This document summarizes research exploring phenotypic and genetic diversity in peach. Over 1580 accessions were studied across multiple locations in Europe and China. Phenotypic data was collected over several years and correlated between locations. Genetic analysis using a 9K SNP chip identified 473 clones and grouped accessions into occidental breeding, occidental non-breeding, oriental, and admixed categories. Genome-wide association studies identified major genes and QTLs associated with traits like acidity, melting behavior, and fruit flesh color.
Contribution of genome-wide association studies to scientific research: a pra...Mutiple Sclerosis
Vito A. G. Ricigliano, Renato Umeton, Lorenzo Germinario, Eleonora Alma, Martina Briani, Noemi Di Segni, Dalma Montesanti, Giorgia Pierelli, Fabiana Cancrini, Cristiano Lomonaco, Francesca Grassi, Gabriella Palmieri, and Marco Salvetti,
Struan Frederick Airth Grant, Editor
The factual value of genome-wide association studies (GWAS) for the understanding of multifactorial diseases is a matter of intense debate. Practical consequences for the development of more effective therapies do not seem to be around the corner. Here we propose a pragmatic and objective evaluation of how much new biology is arising from these studies, with particular attention to the information that can help prioritize therapeutic targets. We chose multiple sclerosis (MS) as a paradigm disease and assumed that, in pre-GWAS candidate-gene studies, the knowledge behind the choice of each gene reflected the understanding of the disease prior to the advent of GWAS. Importantly, this knowledge was based mainly on non-genetic, phenotypic grounds. We performed single-gene and pathway-oriented comparisons of old and new knowledge in MS by confronting an unbiased list of candidate genes in pre-GWAS association studies with those genes exceeding the genome-wide significance threshold in GWAS published from 2007 on. At the single gene level, the majority (94 out of 125) of GWAS-discovered variants had never been contemplated as plausible candidates in pre-GWAS association studies. The 31 genes that were present in both pre- and post-GWAS lists may be of particular interest in that they represent disease-associated variants whose pathogenetic relevance is supported at the phenotypic level (i.e. the phenotypic information that steered their selection as candidate genes in pre-GWAS association studies). As such they represent attractive therapeutic targets. Interestingly, our analysis shows that some of these variants are targets of pharmacologically active compounds, including drugs that are already registered for human use. Compared with the above single-gene analysis, at the pathway level GWAS results appear more coherent with previous knowledge, reinforcing some of the current views on MS pathogenesis and related therapeutic research. This study presents a pragmatic approach that helps interpret and exploit GWAS knowledge.
Professor Michael Levin's presentation at Meningitis Research Foundation's 2013 conference Meningitis & Septicaemia in Children & Adults www.meningitis.org/conference2013
It is widely agreed that complex diseases are typically caused by joint effects of multiple genetic variations, rather than a single genetic variation. Multi-SNP interactions, also known as epistatic interactions, have the potential to provide information about causes of complex diseases, and build on GWAS studies that look at associations between single SNPs and phenotypes. However, epistatic analysis methods are both computationally expensive, and have limited accessibility for biologists wanting to analyse GWAS datasets due to being command line based. Here we present APPistatic, a prototype desktop version of a pipeline for epistatic analysis of GWAS datasets. his application combines ease-of-use, via a GUI, with accelerated implementation of BOOST and FaST-LMM epistatic analysis methods.
Contribution of genome-wide association studies to scientific research: a pra...Mutiple Sclerosis
Vito A. G. Ricigliano, Renato Umeton, Lorenzo Germinario, Eleonora Alma, Martina Briani, Noemi Di Segni, Dalma Montesanti, Giorgia Pierelli, Fabiana Cancrini, Cristiano Lomonaco, Francesca Grassi, Gabriella Palmieri, and Marco Salvetti,
Struan Frederick Airth Grant, Editor
The factual value of genome-wide association studies (GWAS) for the understanding of multifactorial diseases is a matter of intense debate. Practical consequences for the development of more effective therapies do not seem to be around the corner. Here we propose a pragmatic and objective evaluation of how much new biology is arising from these studies, with particular attention to the information that can help prioritize therapeutic targets. We chose multiple sclerosis (MS) as a paradigm disease and assumed that, in pre-GWAS candidate-gene studies, the knowledge behind the choice of each gene reflected the understanding of the disease prior to the advent of GWAS. Importantly, this knowledge was based mainly on non-genetic, phenotypic grounds. We performed single-gene and pathway-oriented comparisons of old and new knowledge in MS by confronting an unbiased list of candidate genes in pre-GWAS association studies with those genes exceeding the genome-wide significance threshold in GWAS published from 2007 on. At the single gene level, the majority (94 out of 125) of GWAS-discovered variants had never been contemplated as plausible candidates in pre-GWAS association studies. The 31 genes that were present in both pre- and post-GWAS lists may be of particular interest in that they represent disease-associated variants whose pathogenetic relevance is supported at the phenotypic level (i.e. the phenotypic information that steered their selection as candidate genes in pre-GWAS association studies). As such they represent attractive therapeutic targets. Interestingly, our analysis shows that some of these variants are targets of pharmacologically active compounds, including drugs that are already registered for human use. Compared with the above single-gene analysis, at the pathway level GWAS results appear more coherent with previous knowledge, reinforcing some of the current views on MS pathogenesis and related therapeutic research. This study presents a pragmatic approach that helps interpret and exploit GWAS knowledge.
Professor Michael Levin's presentation at Meningitis Research Foundation's 2013 conference Meningitis & Septicaemia in Children & Adults www.meningitis.org/conference2013
It is widely agreed that complex diseases are typically caused by joint effects of multiple genetic variations, rather than a single genetic variation. Multi-SNP interactions, also known as epistatic interactions, have the potential to provide information about causes of complex diseases, and build on GWAS studies that look at associations between single SNPs and phenotypes. However, epistatic analysis methods are both computationally expensive, and have limited accessibility for biologists wanting to analyse GWAS datasets due to being command line based. Here we present APPistatic, a prototype desktop version of a pipeline for epistatic analysis of GWAS datasets. his application combines ease-of-use, via a GUI, with accelerated implementation of BOOST and FaST-LMM epistatic analysis methods.
The slides of the talk of @PhilippBayer and I gave on the 28th Chaos Communication Congress. Sources can be found here: https://github.com/drsnuggles/opensnp28c3
A lecture for UW EPI 519 providing background for genome-wide association studies, a few examples of recent papers in the CVD GWAS literature, and some lessons and new directions. The talk was originally given in 2008 (in collaboration with a colleagure), this version has been updated slightly for 2010 and includes references for further reading.
Some of the typefaces may have been mangled on conversion; the file download should be more reliable.
Introduction to association mapping and tutorial using tasselAwais Khan
This presentation introduces association mapping/linkage disequilibrium mapping and also includes a tutorial showing association mapping analysis using TASSEL software.
Genome-wide association study (GWAS) technology has been a primary method for identifying the genes responsible for diseases and other traits for the past ten years. GWAS continues to be highly relevant as a scientific method. Over 2,000 human GWAS reports now appear in scientific journals. Our free eBook aims to explain the basic steps and concepts to complete a GWAS experiment.
We are excited to announce and demonstrate some new and highly requested features in this webcast, including predicting phenotypes by applying existing GBLUP or Bayesian models and meta-analysis for GWAS studies.
GWA studies are perhaps most often used for studying the genetic basis of human diseases, but this technology also has great utility for studying the natural variation of other organisms.
In this webcast, Ashley Hintz, Field Application Scientist, will discuss the utility of SVS for analyzing plant GWA data, using publicly available SNP data for Arabidopsis thaliana as a case study. Along the way, Ashley will demonstrate how SVS can be used to manage data, analyze population structure, perform genotype QA and ultimately replicate a published genetic association in A. thaliana using EMMAX regression. She will also address the flexibility of SVS for analyzing the genomes of other plant and animal species.
Genome-wide association studies (GWAS) have been providing valuable insight to the genetics of common and complex diseases for many years. In this webcast we will walk through one possible workflow for completing GWAS in Golden Helix SNP & Variation Suite (SVS) with special attention paid to adjusting analysis for population stratification.
Will Potato Growers be Allowed to Benefit from New Technology? Kevin Folta
This presentation was delivered at the Keystone Potato Producers Association Potato Days in Brandon, MB, in January of 2016. The presentation introduces the audience to the problem of a lack of communication from growers, and although new technology seeks to improve profitable and sustainable farming, there are barriers to acceptance. Potato growers are key in that equation, and using effective tools in communication is the way to find acceptance of scientific messages.
The slides of the talk of @PhilippBayer and I gave on the 28th Chaos Communication Congress. Sources can be found here: https://github.com/drsnuggles/opensnp28c3
A lecture for UW EPI 519 providing background for genome-wide association studies, a few examples of recent papers in the CVD GWAS literature, and some lessons and new directions. The talk was originally given in 2008 (in collaboration with a colleagure), this version has been updated slightly for 2010 and includes references for further reading.
Some of the typefaces may have been mangled on conversion; the file download should be more reliable.
Introduction to association mapping and tutorial using tasselAwais Khan
This presentation introduces association mapping/linkage disequilibrium mapping and also includes a tutorial showing association mapping analysis using TASSEL software.
Genome-wide association study (GWAS) technology has been a primary method for identifying the genes responsible for diseases and other traits for the past ten years. GWAS continues to be highly relevant as a scientific method. Over 2,000 human GWAS reports now appear in scientific journals. Our free eBook aims to explain the basic steps and concepts to complete a GWAS experiment.
We are excited to announce and demonstrate some new and highly requested features in this webcast, including predicting phenotypes by applying existing GBLUP or Bayesian models and meta-analysis for GWAS studies.
GWA studies are perhaps most often used for studying the genetic basis of human diseases, but this technology also has great utility for studying the natural variation of other organisms.
In this webcast, Ashley Hintz, Field Application Scientist, will discuss the utility of SVS for analyzing plant GWA data, using publicly available SNP data for Arabidopsis thaliana as a case study. Along the way, Ashley will demonstrate how SVS can be used to manage data, analyze population structure, perform genotype QA and ultimately replicate a published genetic association in A. thaliana using EMMAX regression. She will also address the flexibility of SVS for analyzing the genomes of other plant and animal species.
Genome-wide association studies (GWAS) have been providing valuable insight to the genetics of common and complex diseases for many years. In this webcast we will walk through one possible workflow for completing GWAS in Golden Helix SNP & Variation Suite (SVS) with special attention paid to adjusting analysis for population stratification.
Will Potato Growers be Allowed to Benefit from New Technology? Kevin Folta
This presentation was delivered at the Keystone Potato Producers Association Potato Days in Brandon, MB, in January of 2016. The presentation introduces the audience to the problem of a lack of communication from growers, and although new technology seeks to improve profitable and sustainable farming, there are barriers to acceptance. Potato growers are key in that equation, and using effective tools in communication is the way to find acceptance of scientific messages.
Presentation at the HM Clause company in Davis CA, talking about the ways we can use narrow bandwidth illumination to to modify plant growth and development. The use of modern genomics techniques to identify new fruit flavor associated genes is discussed as well.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
insect taxonomy importance systematics and classification
13 aranzana
1. YOUR LOGO
Exploring and exploiting
phenotypic and genetic diversity in
peach: identification of major genes and
QTLs by GWAS.
XIV EUCARPIA symposium on Fruit Breeding
and Genetics.
Maria José Aranzana
2. YOUR LOGO
Exploring and exploiting
phenotypic and genetic diversity in
peach: identification of major genes and
QTLs by GWAS.
XIV EUCARPIA symposium on Fruit Breeding
and Genetics.
Maria José Aranzana
3. YOUR LOGO
Partners involved
Ignazio Verde
Sabrina Micalli
Valeria Aramini
M.Teresa Dettori
Daniele Bassi
Laura Rossini
Igor Pacheco
Stefano Foschi
Alessandra Estella
Nelso Nazzicari
Andrea Caprera
Michela Troggio
Elisa Banchi
Pere Arús
Maria José Aranzana
Diego Micheletti
José Ramón Hernández
Ignasi Iglesias
Quim Carbó
Sanshan Gao
Xionwei Li
Li-rong Wang
Rui-juan Ma
Teresa Barreneche
Thierry Pascal
Bénédicte Quilot
Patrick Lambert
François Laurens
4. YOUR LOGO
Partners involved
Ignazio Verde
Sabrina Micalli
Valeria Aramini
M.Teresa Dettori
Daniele Bassi
Laura Rossini
Igor Pacheco
Stefano Foschi
Alessandra Estella
Nelso Nazzicari
Andrea Caprera
Michela Troggio
Elisa Banchi
Sanshan Gao
Xionwei Li
Li-rong Wang
Rui-juan Ma
Teresa Barreneche
Thierry Pascal
Bénédicte Quilot
Patrick Lambert
François Laurens
Pere Arús
Maria José Aranzana
Diego Micheletti
José Ramón Hernández
Ignasi Iglesias
Quim Carbó
5. YOUR LOGO
• Select those more interesting accessions within each
germplasm collection (200-300)
Exploring phenotypic diversity in peach
Approach
INRA UNIMI
CRA-RomeIRTA
ZJU
(China)
6. YOUR LOGO
• Select those more interesting accessions within each
germplasm collection (200-300)
Italy
France
Spain
China
• Collect all phenotypic information acquired for years
• Design the template of a common database for
available and common scales for new data
Approach
Exploring phenotypic diversity in peach
7. YOUR LOGO
1580 accessions:
• Local
• Old (founders)
• Commercial from breeding
programs
• Few non-persica
Exploring phenotypic diversity in peach
Common accessions with phenotypic
data between locations
10. YOUR LOGO
(r2= 0.60- 0.80) (r2= 0.97-0.98)
Exploring phenotypic diversity in peach
Data correlation between years
11. YOUR LOGO
(r2= 0.38- 0.68)
Data correlation between years
Exploring phenotypic diversity in peach
12. YOUR LOGO
Mean # days to full blossom IRTA-Mas Badia
Mean#daystofull
blossomIRTA-Gimenells
Mean # days to ripen IRTA-Mas Badia
Mean#daysto
ripenIRTA-Gimenells
Mean ºBRIX IRTA-Mas Badia
MeanºBRIXIRTA-
Gimenells
MeanacidityIRTA-
Gimenells
Mean acidity IRTA-Mas Badia
y = 47.4 + 0.39 x
r2= 0.18
y = 3.9 + 1.04 x
r2= 0.91
y = 6.5 + 0.49 x
r2= 0.39
y = 13.43 + 1.2 x
r2= 0.77
Exploring phenotypic diversity in peach
Data correlation between locations
13. YOUR LOGO
Exploring and exploiting
phenotypic and genetic diversity in peach:
identification of major genes and QTLs by
GWAS.
XIV EUCARPIA symposium on Fruit Breeding
and Genetics.
Maria José Aranzana
14. YOUR LOGO
• 1580 accessions geotyped with the 9K SNP chip
No Call <5%, three
genotypes
Null allele or preferential
annealing
Duplicated sequences/genes
FalseSNPs
Failed
Exploring genetic diversity in peach
4330
53%
25%
15. YOUR LOGO
115
28
17
4 2 2 2 2 0 1
2 3 4 5 6 7 8 9 10 11
# accessions with identical genotype (clones)
• SNPs identified 473 clones
(173 groups with 2 or more
clons)
Exploring genetic diversity in peach
16. YOUR LOGO
115
28
17
4 2 2 2 2 0 1
2 3 4 5 6 7 8 9 10 11
# accessions with identical genotype
• SNPs identified 473 clones
(173 groups with 2 or more
clons)
• 92% of accessions with the
same name where identical
Exploring genetic diversity in peach
17. YOUR LOGO
Exploring genetic diversity in peach
Oriental
(Chinese)
Occidenal
Breeding
Occidental
non-breeding
Occidenal
Breeding
Occidental
non-breeding
Oriental
(Chinese)
18. YOUR LOGO
Exploring genetic diversity in peach
Occ Breed
Occ non-Breed
Oriental
Admixed
Minor allele Frequency
19. YOUR LOGO
Exploring genetic diversity in peach
1.4 Mb 1 Mb
1.8 Mb 0.8 Mb
Occidental
Breeding
Occidental
Local
varieties
Oriental
Occidental varieties show SNPs in LD in the
flesh color (Y) region
Chromosome 1
Occidental
Breeding
Occidental
Local
Oriental Admixed
Linkage disequilibrium (LD)
20. YOUR LOGO
Exploring and exploiting
phenotypic and genetic diversity in peach:
identification of major genes and QTLs by
GWAS.
XIV EUCARPIA symposium on Fruit Breeding
and Genetics.
Maria José Aranzana
21. YOUR LOGO
Exploiting genetic diversity in peach: GWAS
Sub-acid
Peach/nectarine
Melting/non-melting
Leaf gland
White/yellow fruit flesh
Flat/round fruit
Flower type
22. YOUR LOGO
0 200 400 600 800 1000
Hap97
Hap98
Hap36
Hap5
Acid
Subacid
23 SNPs associated
Region 1.8 Mb
99 haplotypes
4 haplotypes associated
Exploiting genetic diversity in peach: GWAS
23. YOUR LOGO
21 SNPs associated
Region of 5.2 Mb
152 haplotypes
6 haplotypes associated
Exploiting genetic diversity in peach: GWAS
3 causal alleles
SSR
TE
SNP
24. YOUR LOGO
152 haplotypes
6 significant haplotypes
Ho
0.76
1.00
0.86
1.00
0.92
1.00
SSR
+TE
Set of SNPs associated in haplotypes tested in
WP1-pilot studies
Exploiting genetic diversity in peach: GWAS
27. YOUR LOGO
Ignazio Verde
Sabrina Micalli
Valeria Aramini
M.Teresa Dettori
Daniele Bassi
Laura Rossini
Igor Pacheco
Stefano Foschi
Alessandra Estella
Nelso Nazzicari
Andrea Caprera
Michela Troggio
Elisa Banchi
Pere Arús
Maria José Aranzana
Diego Micheletti
José Ramón Hernández
Ignasi Iglesias
Quim Carbó
Sanshan Gao
Xionwei Li
Li-rong Wang
Rui-juan Ma
Teresa Barreneche
Thierry Pascal
Bénédicte Quilot
Patrick Lambert
François Laurens
Thanks for your attention