: 537-546
THANK YOU

More Related Content

What's hot

2015. Jesse Poland. Integration of physiological breeding and genomic selecti...
2015. Jesse Poland. Integration of physiological breeding and genomic selecti...2015. Jesse Poland. Integration of physiological breeding and genomic selecti...
2015. Jesse Poland. Integration of physiological breeding and genomic selecti...FOODCROPS
 
GRM 2013: Asian Maize Drought Tolerance (AMDROUT) Project -- BS Vivek
GRM 2013: Asian Maize Drought Tolerance (AMDROUT) Project -- BS VivekGRM 2013: Asian Maize Drought Tolerance (AMDROUT) Project -- BS Vivek
GRM 2013: Asian Maize Drought Tolerance (AMDROUT) Project -- BS VivekCGIAR Generation Challenge Programme
 
GRM 2013: Implementing MARS Project for drought tolerance and the Cassava Bre...
GRM 2013: Implementing MARS Project for drought tolerance and the Cassava Bre...GRM 2013: Implementing MARS Project for drought tolerance and the Cassava Bre...
GRM 2013: Implementing MARS Project for drought tolerance and the Cassava Bre...CGIAR Generation Challenge Programme
 
GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...
GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...
GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...CGIAR Generation Challenge Programme
 
Applications of genomics in plants
 Applications of genomics in plants Applications of genomics in plants
Applications of genomics in plantsUsman Arshad
 
Historical Genomics of US Maize: Domestication and Modern Breeding
Historical Genomics of US Maize: Domestication and Modern BreedingHistorical Genomics of US Maize: Domestication and Modern Breeding
Historical Genomics of US Maize: Domestication and Modern Breedingjrossibarra
 
Genomic and enabling technologies in maize breeding for enhanced genetic gain...
Genomic and enabling technologies in maize breeding for enhanced genetic gain...Genomic and enabling technologies in maize breeding for enhanced genetic gain...
Genomic and enabling technologies in maize breeding for enhanced genetic gain...CIMMYT
 
Application of genome editing in farm animals: Cattle - Alison Van Eenennaam
Application of genome editing  in farm animals: Cattle - Alison Van EenennaamApplication of genome editing  in farm animals: Cattle - Alison Van Eenennaam
Application of genome editing in farm animals: Cattle - Alison Van EenennaamOECD Environment
 
Molecular Cytogenetics Research Group Dec 2016 Pat Heslop-Harrison
Molecular Cytogenetics Research Group Dec 2016 Pat Heslop-HarrisonMolecular Cytogenetics Research Group Dec 2016 Pat Heslop-Harrison
Molecular Cytogenetics Research Group Dec 2016 Pat Heslop-HarrisonPat (JS) Heslop-Harrison
 
Advances in Genomics Research and Molecular Breeding in Dryland Crops through...
Advances in Genomics Research and Molecular Breeding in Dryland Crops through...Advances in Genomics Research and Molecular Breeding in Dryland Crops through...
Advances in Genomics Research and Molecular Breeding in Dryland Crops through...apaari
 
Seminar on Combining Traditional Mutagenesis with New High-Throughput Sequen...
 Seminar on Combining Traditional Mutagenesis with New High-Throughput Sequen... Seminar on Combining Traditional Mutagenesis with New High-Throughput Sequen...
Seminar on Combining Traditional Mutagenesis with New High-Throughput Sequen...surehuasb
 
GRM 2013: Improving phosphorus efficiency in sorghum by the identification an...
GRM 2013: Improving phosphorus efficiency in sorghum by the identification an...GRM 2013: Improving phosphorus efficiency in sorghum by the identification an...
GRM 2013: Improving phosphorus efficiency in sorghum by the identification an...CGIAR Generation Challenge Programme
 
2013 GRM: Improve chickpea productivity for marginal environments in sub-Sah...
2013 GRM: Improve chickpea productivity for marginal environments in  sub-Sah...2013 GRM: Improve chickpea productivity for marginal environments in  sub-Sah...
2013 GRM: Improve chickpea productivity for marginal environments in sub-Sah...CGIAR Generation Challenge Programme
 
An overview of agricultural applications of genome editing: Farm animals
An overview of agricultural applications of genome editing: Farm animals An overview of agricultural applications of genome editing: Farm animals
An overview of agricultural applications of genome editing: Farm animals OECD Environment
 
Evolutionary Genetics of Complex Genome
Evolutionary Genetics of Complex GenomeEvolutionary Genetics of Complex Genome
Evolutionary Genetics of Complex Genomejrossibarra
 
Accelerating crop genetic gains with genomic selection
Accelerating crop genetic gains with genomic selectionAccelerating crop genetic gains with genomic selection
Accelerating crop genetic gains with genomic selectionViolinaBharali
 
JGI: Genome size impacts on plant adaptation
JGI: Genome size impacts on plant adaptationJGI: Genome size impacts on plant adaptation
JGI: Genome size impacts on plant adaptationjrossibarra
 
Farm animals in aquatic systems - Anna Troedsson-Wargelius
Farm animals in aquatic systems - Anna Troedsson-WargeliusFarm animals in aquatic systems - Anna Troedsson-Wargelius
Farm animals in aquatic systems - Anna Troedsson-WargeliusOECD Environment
 
Evaluating fodder quality in sorghum RIL population under contrasting water r...
Evaluating fodder quality in sorghum RIL population under contrasting water r...Evaluating fodder quality in sorghum RIL population under contrasting water r...
Evaluating fodder quality in sorghum RIL population under contrasting water r...ICRISAT
 

What's hot (20)

2015. Jesse Poland. Integration of physiological breeding and genomic selecti...
2015. Jesse Poland. Integration of physiological breeding and genomic selecti...2015. Jesse Poland. Integration of physiological breeding and genomic selecti...
2015. Jesse Poland. Integration of physiological breeding and genomic selecti...
 
GRM 2013: Asian Maize Drought Tolerance (AMDROUT) Project -- BS Vivek
GRM 2013: Asian Maize Drought Tolerance (AMDROUT) Project -- BS VivekGRM 2013: Asian Maize Drought Tolerance (AMDROUT) Project -- BS Vivek
GRM 2013: Asian Maize Drought Tolerance (AMDROUT) Project -- BS Vivek
 
GRM 2013: Implementing MARS Project for drought tolerance and the Cassava Bre...
GRM 2013: Implementing MARS Project for drought tolerance and the Cassava Bre...GRM 2013: Implementing MARS Project for drought tolerance and the Cassava Bre...
GRM 2013: Implementing MARS Project for drought tolerance and the Cassava Bre...
 
GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...
GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...
GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...
 
TLI 2012: Bean breeding - Ethiopia
TLI 2012: Bean breeding - EthiopiaTLI 2012: Bean breeding - Ethiopia
TLI 2012: Bean breeding - Ethiopia
 
Applications of genomics in plants
 Applications of genomics in plants Applications of genomics in plants
Applications of genomics in plants
 
Historical Genomics of US Maize: Domestication and Modern Breeding
Historical Genomics of US Maize: Domestication and Modern BreedingHistorical Genomics of US Maize: Domestication and Modern Breeding
Historical Genomics of US Maize: Domestication and Modern Breeding
 
Genomic and enabling technologies in maize breeding for enhanced genetic gain...
Genomic and enabling technologies in maize breeding for enhanced genetic gain...Genomic and enabling technologies in maize breeding for enhanced genetic gain...
Genomic and enabling technologies in maize breeding for enhanced genetic gain...
 
Application of genome editing in farm animals: Cattle - Alison Van Eenennaam
Application of genome editing  in farm animals: Cattle - Alison Van EenennaamApplication of genome editing  in farm animals: Cattle - Alison Van Eenennaam
Application of genome editing in farm animals: Cattle - Alison Van Eenennaam
 
Molecular Cytogenetics Research Group Dec 2016 Pat Heslop-Harrison
Molecular Cytogenetics Research Group Dec 2016 Pat Heslop-HarrisonMolecular Cytogenetics Research Group Dec 2016 Pat Heslop-Harrison
Molecular Cytogenetics Research Group Dec 2016 Pat Heslop-Harrison
 
Advances in Genomics Research and Molecular Breeding in Dryland Crops through...
Advances in Genomics Research and Molecular Breeding in Dryland Crops through...Advances in Genomics Research and Molecular Breeding in Dryland Crops through...
Advances in Genomics Research and Molecular Breeding in Dryland Crops through...
 
Seminar on Combining Traditional Mutagenesis with New High-Throughput Sequen...
 Seminar on Combining Traditional Mutagenesis with New High-Throughput Sequen... Seminar on Combining Traditional Mutagenesis with New High-Throughput Sequen...
Seminar on Combining Traditional Mutagenesis with New High-Throughput Sequen...
 
GRM 2013: Improving phosphorus efficiency in sorghum by the identification an...
GRM 2013: Improving phosphorus efficiency in sorghum by the identification an...GRM 2013: Improving phosphorus efficiency in sorghum by the identification an...
GRM 2013: Improving phosphorus efficiency in sorghum by the identification an...
 
2013 GRM: Improve chickpea productivity for marginal environments in sub-Sah...
2013 GRM: Improve chickpea productivity for marginal environments in  sub-Sah...2013 GRM: Improve chickpea productivity for marginal environments in  sub-Sah...
2013 GRM: Improve chickpea productivity for marginal environments in sub-Sah...
 
An overview of agricultural applications of genome editing: Farm animals
An overview of agricultural applications of genome editing: Farm animals An overview of agricultural applications of genome editing: Farm animals
An overview of agricultural applications of genome editing: Farm animals
 
Evolutionary Genetics of Complex Genome
Evolutionary Genetics of Complex GenomeEvolutionary Genetics of Complex Genome
Evolutionary Genetics of Complex Genome
 
Accelerating crop genetic gains with genomic selection
Accelerating crop genetic gains with genomic selectionAccelerating crop genetic gains with genomic selection
Accelerating crop genetic gains with genomic selection
 
JGI: Genome size impacts on plant adaptation
JGI: Genome size impacts on plant adaptationJGI: Genome size impacts on plant adaptation
JGI: Genome size impacts on plant adaptation
 
Farm animals in aquatic systems - Anna Troedsson-Wargelius
Farm animals in aquatic systems - Anna Troedsson-WargeliusFarm animals in aquatic systems - Anna Troedsson-Wargelius
Farm animals in aquatic systems - Anna Troedsson-Wargelius
 
Evaluating fodder quality in sorghum RIL population under contrasting water r...
Evaluating fodder quality in sorghum RIL population under contrasting water r...Evaluating fodder quality in sorghum RIL population under contrasting water r...
Evaluating fodder quality in sorghum RIL population under contrasting water r...
 

Viewers also liked

Talk (in Dutch) for Stichting Voedselallergie 29oct2011
Talk (in Dutch) for Stichting Voedselallergie 29oct2011Talk (in Dutch) for Stichting Voedselallergie 29oct2011
Talk (in Dutch) for Stichting Voedselallergie 29oct2011Norwich Research Park
 
Mi rna part iii_2013
Mi rna part iii_2013Mi rna part iii_2013
Mi rna part iii_2013Elsa von Licy
 
Genomic Selection with Bayesian Generalized Linear Regression model using R
Genomic Selection with Bayesian Generalized Linear Regression model using RGenomic Selection with Bayesian Generalized Linear Regression model using R
Genomic Selection with Bayesian Generalized Linear Regression model using RAvjinder (Avi) Kaler
 
Tutorial for Estimating Broad and Narrow Sense Heritability using R
Tutorial for Estimating Broad and Narrow Sense Heritability using RTutorial for Estimating Broad and Narrow Sense Heritability using R
Tutorial for Estimating Broad and Narrow Sense Heritability using RAvjinder (Avi) Kaler
 
Central & West Asia and North Africa: Where Wheat Improvement Matters
Central & West Asia and North Africa:  Where Wheat Improvement MattersCentral & West Asia and North Africa:  Where Wheat Improvement Matters
Central & West Asia and North Africa: Where Wheat Improvement MattersCIMMYT
 
Applied genomic research in rice genetic improvement (2)
Applied genomic research in rice genetic improvement (2)Applied genomic research in rice genetic improvement (2)
Applied genomic research in rice genetic improvement (2)Lokesh Gour
 
Biotechnological Interventions for chickpea improvement by Kanak Saxena
Biotechnological Interventions for chickpea improvement by Kanak SaxenaBiotechnological Interventions for chickpea improvement by Kanak Saxena
Biotechnological Interventions for chickpea improvement by Kanak SaxenaDr. Kanak Saxena
 
Potential yields and yield gaps in wheat: the bases of wheat yield progress
Potential yields and yield gaps in wheat: the bases of wheat yield progressPotential yields and yield gaps in wheat: the bases of wheat yield progress
Potential yields and yield gaps in wheat: the bases of wheat yield progressCIMMYT
 
Association mapping
Association mapping Association mapping
Association mapping Preeti Kapoor
 
The wheat genome sequence: a foundation for accelerating improvment of bread ...
The wheat genome sequence: a foundation for accelerating improvment of bread ...The wheat genome sequence: a foundation for accelerating improvment of bread ...
The wheat genome sequence: a foundation for accelerating improvment of bread ...Borlaug Global Rust Initiative
 
Molecular basis of plant resistance to abiotic stresses like high temperature...
Molecular basis of plant resistance to abiotic stresses like high temperature...Molecular basis of plant resistance to abiotic stresses like high temperature...
Molecular basis of plant resistance to abiotic stresses like high temperature...Nazish_Nehal
 
Application of bioinformatics in climate smart horticulture
Application of bioinformatics in climate smart horticultureApplication of bioinformatics in climate smart horticulture
Application of bioinformatics in climate smart horticultureDr.Hetalkumar Panchal
 
Characteristics Improvement in Plant Breeding
Characteristics Improvement in Plant BreedingCharacteristics Improvement in Plant Breeding
Characteristics Improvement in Plant BreedingDev Hingra
 
Marker assisted whole genome selection in crop improvement
Marker assisted whole genome     selection in crop improvementMarker assisted whole genome     selection in crop improvement
Marker assisted whole genome selection in crop improvementSenthil Natesan
 
Genotyping by Sequencing
Genotyping by SequencingGenotyping by Sequencing
Genotyping by SequencingSenthil Natesan
 
Comparative genomics presentation
Comparative genomics presentationComparative genomics presentation
Comparative genomics presentationEmmanuel Aguon
 

Viewers also liked (20)

Talk (in Dutch) for Stichting Voedselallergie 29oct2011
Talk (in Dutch) for Stichting Voedselallergie 29oct2011Talk (in Dutch) for Stichting Voedselallergie 29oct2011
Talk (in Dutch) for Stichting Voedselallergie 29oct2011
 
Mi rna part iii_2013
Mi rna part iii_2013Mi rna part iii_2013
Mi rna part iii_2013
 
Comparative Genomics for Marker Development in Cassava
Comparative Genomics for Marker Development in CassavaComparative Genomics for Marker Development in Cassava
Comparative Genomics for Marker Development in Cassava
 
Genomic Selection with Bayesian Generalized Linear Regression model using R
Genomic Selection with Bayesian Generalized Linear Regression model using RGenomic Selection with Bayesian Generalized Linear Regression model using R
Genomic Selection with Bayesian Generalized Linear Regression model using R
 
Tutorial for Estimating Broad and Narrow Sense Heritability using R
Tutorial for Estimating Broad and Narrow Sense Heritability using RTutorial for Estimating Broad and Narrow Sense Heritability using R
Tutorial for Estimating Broad and Narrow Sense Heritability using R
 
Central & West Asia and North Africa: Where Wheat Improvement Matters
Central & West Asia and North Africa:  Where Wheat Improvement MattersCentral & West Asia and North Africa:  Where Wheat Improvement Matters
Central & West Asia and North Africa: Where Wheat Improvement Matters
 
Applied genomic research in rice genetic improvement (2)
Applied genomic research in rice genetic improvement (2)Applied genomic research in rice genetic improvement (2)
Applied genomic research in rice genetic improvement (2)
 
Biotechnological Interventions for chickpea improvement by Kanak Saxena
Biotechnological Interventions for chickpea improvement by Kanak SaxenaBiotechnological Interventions for chickpea improvement by Kanak Saxena
Biotechnological Interventions for chickpea improvement by Kanak Saxena
 
Unit 18a DNA fingerprinting and genetic engineering
Unit 18a DNA fingerprinting and genetic engineeringUnit 18a DNA fingerprinting and genetic engineering
Unit 18a DNA fingerprinting and genetic engineering
 
Potential yields and yield gaps in wheat: the bases of wheat yield progress
Potential yields and yield gaps in wheat: the bases of wheat yield progressPotential yields and yield gaps in wheat: the bases of wheat yield progress
Potential yields and yield gaps in wheat: the bases of wheat yield progress
 
Association mapping
Association mapping Association mapping
Association mapping
 
SNp mining in crops
SNp mining in cropsSNp mining in crops
SNp mining in crops
 
The wheat genome sequence: a foundation for accelerating improvment of bread ...
The wheat genome sequence: a foundation for accelerating improvment of bread ...The wheat genome sequence: a foundation for accelerating improvment of bread ...
The wheat genome sequence: a foundation for accelerating improvment of bread ...
 
Molecular basis of plant resistance to abiotic stresses like high temperature...
Molecular basis of plant resistance to abiotic stresses like high temperature...Molecular basis of plant resistance to abiotic stresses like high temperature...
Molecular basis of plant resistance to abiotic stresses like high temperature...
 
Application of bioinformatics in climate smart horticulture
Application of bioinformatics in climate smart horticultureApplication of bioinformatics in climate smart horticulture
Application of bioinformatics in climate smart horticulture
 
Characteristics Improvement in Plant Breeding
Characteristics Improvement in Plant BreedingCharacteristics Improvement in Plant Breeding
Characteristics Improvement in Plant Breeding
 
GWAS
GWASGWAS
GWAS
 
Marker assisted whole genome selection in crop improvement
Marker assisted whole genome     selection in crop improvementMarker assisted whole genome     selection in crop improvement
Marker assisted whole genome selection in crop improvement
 
Genotyping by Sequencing
Genotyping by SequencingGenotyping by Sequencing
Genotyping by Sequencing
 
Comparative genomics presentation
Comparative genomics presentationComparative genomics presentation
Comparative genomics presentation
 

Similar to Advances in Cereal genomics by Kanak Saxena

Cereals genomics and protiomics
Cereals genomics and protiomicsCereals genomics and protiomics
Cereals genomics and protiomicsUsman Arshad
 
Cassava at CIAT
Cassava at CIATCassava at CIAT
Cassava at CIATCIAT
 
Tropical maize genome: what do we know so far and how to use that information
Tropical maize genome: what do we know so far and how to use that informationTropical maize genome: what do we know so far and how to use that information
Tropical maize genome: what do we know so far and how to use that informationCIMMYT
 
Proteome bioinformatics and genetics for associating proteins with grain phen...
Proteome bioinformatics and genetics for associating proteins with grain phen...Proteome bioinformatics and genetics for associating proteins with grain phen...
Proteome bioinformatics and genetics for associating proteins with grain phen...CIMMYT
 
Genomic aided selection for crop improvement
Genomic aided selection for crop improvementGenomic aided selection for crop improvement
Genomic aided selection for crop improvementtanvic2
 
Divya doctoral reserch seminar
Divya doctoral reserch seminarDivya doctoral reserch seminar
Divya doctoral reserch seminarSHUATS
 
Allele mining in orphan underutilized crops
Allele mining in orphan underutilized cropsAllele mining in orphan underutilized crops
Allele mining in orphan underutilized cropsCCS HAU, HISAR
 
Genetic Analysis of Teosinte Alleles for Kernel Composition Traits in Maize
Genetic Analysis of Teosinte Alleles for Kernel Composition Traits in MaizeGenetic Analysis of Teosinte Alleles for Kernel Composition Traits in Maize
Genetic Analysis of Teosinte Alleles for Kernel Composition Traits in MaizeCornell University
 
Advances in plant breeding
Advances in plant breedingAdvances in plant breeding
Advances in plant breedingSHUATS
 
Advances in plant breeding converted
Advances in plant breeding convertedAdvances in plant breeding converted
Advances in plant breeding convertedSHUATS
 
Application of bioinformatics in agriculture sector
Application of bioinformatics in agriculture sectorApplication of bioinformatics in agriculture sector
Application of bioinformatics in agriculture sectorSuraj Singh
 
Irri job presentation 13092019 vivekanand tiwari
Irri job presentation 13092019 vivekanand tiwariIrri job presentation 13092019 vivekanand tiwari
Irri job presentation 13092019 vivekanand tiwariAbhishek Malpani
 
23. validation of molecular markers linked to sterility and fertility restore...
23. validation of molecular markers linked to sterility and fertility restore...23. validation of molecular markers linked to sterility and fertility restore...
23. validation of molecular markers linked to sterility and fertility restore...Vishwanath Koti
 
description about landraces there origin
description about landraces there origindescription about landraces there origin
description about landraces there originasifaslam76778
 
Crop wild relative utilization in plant breeding
Crop wild relative utilization in plant breedingCrop wild relative utilization in plant breeding
Crop wild relative utilization in plant breedingAbdul GHAFOOR
 

Similar to Advances in Cereal genomics by Kanak Saxena (20)

Cereals genomics and protiomics
Cereals genomics and protiomicsCereals genomics and protiomics
Cereals genomics and protiomics
 
Cassava at CIAT
Cassava at CIATCassava at CIAT
Cassava at CIAT
 
Tropical maize genome: what do we know so far and how to use that information
Tropical maize genome: what do we know so far and how to use that informationTropical maize genome: what do we know so far and how to use that information
Tropical maize genome: what do we know so far and how to use that information
 
Proteome bioinformatics and genetics for associating proteins with grain phen...
Proteome bioinformatics and genetics for associating proteins with grain phen...Proteome bioinformatics and genetics for associating proteins with grain phen...
Proteome bioinformatics and genetics for associating proteins with grain phen...
 
Genomic aided selection for crop improvement
Genomic aided selection for crop improvementGenomic aided selection for crop improvement
Genomic aided selection for crop improvement
 
Divya doctoral reserch seminar
Divya doctoral reserch seminarDivya doctoral reserch seminar
Divya doctoral reserch seminar
 
Developments in Oat Molecular Biology
Developments in Oat Molecular BiologyDevelopments in Oat Molecular Biology
Developments in Oat Molecular Biology
 
Allele mining in orphan underutilized crops
Allele mining in orphan underutilized cropsAllele mining in orphan underutilized crops
Allele mining in orphan underutilized crops
 
Pre breeding
Pre breedingPre breeding
Pre breeding
 
Pangenomics.pptx
Pangenomics.pptxPangenomics.pptx
Pangenomics.pptx
 
Genetic Analysis of Teosinte Alleles for Kernel Composition Traits in Maize
Genetic Analysis of Teosinte Alleles for Kernel Composition Traits in MaizeGenetic Analysis of Teosinte Alleles for Kernel Composition Traits in Maize
Genetic Analysis of Teosinte Alleles for Kernel Composition Traits in Maize
 
Advances in plant breeding
Advances in plant breedingAdvances in plant breeding
Advances in plant breeding
 
Advances in plant breeding converted
Advances in plant breeding convertedAdvances in plant breeding converted
Advances in plant breeding converted
 
Application of bioinformatics in agriculture sector
Application of bioinformatics in agriculture sectorApplication of bioinformatics in agriculture sector
Application of bioinformatics in agriculture sector
 
Omics in crop improvement
Omics in crop improvementOmics in crop improvement
Omics in crop improvement
 
Tilling seminar ajk final 2007 format
Tilling seminar ajk final 2007 formatTilling seminar ajk final 2007 format
Tilling seminar ajk final 2007 format
 
Irri job presentation 13092019 vivekanand tiwari
Irri job presentation 13092019 vivekanand tiwariIrri job presentation 13092019 vivekanand tiwari
Irri job presentation 13092019 vivekanand tiwari
 
23. validation of molecular markers linked to sterility and fertility restore...
23. validation of molecular markers linked to sterility and fertility restore...23. validation of molecular markers linked to sterility and fertility restore...
23. validation of molecular markers linked to sterility and fertility restore...
 
description about landraces there origin
description about landraces there origindescription about landraces there origin
description about landraces there origin
 
Crop wild relative utilization in plant breeding
Crop wild relative utilization in plant breedingCrop wild relative utilization in plant breeding
Crop wild relative utilization in plant breeding
 

Recently uploaded

4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptxmary850239
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYKayeClaireEstoconing
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4JOYLYNSAMANIEGO
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parentsnavabharathschool99
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfVanessa Camilleri
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4MiaBumagat1
 
Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)cama23
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Seán Kennedy
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)lakshayb543
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...Postal Advocate Inc.
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptxmary850239
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Celine George
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxAshokKarra1
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSJoshuaGantuangco2
 
Integumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptIntegumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptshraddhaparab530
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Celine George
 

Recently uploaded (20)

4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parents
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdf
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4
 
Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx
 
Raw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptxRaw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptx
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptx
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 
Integumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptIntegumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.ppt
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17
 

Advances in Cereal genomics by Kanak Saxena

  • 1. 1
  • 2. Presented by : Kanak Saxena Roll No.-234 Guided by: Dr (smt.) Rajani Bisen Advances in Cereal Genomics and its application in crop improvement
  • 3. CONTENTS Introduction Genomics Need of Genomic research in cereal crops Laboratories for Cereal Genomic Research in India Genomics based approaches and techniques Role of genomics in crop improvement Achievements in Cereal Genomics Case Study Challenges in using genomics for breeding Conclusion References
  • 4. (Genomics word was coined by Thomas Roderick in 1986.) (Study of structure & function of entire genome of a living organism) (Study of the structure of entire genome of an organism) (Study of the function of entire genome of an organism) GENOMICS Structural Genomics Functional Genomics Comparative Genomics (Study of the relationship of genome structure and function across different biological species or strains)
  • 5.  1980 – DNA markers (RFLP)  1983 – Karry Mullis invented the PCR technique, and Several PCR based markers developed i.e. RAPD, AFLP, SSR, SNP, CAPS, STS, SCAR, EST, etc..  1986 – Leroy Hood and Lloyd Smith developed the first semi- automatic DNA sequencer  1990 – Development of Pyrosequencing by Pal Nyren  1990 – The U.S. National Institutes of Health (NIH) begins large- scale sequencing trials on Mycoplasma , Escherichia coli, Caenorhabditis elegans, and Saccharomyces cerevisiae  1995 – Craig Venter, Hamilton Smith at The Institute for Genomic Research (TIGR) publish the first complete genome of a free-living organism, the bacterium Haemophilus influenzae  1996 – Sequence of saccharomyces cervisiae genome completed. Nature Review, 2010 & Nature Biotechnology, 2001-2013
  • 6.  1998 – The genome of the 1st multi-cellular organism of the Round worm (Caenorhabditis elegans) was completed.  1999 – Sequence of first human chromosome (chromosome 22nd)  2000 – The first plant to be completely sequenced is that of the Arabidopsis thaliana.  2001 – A draft sequence of the human genome is published.  2002 – Rice genome sequencing was completed  2003 – Human genome sequencing was completed  2004 – 454 Life Sciences markets a version of pyrosequencing machine developed. ‘454 Sequencing’ used in Barley this machine reduced sequencing costs 6-fold compared to automated Sanger sequencing methods. Recently,  2012 – Wheat genome was sequenced – R. Brenchley et al.  2012 –Barley genome was sequenced – RKV et al. Nature Review, 2010 & Nature Biotechnology, 2001-2013
  • 7. Genome size, structure and genomic resources of major cereal species Rajeev K. Varsney et al (2013)
  • 8. CROP BOTANICAL NAME GENOME SIZE (Mb) RICE Oriza sativa 400 SORGHUM Sorghum bicolar 1000 MAIZE Zea mays 2500 BARLEY Hordeum vulgare 8000 BREAD WHEAT Ttriticum aestivum 16000 ESTIMATED GENOME SIZE OF MAJOR CEREAL CROPS Rajeev K. Varsney et al (2013) Trends in biotechnology
  • 9. Comparison of Rice with Cereal genomes
  • 11.  Through conventional breeding, selection for crop improvement is carried out on phenotypic character, which is the result of genotypic and environmental effects but by the use of molecular markers exact location of particular gene on chromosome can easily be identified.  Many potential genes that confer resistance have been mapped in most of the economically important cereal crops like Rice, Maize, Wheat, Sorghum and Barley.  QTLs identified and markers linked with the promising QTLs are useful resource for genomics assisted breeding. For ex. resistance to heat tolerance in wheat. 11
  • 12.  Presence of all of the important genes and related markers will be very much helpful to identified and development of new cultivars as we desire - Varietal identification  Insertion and deletions are desirable or undesirable, easily be possible to identify with the sequencing of cereal crops.  Generated set of ESTs serves as a resource of high quality transcripts for gene discovery and development of markers associated with abiotic stress tolerance that will be helpful to facilitate cereal genomic breeding.
  • 13. Laboratories for genomic research in India National Research Centre for Plant Biotechnology, IARI, New Delhi International Centre for Genetic Engineering & Biotechnology, New Delhi Jawaharlal Nehru University , New Delhi National Institute of Plant Genome Research, New Delhi ICRISAT and DRR ,Hyderabad
  • 14. International Institutes for Cereal Genomic Research Genome Institutes/ Countries Involved Rice Genome Jointly Mapped By IRRI, USA, China, Japan Scientist through International Rice Genome Sequence Project. Wheat Genome International Genome Research on Wheat by Mexico (CIMMYT), UK, USA & Japan Arabidopsis Genome China, Japan, & USA
  • 15. GENOMICS- BASED APPROACHES Rajeev K. Varsney et al (2013)
  • 17. A holistic approach, where genomics technologies including molecular markers, trasncriptomics, metabolomics, proteomics and bioinformatics are integrated with conventional breeding strategies for breeding crop plants resistant/ tolerant to biotic and abiotic stresses or improved for quality and yield. 3 Next generation sequencing (NGS) technologies Include various novel sequencing technologies for example 454/FLX (Roche Inc.), ABI SOLID (Applied Biosystems), Solexa (Illumina Inc.) etc. that have surpassed traditional Sanger sequencing in throughput and in cost-effectiveness for generating large-scale sequence data. 2 Genomic Assisted Breeding
  • 18. Clone by clone sequencing also called as the directed sequencing of the BAC contigs. The chromosomes were mapped Then split up into sections A rough map was drawn for each of these sections Then the sections themselves were split into smaller bits. Each of these smaller bits would be sequenced. (BAC clones (80-100 kb long DNA fragments ) arranged in contigs.) 4. CLONE BY CLONE SEQUENCING
  • 19. In this approach, genomic DNA is cut into pieces Inserted into BAC vectors Transformed into E. coli where they are replicated The BAC inserts are isolated Mapped to determine the order of each cloned fragment. Each BAC fragment in the Golden Path is fragmented randomly into smaller pieces Each piece is cloned into a plasmid Sequenced on both strands. These sequences are aligned so that identical sequences are overlapping. 5. SHOTGUN SEQUENCING METHOD This is referred to as the Tiling Path.
  • 20. Moto Ashikarc et al., (2009)
  • 21.  Several draft sequences of the rice genome are also available and are being extensively used for study of other cereal genomes  Analyzing & comparing genetic material from different species  Evolution, gene function, and inherited disease  Understand the uniqueness between different species
  • 22. HR- Highly repetitive MR-Moderately repetitive SL- Slow/ Low repetitive GnSz – Genome sequence SqCx- Sequence Complexity Gupta, P. et al., (2009), PAU
  • 24. Major QTLs responsible for yield Gupta, P. et al., (2009), PAU
  • 25. Major QTLs responsible for grain protein and enzyme activity Gupta, P. et al., (2009), PAU
  • 27. GENOTYPE Station trials Multilocation evaluation DBW 16, DBW 17, PBW 568 + Yr36/GpcB1 2009-10 2010-11 Advanced lines + Lr 34/Yr18 2009-10 2010-11 PBW 343 + Lr37/Yr17 2009-10 2010-11 HD 2733 + Lr37/Yr17 2009-10 2010-11 PBW 343+ Yr+Lr gene(s) from Ae. umbellulata 2010-11 2011-12 PBW 343 + Lr24+Lr28+Yr10+Yr15 2011-12 2012-13 PBW 343+KB resistance +Yr40/Lr57 2011-12 2012-13 PBW 550, PBW 533 +Yr 10/Yr 15 2011-12 2012-13 Yield testing of Wheat MAS products (4 rust resistant genes pyramided) Pyramiding of Lr 24, Lr 28, Yr 10 and Yr 15 in PBW 343 Gupta, P. et al., (2009), PAU
  • 28. OryzaSNP Project <http://www.oryzasnp.org> IR64 IAC165 M202 Moroberkan DomSufid Cypress Pokkali Aswina Swarna IniaTocuari Co 39 Patbyeo Gerdeh Dular Sadu-cho SNP scan >100 Mb/genome 20 diverse genotypes Zhu et al., (2009)
  • 29. Bacterial blight xa5 Blast Pia, Pi9,Pita, Pizt Tungro RTSV Grain quality GBSS, Wx, SBE3, SSlla Submergence tolerance Sub1 Zhu et al., (2009)
  • 30. Variety :- Rice (Oriza sativa) Scientist:- Igno Potrycus & Peter Boyer. Produce :- β-varotene Precursor of Vit. A. Golden rice was created by transforming rice with two beta- carotene biosynthesis genes: psy (phytoene synthase) from daffodil (Narcissus pseudonarcissus) crtI (carotene desaturase) from the soil bacterium (Erwinia uredovora) 30 Ye, Xi et al., (2000)
  • 31. 31 Original golden rice was called SGR1
  • 32. Application of candidate gene strategy to identify CrtRB1 locus Jiabing et al., (2014), Nature Genetics
  • 33. GENETIC ENHANCEMENT OF NUTRITIONAL QUALITY OF GRAIN SORGHUM Genetically enhancing the nutritional quality of grain sorghum by the introduction of genes encoding the methionine-rich maize beta- zein and the lysine-rich barley chymotrypsin inhibitor CI-2 proteins. The goal to produce transgenic sorghum plants with elevated lysine and methionine contents. A biolistic and Agrobacterium-mediated transformation protocol for selected grain sorghum lines was established. This would form the technological basis for nutritional quality improvement of grain sorghum. A Grootboom and M M O’Kennedy (2013)
  • 34. VARIETIES DEVELOPED THROUGH GENOMIC TECHNOLOGIES Varshney et al.,(2006)
  • 35. Challenges in using genomics for breeding  Precision phenotyping  Density of genetic maps.  Low heritability of traits.  Contribution of regulatory variation  Consideration of epistasis  Technical skill  Technical difficulties  Cost investment issues
  • 36.  Genomics based technologies is producing enormous amounts of DNA sequence information that is opening up new experimental opportunities for functional genomics analysis.  The incorporation of metabolomic data and data from phenotype studies will close the loop and create the foundation for advanced knowledge.  The recent integration of advances in molecular biology, transgenic breeding and molecular marker applications with conventional plant breeding practices has created the foundation for genomic research.  Genomics will affect every aspect of cereal breeding and will modernize this old science, although genomic approaches will not succeed unless they are combined with traditional breeding programs.
  • 37. Some of References Jiang Y, Cai Z, Xie W, Long T, Yu H, Zhang Q. 2012. Rice functional genomics research: Progress and implications for crop genetic improvement. Biotechnology Advances (30) 1059–1070. Sasaki T, Wu J, Mizuno H, Antonio BA, and Matsumoto T. 2008. The Rice Genome Sequence as an Indispensable Tool for Crop Improvement. Chapter 1.1, Springer-Verlag Berlin Heidelberg. Tyagi AK, Mohanty A. 2000. Rice transformation for crop improvement and functional genomics. Plant Science (158) 1–18. Cai Q, Yuan Z, Chen M, Yin C, Luo Z, Zhao X, Liang W, Hu J & Zhang D. 2014. Jasmonic acid regulates spikelet development in rice. ISSN (online) 2041- 1723. Varshney R.K., Thiel T., Stein N., Langridge P., Graner A. Cereal Genomics. Cell Mol Biol Lett 2004; 7: 537-546