Fungi are a diverse group of organisms that include mushrooms, molds, yeasts, and microfungi. They obtain nutrients by absorbing them from surrounding materials and are important decomposers in ecosystems. Fungi can reproduce both sexually through structures like basidia and ascocarps, and asexually through spores, budding, or fragmentation. They play key roles as decomposers, pathogens, and mutualists with other organisms like plants and algae in lichens.
Fungi is most abundantly found organism in earth, almost all parts of earth we found earth, here we represent some characteristic with their uses and disadvantages .
Fungi are eukaryotic organisms that include microorganisms such as yeasts, moulds and mushrooms. These organisms are classified under kingdom fungi.
Fungi is most abundantly found organism in earth, almost all parts of earth we found earth, here we represent some characteristic with their uses and disadvantages .
Fungi are eukaryotic organisms that include microorganisms such as yeasts, moulds and mushrooms. These organisms are classified under kingdom fungi.
General Characteristic of Fungi
Mycology
DEFINITION
Occurrence
Characteristics
Nutrition
Cell structure of Fungi
Fungi as parasites & pathogens
Presentation
BEST OF LUCK
Biological Classification
This ppt shows the details of biological classification. it gives a brief idea about the five kingdom classification with a detailed description of kingdoms monera, protista and fungi. a detailed description of viruses, viroids, prions and lichens have also been given....
For more details visit my youtube channel: (VIHIRA ACADEMY)
https://www.youtube.com/channel/UCxo06Nj-QWo_7SNvMyDnJCQ?view_as=subscriber
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
General Characteristic of Fungi
Mycology
DEFINITION
Occurrence
Characteristics
Nutrition
Cell structure of Fungi
Fungi as parasites & pathogens
Presentation
BEST OF LUCK
Biological Classification
This ppt shows the details of biological classification. it gives a brief idea about the five kingdom classification with a detailed description of kingdoms monera, protista and fungi. a detailed description of viruses, viroids, prions and lichens have also been given....
For more details visit my youtube channel: (VIHIRA ACADEMY)
https://www.youtube.com/channel/UCxo06Nj-QWo_7SNvMyDnJCQ?view_as=subscriber
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
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.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
3. Key Concepts:
• Fungi are heterotrophs
• Fungi are the decomposers
• Fungi use extracellular digestion – when enzymes
are secreted outside of their body to digest food
• Most fungi are multicellular
• Fungal spores develop from hyphae
• Many fungi are symbionts with other organisms
4. Characteristics of Fungi
• Multicellular
• Plant looking
• Mushrooms, molds
• Single cell
• Yeasts
• Found in soil, on plants, in
humans
Yeast
5. Fungi are adapted to absorb their
food from the environment.
Plants Both Fungi
Autotrophic
(photosynthesize)
Eukaryotic Heterotrophic (absorb and
digest from the surface they
live on for energy)
Roots Non-motile/ anchored in
soil or structure
Decomposers
1 nucleus per cell Organelles Can have 1+ nuclei per cell
Cell wall made of cellulose Cell Wall Cell wall made of chitin
(carb)
6.
7. 3 Major Features
1.Cell walls
• Made of Chitin
• The same stuff that makes insects’ exoskeleton.
8. 2. Hyphae
• Thin filaments making up the fungus.
• Long, thread-like chains of cells.
• Grow at the tips and branch…
• Mycelium – mass of hyphae
14. 1. Phylum Chytridiomycota
• Mostly marine
• Mostly saprophytes (lives on dead
or decaying organic matter)
• Have flagellated spores
15. 2. Blastocladiomycota
• Filum ini pernah dianggap sebagai bagian dari chytrids, namun
sebagian besar chytrids sejati (Chytridiomycota) menghasilkan
miselium terbatas sementara Blastocladiomycota biasanya
membuat miselia yang banyak.
16. • Members of this phylum do exhibit a complete alternation of
generation between
1. a haploid gametophyte and
2. a diploid sporophyte
3. the phase in which meiosis occurs
17. Blastocladiomycetes
Uniflagellated zoospores
Allomyces example
• Water mold
• Haplodiplontic life cycle
• Female gametes secrete
pheromone to attract male
gametes
• Giant mitochondria in its
zoospores
• Cell Covering: Secreted body
wall of chitin and glucan.
18. Phylum Mucoromycota
Mucoromycotina is a subphylum of uncertain placement in Fungi.
It was considered part of the phylum Zygomycota, but recent
phylogenetic studies have shown that it was polyphyletic and thus
split into several groups, it is now thought to be a paraphyletic
grouping.
Mucoromycotina is currently composed of 3 orders, 61 genera, and
325 species. Some common characteristics seen throughout the
species include: development of coenocytic mycelium, saprotrophic
lifestyles, and filamentous.
19. • Mostly terrestrial.
• Two types of hyphae:
– Stolons – (horizontal) spread across the surface
– Rhizoids – (vertical) digs into the surface
20.
21.
22. Characteristics
• One of the groups of fungi defined by the production of asexual
aplanospores,
• fusion of gametangia to produce zygospores and
• walls of chitin and chitosan;
23.
24.
25. • A. ASEXUAL REPRODUCTION:
Sporangiospores (aplanospores) or modified sporangia (sac-like merosporangia) functioning as conidia.
• B. SEXUAL REPRODUCTION:
Two morphologically similar gametangia fuse to produce a warty, thick zygospore. Meiosis within zygospore.
• C. VEGETATIVE HYPHAE:
Haplophase; no dikaryophase except in fused gametangia; aseptate.
• D. CELL WALLS: Chitin and chitosan.
• E. ECOLOGY: Free-living to parasitic. Free-living forms mainly terrestrial saprobes. Parasites mainly of insects, but
of other animals, too. Some parasitic on microbial eukaryotes.
26. Phylum Ascomycota (Sac Fungi)
• Most are multicellular (except for yeast)
• Most undergo asexual reproduction
• Largest phylum of Fungi
ascoscarpMorels
33. • Club fungi have fruiting bodies which are club-shaped.
• Most are edible
• reproductive structures called basidia
• Include mushrooms, puffballs, and shelf fungi
Phylum Basidiomycota (Club Fungi)
34. Ascomycota
Basidiomycota
Glomeromycota
Entomophthoromycotina / Zygomycota
Blastocladiales / Blastocladiomycota
Chytridiales
Spizellomycetales
Monoblepharidales
Neocallimastigales / Neocallimastigomycota
Rozella
Mucoromycotina / Zygomycota
Olpidium
Kickxellomycotina / Zygomycota
Zoopagomycotina / Zygomycota
Chytridiomycota
Microsporidia
X
?
Mesomycetozoa
Kingdom
Fungi
X = loss of flagellum
?
>80% of all
known Fungi
35. General characters:
• 1- Is one of two large Phylum that, together with
the Ascomycota .
• 2- filamentous fungi composed of hyphae
(except for basidiomycotayeast) .
• 3- reproduce sexually By the formation of
specialized club-shaped end cells called basidia
that normally bear external spores (usually
four).
36. • 4- Specialized spores in this
phylum called basidiospores .
• 5- The basidiospores on the
basidium is naked in nature or
inside a vegetable composition
called basidiocarp.
• 6- The Threaded fungal(hyphae )
in Basidiomycota forming a
Clamp connection between
adjacent cells, which are
characteristic of this Phylum
37.
38. Basidiospores :
• Is the unit of sexual
reproduction in Basidiomycota
which is formed after passing
through the stages of sexual
reproduction Plasmogamy and
Karyogamy and then the
Meiosis٬ the last two stages
occur in the basidium and
eventually consists of four
basidiosporeson each basidium.
40. Asexual reproduction:
• Asexual reproduction of
Basidiomycota fungi by budding
or
• Fragmentation the mycelium or
by the formation of conidides or
by Urediospores
41. Presence :
• Basidiomycota are found on land
and in different parts of the
world.
• Most of them live on a variety of
organic materials, which have
the
• ability to decompose organic
matter and rot wood.
• Economic importance:
1- Live parasitic on plants caused by
plant diseases such as rust rust
diseases and smut diseases .
2- some species are used as food for
humans around the world, such as
fungus Mushroom .
3- some species are toxic and deadly
to humans called Toadstool, such as
Amanita sp. Which is called the Death
Angel.
42. Basidiocarp :
Basidiocarp is different in size from a small
microscope that is notseen by the naked
eye to several feet in diameter and several
kilograms inweight. For example, the size
of Polypores is 147 cm in diameter, and
themushroom weight sometimes reaches
5 pounds. Basidocarp is alsodifferent in
composition, whether it is skinning,
gelatin, wood, sponge orpaper .
43. Basidium :
• A reproductive structure in Basidiomycotafungi carried
four Strigma
• (perfect number) each Strigmacarry one Basidospores .
• Types of Basidium :
• 1- Holobasidium : consists of one cell different sizes
undivided
• 2- Phragmobasidium : divided by septa Longitudinal or
transverse
• 3- Teiliobasidium : Represent Teliospore
44. 5. Phylum Deuteromycota
Ringworm
•Asexual Reproduction
•Imperfect Fungi
•Do not fit into the commonly established taxonomic classification
•No sexual structures
•Multicellular tissue is similar to the hyphae of sac fungi and club fungi
•Erect hyphae with asexual spores similar to sac fungi and club fungi
46. Fungi Reproduction
• 3 kinds of fungi reproduction:
– Budding
– Fragmentation
– Spore production
47. Fungi reproduce sexually and asexually.
• Most fungi reproduce both sexually and asexually.
– Yeasts reproduce asexually through budding.
– Yeasts form asci (sexual spore-bearing cell) during sexual
reproduction.
48. • Multicellular fungi have complex reproductive cycles.
– distinctive reproductive
structures
Draw in Lab Journal:
Figure 5-5 p. 556
49. • life cycles may include either sexual or asexual reproduction or both
• Draw in lab journal – Figure 5-6A p. 557
• Multicellular fungi have complex reproductive cycles.
50. • life cycles may include either sexual or asexual reproduction or both
• Draw in Lab Journal: Figure 5-6B page 557
• Multicellular fungi have complex reproductive cycles.
53. Fungi may be decomposers,
pathogens, or mutualists.
• Fungi and bacteria are the main decomposers in any ecosystem.
– decompose dead leaves, twigs, logs, and animals
– return nutrients to the soil
– can damage fruit trees and wooden structures
54. •Fungi can act as pathogens.
– human diseases include ringworm and athlete’s foot
– plant diseases include Dutch elm disease
–Haustoria – hyphae that penetrate the host so that the parasitic fungus can
absorb nutrients
55. •Fungi can act as mutualists.
– lichens form between fungi and algae
– mycorrhizae form between fungi and plants
56. Lichens
Bioindicators – help show when environmental
conditions are unsuitable.
Pioneer species – 1st to inhabit an environment.
Fungi (usually ascomycota) + algae (or
photosynthetic bacteria)
foliose
crustose
57. dispersal
fragment (cells of
mycobiont and of
photobiont)
cortex (outer
layer of
mycobiont)
photobionts
medulla (inner
layer of loosley
woven hyphae)
cortex
Crustose