GSB uses systems biology approaches like network analysis, modeling, and omics technologies to decipher the intricate web of relationships between organisms, genes, and environmental factors within ecosystems. This holistic approach helps reveal hidden patterns and dynamics that traditional reductionist methods might miss.
Sunflower crop improvement through Integrated Omic apporach sreevathsasagar
Crop production today is threatened by severe biotic and abiotic stresses due to extreme weather condition The benefits in yield and food quality brought by “The Green Revolution” are not sufficient as forecasts an increase of 70% for food requirements by 2050 (Fischer et al. 2009 Only 2% of genetic gain in order to meet demands is questionable as, so far, annual gain in crop productivity is rated from 0.8 to 1.2%, which is considered insufficient (Li et al 2018 ) Sunflower has been recognized as a major source of high-quality edible oil and dietary fibers with high amount of oil (40–50%) and contain monounsaturated fatty acid (oleic acid) of potential health benefits
Native to North America (ability for adaptability sunflower is grown around the globe as major oil seed crop)sunflower oil has a wide range of applications as a supplement in chemical and pharmaceutical industries. substantial progress in sunflower breeding by application of modern breeding apporachers substantial progress has been made in order to improve breeding process in sunflower by application of DNA markers, especially for disease resistance and tolerance to abiotic stress
Further progress in sunflower improvement relies on combining all available cutting edge scientific tools, techniques and platforms in modern breeding such as molecular breeding, genomics and other functional omics through integrated approach with the aim to thoroughly decipher the complex mechanisms in the background of many important agronomic traits
Integrated omics approach through the systems biology offers novel possibilities for deciphering the complex pathways, and molecular profiling provides important answers that can be utilized for more efficient breeding of sunflower.
The genetic improvement of any crop, and thus of sunflower, largely depends on the acquisition of appropriate variability as the main cornerstone that allows successful progress as a response to new breeding challenges.
Additionally, detailed information on genetic and phenotypic data of available germplasm is important from the breeding aspect in terms of correct selection of material for crossing although there is a very large collection of genetic material around the world, there is a lack in discovering beneficial alleles that can be utilized in breeding and transferred into elite genotypes Technological developments enabled detailed and complex omic-studies and provided valuable inferences generated by examining the functioning of the cellular system under different circumstances
Such data can be utilized to formulate predictive models of behavior of important agronomic traits and integrate them within the concept of quantitative genetics
omics data are expected to group interaction information within and between different biological layers and enhance the predictive ability of a particular trait
An integrative approach, which includes data from different omics datasets, is known as systems biology
Genomics, Transcriptomics, Proteomics, Metabolomics - Basic concepts for clin...Prasenjit Mitra
This set of slides gives an overview regarding the various omics technologies available and how they can be used for improvement in clinical setting or research
OMICS is the comprehensive analysis of the biological system. The technologies which made a revolution such as Genomics, Transcriptomics, Proteomics, Metabolomics and Phenomics, in screening traits and develop novel improved organisms are mentioned here. The presentation gives a brief idea about various OMICS technology used in crop improvement, their steps, techniques used, applications, scope, advantages and disadvantages.
Sunflower crop improvement through Integrated Omic apporach sreevathsasagar
Crop production today is threatened by severe biotic and abiotic stresses due to extreme weather condition The benefits in yield and food quality brought by “The Green Revolution” are not sufficient as forecasts an increase of 70% for food requirements by 2050 (Fischer et al. 2009 Only 2% of genetic gain in order to meet demands is questionable as, so far, annual gain in crop productivity is rated from 0.8 to 1.2%, which is considered insufficient (Li et al 2018 ) Sunflower has been recognized as a major source of high-quality edible oil and dietary fibers with high amount of oil (40–50%) and contain monounsaturated fatty acid (oleic acid) of potential health benefits
Native to North America (ability for adaptability sunflower is grown around the globe as major oil seed crop)sunflower oil has a wide range of applications as a supplement in chemical and pharmaceutical industries. substantial progress in sunflower breeding by application of modern breeding apporachers substantial progress has been made in order to improve breeding process in sunflower by application of DNA markers, especially for disease resistance and tolerance to abiotic stress
Further progress in sunflower improvement relies on combining all available cutting edge scientific tools, techniques and platforms in modern breeding such as molecular breeding, genomics and other functional omics through integrated approach with the aim to thoroughly decipher the complex mechanisms in the background of many important agronomic traits
Integrated omics approach through the systems biology offers novel possibilities for deciphering the complex pathways, and molecular profiling provides important answers that can be utilized for more efficient breeding of sunflower.
The genetic improvement of any crop, and thus of sunflower, largely depends on the acquisition of appropriate variability as the main cornerstone that allows successful progress as a response to new breeding challenges.
Additionally, detailed information on genetic and phenotypic data of available germplasm is important from the breeding aspect in terms of correct selection of material for crossing although there is a very large collection of genetic material around the world, there is a lack in discovering beneficial alleles that can be utilized in breeding and transferred into elite genotypes Technological developments enabled detailed and complex omic-studies and provided valuable inferences generated by examining the functioning of the cellular system under different circumstances
Such data can be utilized to formulate predictive models of behavior of important agronomic traits and integrate them within the concept of quantitative genetics
omics data are expected to group interaction information within and between different biological layers and enhance the predictive ability of a particular trait
An integrative approach, which includes data from different omics datasets, is known as systems biology
Genomics, Transcriptomics, Proteomics, Metabolomics - Basic concepts for clin...Prasenjit Mitra
This set of slides gives an overview regarding the various omics technologies available and how they can be used for improvement in clinical setting or research
OMICS is the comprehensive analysis of the biological system. The technologies which made a revolution such as Genomics, Transcriptomics, Proteomics, Metabolomics and Phenomics, in screening traits and develop novel improved organisms are mentioned here. The presentation gives a brief idea about various OMICS technology used in crop improvement, their steps, techniques used, applications, scope, advantages and disadvantages.
Molecular pathology in microbiology and metagenomicsCharithRanatunga
INTRODUCTION
HISTORY
Steps
Analysis
Metagenomic Process
Sequence-based analysis
Function-based analysis
Application of metagenomics
Future Directions of metagenomics
Examples for metagenomics projects
WRI’s brand new “Food Service Playbook for Promoting Sustainable Food Choices” gives food service operators the very latest strategies for creating dining environments that empower consumers to choose sustainable, plant-rich dishes. This research builds off our first guide for food service, now with industry experience and insights from nearly 350 academic trials.
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Similar to Green System Biology (GSB) is an emerging field that merges the principles of systems biology with ecological research and green biotechnology.
Molecular pathology in microbiology and metagenomicsCharithRanatunga
INTRODUCTION
HISTORY
Steps
Analysis
Metagenomic Process
Sequence-based analysis
Function-based analysis
Application of metagenomics
Future Directions of metagenomics
Examples for metagenomics projects
Similar to Green System Biology (GSB) is an emerging field that merges the principles of systems biology with ecological research and green biotechnology. (20)
WRI’s brand new “Food Service Playbook for Promoting Sustainable Food Choices” gives food service operators the very latest strategies for creating dining environments that empower consumers to choose sustainable, plant-rich dishes. This research builds off our first guide for food service, now with industry experience and insights from nearly 350 academic trials.
Characterization and the Kinetics of drying at the drying oven and with micro...Open Access Research Paper
The objective of this work is to contribute to valorization de Nephelium lappaceum by the characterization of kinetics of drying of seeds of Nephelium lappaceum. The seeds were dehydrated until a constant mass respectively in a drying oven and a microwawe oven. The temperatures and the powers of drying are respectively: 50, 60 and 70°C and 140, 280 and 420 W. The results show that the curves of drying of seeds of Nephelium lappaceum do not present a phase of constant kinetics. The coefficients of diffusion vary between 2.09.10-8 to 2.98. 10-8m-2/s in the interval of 50°C at 70°C and between 4.83×10-07 at 9.04×10-07 m-8/s for the powers going of 140 W with 420 W the relation between Arrhenius and a value of energy of activation of 16.49 kJ. mol-1 expressed the effect of the temperature on effective diffusivity.
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business Venturesgreendigital
Willie Nelson is a name that resonates within the world of music and entertainment. Known for his unique voice, and masterful guitar skills. and an extraordinary career spanning several decades. Nelson has become a legend in the country music scene. But, his influence extends far beyond the realm of music. with ventures in acting, writing, activism, and business. This comprehensive article delves into Willie Nelson net worth. exploring the various facets of his career that have contributed to his large fortune.
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Introduction
Willie Nelson net worth is a testament to his enduring influence and success in many fields. Born on April 29, 1933, in Abbott, Texas. Nelson's journey from a humble beginning to becoming one of the most iconic figures in American music is nothing short of inspirational. His net worth, which estimated to be around $25 million as of 2024. reflects a career that is as diverse as it is prolific.
Early Life and Musical Beginnings
Humble Origins
Willie Hugh Nelson was born during the Great Depression. a time of significant economic hardship in the United States. Raised by his grandparents. Nelson found solace and inspiration in music from an early age. His grandmother taught him to play the guitar. setting the stage for what would become an illustrious career.
First Steps in Music
Nelson's initial foray into the music industry was fraught with challenges. He moved to Nashville, Tennessee, to pursue his dreams, but success did not come . Working as a songwriter, Nelson penned hits for other artists. which helped him gain a foothold in the competitive music scene. His songwriting skills contributed to his early earnings. laying the foundation for his net worth.
Rise to Stardom
Breakthrough Albums
The 1970s marked a turning point in Willie Nelson's career. His albums "Shotgun Willie" (1973), "Red Headed Stranger" (1975). and "Stardust" (1978) received critical acclaim and commercial success. These albums not only solidified his position in the country music genre. but also introduced his music to a broader audience. The success of these albums played a crucial role in boosting Willie Nelson net worth.
Iconic Songs
Willie Nelson net worth is also attributed to his extensive catalog of hit songs. Tracks like "Blue Eyes Crying in the Rain," "On the Road Again," and "Always on My Mind" have become timeless classics. These songs have not only earned Nelson large royalties but have also ensured his continued relevance in the music industry.
Acting and Film Career
Hollywood Ventures
In addition to his music career, Willie Nelson has also made a mark in Hollywood. His distinctive personality and on-screen presence have landed him roles in several films and television shows. Notable appearances include roles in "The Electric Horseman" (1979), "Honeysuckle Rose" (1980), and "Barbarosa" (1982). These acting gigs have added a significant amount to Willie Nelson net worth.
Television Appearances
Nelson's char
UNDERSTANDING WHAT GREEN WASHING IS!.pdfJulietMogola
Many companies today use green washing to lure the public into thinking they are conserving the environment but in real sense they are doing more harm. There have been such several cases from very big companies here in Kenya and also globally. This ranges from various sectors from manufacturing and goes to consumer products. Educating people on greenwashing will enable people to make better choices based on their analysis and not on what they see on marketing sites.
Artificial Reefs by Kuddle Life Foundation - May 2024punit537210
Situated in Pondicherry, India, Kuddle Life Foundation is a charitable, non-profit and non-governmental organization (NGO) dedicated to improving the living standards of coastal communities and simultaneously placing a strong emphasis on the protection of marine ecosystems.
One of the key areas we work in is Artificial Reefs. This presentation captures our journey so far and our learnings. We hope you get as excited about marine conservation and artificial reefs as we are.
Please visit our website: https://kuddlelife.org
Our Instagram channel:
@kuddlelifefoundation
Our Linkedin Page:
https://www.linkedin.com/company/kuddlelifefoundation/
and write to us if you have any questions:
info@kuddlelife.org
Artificial Reefs by Kuddle Life Foundation - May 2024
Green System Biology (GSB) is an emerging field that merges the principles of systems biology with ecological research and green biotechnology.
1.
2. Overview
• Knowledge exchange of ecosystems research
and green biotechnology merging into green
systems biology is anticipated based on the
principles of natural variation, biodiversity
and the genotype–phenotype environment
relationship as the fundamental drivers of
ecology and evolution.
3. • The development of complete new
technologies in biological research over the last
10 years the foundations of green systems
biology lead to a refinement of plant ecology
and evolution as well as classical breeding and
biotechnological different approaches.
4. Foundations of
GREEN SYSTEM BIOLOGY
• Three major developments have revolutionized
biology:
1. Genome sequencing,
2. The OMICS revolution and,
3. Computer-assisted analysis, modeling and
interpretation of biological data.
5. • First, genome sequencing has led to a repertoire
of plant genome sequences which still has to be
explored in its depth, starting with Arabidopsis
thaliana as a first plant model system.
• There is an exponential growth of genome
sequences and this will increase even more due to
novel sequencing technologies called next
generation sequencing (NGS).
6. • Based on genome raw sequences derived through
classical sequencing and shotgun genomics,
genome assembly is a computer-based approach.
• After the assembly of a full genome, the next step
is functional annotation. Predicted genes are
searched for homology against databases of
characterized genes and proteins.
7. • It is obvious that this initial functional annotation
is not capable of producing a complete functional
interpretation of the whole genome and a
prediction of the molecular phenotype.
• Consequently, the molecular phenotype needs to
be measured for the functional interpretation of the
genotype. These demands coincide with another
technical development in biology called the
“OMICS revolution”.
8. • This leads to genome-scale, dynamic molecular
data in combination with a genomic template.
• The ultimate goal is to derive a mathematical
model of metabolism that is driven by genome
data and predicts the phenotype and
ecophysiology of the plant correctly .
9. Natural Variation
• Natural variation – e.g. colors of ornamental
flowers and thus also traits for breeding – was
recognized and explored in early times by
Mendel's investigations and the rediscovery of
Mendel's laws and defined the genotype–
phenotype relationship.
10. • Any phenotype is of course a result of molecular
changes based on genotype variation and leading into
phenotype-environment variation.
• This is especially important for the functional
interpretation of a genome.
• Accordingly, a gene's function should ideally be
defined in the context of the system's state as a
response to the environment.
11. THE DYNAMIC GENOTYPE–PHENOTYPE
RELATIONSHIP
• Based on the detection of orthologeous genes in
other organisms, many genes can be characterized
only with reference to their homology.
• Enzymatic reactions can be postulated depending
on these postulated gene functions.
• Educts and products participate in an enzymatic
reaction.
12. • Based on this reaction list, a stoichiometric matrix N
can be built that is also known from chemical
reaction lists.
• A metabolic network can be postulated for any
organism on the basis of this stoichiometric matrix.
• In recent study, the first metabolic draft network of
Chlamydomonas reinhardtii was built on the basis of
the newly sequenced genome of this unicellular green
algae.
13. • Due to very recent developments in bioanalytical
chemistry and plant biotechnology this intimate
relationship of the genotype and the phenotype
can now be investigated in much more detail.
• Ex: SNP arrays or SNP-NGS
Fig: The Dynamic Genotype-phenotype Relationship
14. Applications in
Ecology And Ecosystems
• The application of NGS, RNA- seq, microarrays,
proteomics and metabolomics is still in its
infancy in ecological research.
• Ecosystems dynamics are driven by the diversity
of their species.
• Arabidopsis is an ideal model system for the
investigation of ecotypes and natural variation.
15. • In a recent study by Chevalier et al. eight
Arabidopsis ecotypes were analyzed with two-
dimensional gel electrophoresis. It was possible
to classify the ecotypes by the identification of
different protein markers and functional
differences between the ecotypes.
16. • All lab-based experiments to provide as
controlled conditions as possible. The next
challenging demand is to analyze the plant in its
natural environment.
E.g. The JENA experiment.
• A pronounced diversity gradient was observable
in the metabolite profiles as well as individual
responses of the different plant species.
17. APPLICATIONS IN
BIOTECHNOLOGY
• Marker-assisted selection (MAS):
The integration of metabolite and protein
profiling has already been demonstrated to
significantly improve pattern recognition and the
selection and interpretation of multiple
physiological and bio-markers for plant systems
and different plant genotypes under different
environmental conditions such as day–night
rhythms or cold stress.
18. • The exploitation of these technologies in plant
biotechnology and QTL-based marker-assisted
breeding approaches is an obvious development.
• In recent studies the successful application of
these technologies was also demonstrated for
proteomics and metabolomics.
19. • Biofuels :
It is of the utmost importance that the transition
from first-generation biofuels (corn, sugar cane,
etc.) to second generation (trees, poplar etc.) to
third- generation biofuels (photoautotrophic
microbes, microalgae) is addressed as soon as
possible with profound support from international
funding agencies.
20. • Applied to energy crops such as grasses and trees
and photoautotrophic microbes as well as
microalgae, biofuel production can be
investigated and enhanced at all levels from
modern breeding approaches up to genetic
engineering solving biomass recalcitrance.
• Chlamydomonas reinhardtii is one of the most
accessible model systems for photoautotrophic
growth and hydrogen and lipid production.
21. • The unicellular green algae was recently
sequenced and in many laboratories now serves as
the model of choice for physiological,
ecophysiological and economical investigations of
biofuel production.
• Populus trichocarpa is a tree model system for
energy crops. Poplar belongs to the family of
Salicaceae and is a fast growing tree. As an energy
crop it is used worldwide in short rotation farming.
22. Reference
• Wolfram Weckwerth, Green systems biology, Journal Of
Proteomics 75 (2011) 284 – 305 .
• Chevalier F, Martin O, Rofidal V, Devauchelle AD, et al.,
Proteomic investigation of natural variation between,
Arabidopsis ecotypes. Proteomics 2004;4:1372–81.