Keynote presentation from Plant and Pathogen Bioinformatics workshop at EMBL-EBI, 8-11 July 2014
Slides and teaching material are available at https://github.com/widdowquinn/Teaching-EMBL-Plant-Path-Genomics
Slides from a Comparative Genomics and Visualisation course (part 2) presented at the University of Dundee, 11th March 2014. Other materials are available at GitHub (https://github.com/widdowquinn/Teaching)
Keynote presentation from Plant and Pathogen Bioinformatics workshop at EMBL-EBI, 8-11 July 2014
Slides and teaching material are available at https://github.com/widdowquinn/Teaching-EMBL-Plant-Path-Genomics
Slides from a Comparative Genomics and Visualisation course (part 2) presented at the University of Dundee, 11th March 2014. Other materials are available at GitHub (https://github.com/widdowquinn/Teaching)
Los días 7 y 8 de mayo organizamos en la Fundación Ramón Areces con la Fundación General CSIC el Simposio Internacional 'Microbiología: transmisión'. La "transmisión" en microbiología hace referencia al proceso por el que material genético es transferido de una célula a otra, de una población a otra. Es un proceso clave para entender el origen y la evolución de los seres vivos. El objetivo de esta reunión era conocer mejor la logística de la transmisión para ser capaces de modular o suprimir algunos procesos de transmisión dañinos.
Unit 1. How to measure diversity
LECTURE LEARNING GOALS
1. Describe the abundance and diversity of microbes, the “unseen majority”, in all natural and manufactured environments.
2. Explain the common measures of microbial diversity, and how diversity is measured.
3. What is the purpose of diversity?
Evolution Of Bacteria
Bacteria have existed from very early in the history of life on Earth. Bacteria fossils discovered in rocks date from at least the Devonian Period (419.2 million to 358.9 million years ago), and there are convincing arguments that bacteria have been present since early Precambrian time, about 3.5 billion years ago. Bacteria were widespread on Earth at least since the latter part of the Paleoproterozoic, roughly 1.8 billion years ago, when oxygen appeared in the atmosphere as a result of the action of the cyanobacteria. Bacteria have thus had plenty of time to adapt to their environments and to have given rise to numerous descendant forms.
Los días 7 y 8 de mayo organizamos en la Fundación Ramón Areces con la Fundación General CSIC el Simposio Internacional 'Microbiología: transmisión'. La "transmisión" en microbiología hace referencia al proceso por el que material genético es transferido de una célula a otra, de una población a otra. Es un proceso clave para entender el origen y la evolución de los seres vivos. El objetivo de esta reunión era conocer mejor la logística de la transmisión para ser capaces de modular o suprimir algunos procesos de transmisión dañinos.
Unit 1. How to measure diversity
LECTURE LEARNING GOALS
1. Describe the abundance and diversity of microbes, the “unseen majority”, in all natural and manufactured environments.
2. Explain the common measures of microbial diversity, and how diversity is measured.
3. What is the purpose of diversity?
Evolution Of Bacteria
Bacteria have existed from very early in the history of life on Earth. Bacteria fossils discovered in rocks date from at least the Devonian Period (419.2 million to 358.9 million years ago), and there are convincing arguments that bacteria have been present since early Precambrian time, about 3.5 billion years ago. Bacteria were widespread on Earth at least since the latter part of the Paleoproterozoic, roughly 1.8 billion years ago, when oxygen appeared in the atmosphere as a result of the action of the cyanobacteria. Bacteria have thus had plenty of time to adapt to their environments and to have given rise to numerous descendant forms.
Inferring microbial gene function from evolution of synonymous codon usage bi...Fran Supek
Introduction: Thousands of microbial genomes are available, yet even for the model organisms, a sizable portion of the genes have unknown function. Phyletic profiling is a technique that can predict their function by comparing the presence/absence profiles of their homologs across genomes. In addition, prokaryotic genomes contain an evolutionary signature of gene expression levels in the codon usage biases, where highly expressed genes prefer the codons better adapted to the cellular tRNA pools.
Objectives: We aimed to augment the existing phyletic profiling approaches by incorporating more detailed knowledge of gene evolutionary history, and create a very large database of predicted gene functions direcly usable for microbiologists.
Materials & methods: We used the OMA groups of orthologs and the paralogy relationships inferred through OMA's „witness of non-orthology“ rule. Genes were assigned to Gene Ontology categories and the phyletic profiles compared using the CLUS classifier that performs a hierarchical multilabel classification using decision trees. We quantified significant codon biases using a Random Forest randomization test that compares against the composition of intergenic DNA. Codon biases in COG gene families were contrasted between microbes inhabiting different enviroments, while controlling for phylogenetic inertia.
Results: The genomic co-occurence patterns of both the orthologs and the paralogs (the homologs separated by a speciation and by a duplication event, respectively) were informative and synergistic in a phylogenetic profiling setup, even though paralogy relationships are thought to conserve function less well. The resulting ~400,000 gene function predictions for 998 prokaryotes (at FDR<10%)> method to systematically link codon adaptation within COG gene families to microbial phenotypes and environments (thus functionally characterizing the COGs) and experimentally validated the predictions for novel E. coli genes relevant for surviving oxidative, thermal or osmotic stress.
Conclusion: Our work towards ehnancing phylogenetic profiling, as well as developing complementary genomic context approaches, will contribute to prioritizing experimental investigation of microbial gene function, cutting time and cost needed for discovery.
Domains of unknown function are essential in yeastLaura Berry
Presented in the Synthetic Biology & Gene Editing strand of the 4Bio Summit. For more information, visit:
www.global-engage.com
~25% of yeast essential domains of unknown function (yeDUFs) are broadly conserved across all kingdoms of life (including Bacteria), while a small number are found in large numbers of proteins in mammals. In this presentation, Norman Goodacre from the FDA discusses 68 yeDUFs and their roles in alternative carbohydrate metabolism, mitochondrial transport, nuclear pore complex, mRNA processing, initiation of translation, protein complex assembly, and membrane-binding.
Rapid Impact Assessment of Climatic and Physio-graphic Changes on Flagship G...Arvinder Singh
‘NATIONAL CONFERENCE ON MAN AND ENVIRONMENT’October 15 – 16, 2012
Organized by
Department of Zoology and Environmental Sciences, Punjabi University, Patiala (Pb.) – 147 002, India
Is microbial ecology driven by roaming genes?beiko
Microbial ecology often makes assumptions about the relationship between phylogeny and function, but these assumptions can be invalidated by lateral gene transfer. We need to take a broader view of relationships between genes and genomes in order to make better sense out of microbes.
Presentation about GenGIS at the "Visualizing Biological Data" (Vizbi 2016) meeting in Heidelberg, Germany. It was recommended that I include Fifty Shades of Gray in the title or description in order to increase the potential virality of the talk.
An overview of genomic epidemiology, Canada's IRIDA project for genome-based outbreak investigation, and a breathless romp through the awesome potential of the MinION
Short presentation about just how messy prokaryotic phylogeny can be, and some first attempts to make sense of the data using different network approaches.
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.
Climate Change All over the World .pptxsairaanwer024
Climate change refers to significant and lasting changes in the average weather patterns over periods ranging from decades to millions of years. It encompasses both global warming driven by human emissions of greenhouse gases and the resulting large-scale shifts in weather patterns. While climate change is a natural phenomenon, human activities, particularly since the Industrial Revolution, have accelerated its pace and intensity
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
Prevalence of Toxoplasma gondii infection in domestic animals in District Ban...Open Access Research Paper
Toxoplasma gondii is an intracellular zoonotic protozoan parasite, infect both humans and animals population worldwide. It can also cause abortion and inborn disease in humans and livestock population. In the present study total of 313 domestic animals were screened for Toxoplasma gondii infection. Of which 45 cows, 55 buffalos, 68 goats, 60 sheep and 85 shaver chicken were tested. Among these 40 (88.88%) cows were negative and 05 (11.12%) were positive. Similarly 55 (92.72%) buffalos were negative and 04 (07.28%) were positive. In goats 68 (98.52%) were negative and 01 (01.48%) was recorded positive. In sheep and shaver chicken the infection were not recorded.
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 the Carbon Cycle: Processes, Human Impacts, and Strategies for...MMariSelvam4
The carbon cycle is a critical component of Earth's environmental system, governing the movement and transformation of carbon through various reservoirs, including the atmosphere, oceans, soil, and living organisms. This complex cycle involves several key processes such as photosynthesis, respiration, decomposition, and carbon sequestration, each contributing to the regulation of carbon levels on the planet.
Human activities, particularly fossil fuel combustion and deforestation, have significantly altered the natural carbon cycle, leading to increased atmospheric carbon dioxide concentrations and driving climate change. Understanding the intricacies of the carbon cycle is essential for assessing the impacts of these changes and developing effective mitigation strategies.
By studying the carbon cycle, scientists can identify carbon sources and sinks, measure carbon fluxes, and predict future trends. This knowledge is crucial for crafting policies aimed at reducing carbon emissions, enhancing carbon storage, and promoting sustainable practices. The carbon cycle's interplay with climate systems, ecosystems, and human activities underscores its importance in maintaining a stable and healthy planet.
In-depth exploration of the carbon cycle reveals the delicate balance required to sustain life and the urgent need to address anthropogenic influences. Through research, education, and policy, we can work towards restoring equilibrium in the carbon cycle and ensuring a sustainable future for generations to come.
growbilliontrees.com-Trees for Granddaughter (1).pdf
Beiko ANL Soil Metagenomics presentation
1. Soil, lateral gene transfer,
and hybrid genomes
Robert Beiko
20 October 2015
2. A. microbe
Lateral gene transfer
http://genome.cbs.dtu.dk/staff/dave/MScourse/Lekt_11Feb2003c.html
3. In the gut
Butyrate synthesis in Lachnospiraceae and other
organisms
Meehan and Beiko (2014) Genome Biol Evol
Lachnospiraceae
4. LGT across habitats
Smillie et al. (2011) Nature
Within-site transfer rates are
highest in host-associated (i.e.,
human) habitats
AR genes are frequently
transferred BETWEEN habitats
5. Villegas-Torres et al. (2011) International Biodeterioration & Biodegradation
Forsberg et al. (2012) Science
Sorangium cellulosum So157-2
14.8 Mbp; 11,599 coding sequences
>1200 putative LGT acquisitions
Han et al. (2013) Sci Rep
6. An ecological view of genomes
Genes as individuals, Genomes as communities
Key concept mappings:
• Diversity: counts of genes / distribution across functional
categories
• Community: set of genes and their interactions
• Migration: lateral gene transfer
7. Metacommunity
Leibold et al., Ecol Lett, 2004
A set of local communities that are linked by dispersal
Species B
Species A
Habitat
Habitat
Habitat
Pattern and intensity
of migration for species A
8. Genome Metacommunity
Hypothesis
• Since…
• Genes are agents whose trajectories are not bound to
their host organisms
• Genes can evolve and take on new functional roles in
concert with other genes
• A genome can be viewed as a community of genes
• Related sets of genomes comprise a
metacommunity of genes
9. Genome Metacommunities
Boon et al., Fems Microbiol Rev, 2014
A set of genomes that are linked by LGT
Gene B
Gene A
Genome
Genome
Genome
Pattern and intensity
of LGT for gene A
10. Genome Metacommunities
Boon et al., Fems Microbiol Rev, 2014
Related to the pan-genome, but not
restricted to specific taxonomic groups
Why is a given gene present in a given
genome at a given time?
How are functional roles partitioned
across a community?
11. Soil thinking
How important is LGT in soil communities?
Does it make sense to think of gene metacommunities
in the soil context?
Lots of LGT
YES
Minimal LGT
NO
12. The procedure
• In the absence of a coherent set of known genomes
from a given habitat…
1. Identify an interesting sample
2. Select genomes with very high marker-gene (i.e.,
16S) similarity to sequences in the sample
(gOTUs)
3. Mine genomes for evidence of LGT, examine
patterns of connectivity
13. Conclusions
• Positive relationship between
abundance, diversity and pH
• Specific relationships between different
bacterial (notably Acidobacteria) and
fungal groups vs. pH
• Fungal OTUs appear to tolerate wider pH
ranges
(1)
Chosen sample:
http://metagenomics.anl.gov/?page=MetagenomeOverview&metagenome=4455674.3#org_ref (pH = 4.1)
18. Homology search
• Compare proxy genomes against nr database
• Identify interesting patterns:
• Unusual best matches (e.g., best nonself match is to a
completely different group)
• Patchy distributions, phylogenetic trees
• Linked sets of genes: co-transfer?
• Implicated biological processes?
20. Beiko (2011) Biol Direct
504 gene trees in which A. ferrooxidans has a unique genus as partner
Not shown: 795 genes w/multiple partners
Also not shown: 333 other trees with less frequent, unique partner genera
Split by 16S; reunited by genome sequencing?
21. Genome 1 – Acidithiobacillus ferrivorans
(renaming of A. ferrooxidans)
3093 predicted proteins / 3035 with homology
matches
Observed / Predicted capabilities:
• Facultatively anaerobic
• Psychrotolerant
• Optimal pH = 2.5
• Oxidation of iron and inorganic sulfur
• Carbon fixation, nitrate reduction
• Trehalose synthesis
• “Bioleaching”
Liljeqvist et al. (2011) J Bacteriol
22. Genome 1 – Acidithiobacillus ferrivorans
Best nonself match is to…
(273 non-Acidithiobacillus)
23. Mobile element signatures
dominate
• 14 x restriction system-associated
• 8 x transposase
• 8 x transcriptional regulators (incl CopG, TetR)
• Other resistance (LacZ, bleomycin, …)
• Integrase, reverse transcriptase, toxin/antitoxin,
bacteriocin, …
• Nitrate reductase & related
• >90 unknown
24. 1877 found in other
Acidithiobacillus + other
genera
Best non-Acidithiobacillus
match is to…
(only 11 Acidobacteria!)
26. Acidobacterial connections
• short-chain dehydrogenase/reductase SDR
• HNH endonuclease
• Glycoside hydrolase family 8 (x3)
• RES domain protein
• Transposase x 5
27. Phylogenetic profiles
# of similar genes (evalue < 10-50)
Min 30 connections
Proteobacteria
Actinobacteria
Cyanobacteria
Planctomycetes
Acidobacteria
Bacteroidetes
Acidithiobacillus
Key observations
• Connections to many other groups,
mostly Proteobacteria (not surprising)
• No between-group connections outside
Proteobacteria at this threshold
• Acidithiobacillus as hub rather than part
of gene-exchange community?
65
28. Mutual information-based network
(do groups co-occur > random?)
Acidithiobacillus
Gammaproteobacteria
Alpha/Betaproteobacteria
Key observations
• Connections mostly predictable by
phylogeny
• Again, no interesting partners outside of
Proteobacteria
• However, many connections between
Alpha/Betaproteobacteria
30. Genome 2 – Terriglobus roseus
Eichorst et al (2007) IJSEM
• “Group 1” acidobacterium
• Preferred pH: ~6
• Aerobic
• Catalase, carotenoids for defense against reactive oxygen
• Oligotrophic; can grow on a wide range of carbon sources
• 4245 protein-coding genes (2735 with nr matches, 558
species-specific)
Rousk et al. Eichorst et al.
34. LPS O-antigen
biosynthesis
gi 390412425
CDP-glucose
4,6-dehydratase
gi 390412426
glucose-1-phosphate
cytidylyltransferase
gi 390412427
“LPS biosynthesis
protein”
Distribution:
• Acidithiobacillus
• Acidobacteria
• Other proteobacteria
• Other
Flavobacteria
Spirochaetes
Spirochaetes
Cyanobacteria
35. Contrasting Acidithiobacillus vs
Terriglobus relationships:
Same partners, different dance
Compare profiles vs Streptomycetaceae (five strains
found in sample gOTU)
Acidithiobacillus Common Terriglobus
Polyphosphate
kinase
glucose-6-
phosphate 1-
dehydrogenase
Carbon monoxide
dehydrogenase
More glycolytic
enzymes
Heavy-metal
resistance / export
Multidrug
resistance
Ammonium
transporter
Catalase /
peroxidase
Exopolysaccaride
36. Conclusions
• Different layers of LGT:
• Very recent: mostly mobile elements (proxies unsuitable)
• Less recent (outside species / genus) (proxies potentially
more justifiable)
• Taxonomy is a pain
• What’s the story with gene metacommunities?
• Lots of LGT!
• Recurrent patterns of sharing among groups not evident
• Metacommunities at the pan-genome level?
• Need many isolate genomes from single samples
37. Technical impacts of LGT and
gene metacommunities
Metagenomic read assignment
• Recently acquired genes will still look like they belong
in the donor
• These are some of the most interesting genes!!
Functional prediction (e.g., PICRUSt)
• Phylogeny will fail to accurately predict the distribution
of these genes. Be very careful with extreme or poorly
characterized samples!
Phylogenetic beta diversity may be misleading
38. Key questions in LGT and gene
metacommunities
• Are gene-sharing networks:
• Random?
• Driven by shared location / habitat?
• Constrained by phylogenetic relatedness?
• Are shared genes:
• Neutral or adaptive?
• Driven by specific types of mobile element?