This document discusses the symptoms caused by different types of entomopathogenic microorganisms, including bacteria, viruses, fungi, nematodes, protozoa, and rickettsiae. It describes how these pathogens affect insects through reduced feeding and activity, disintegration of tissues, production of spores or hyphae on the exterior of the insect, and other symptoms. The document also lists desirable attributes for entomopathogens used as biopesticides, such as high virulence, host specificity, safety to non-target organisms, and cost-effective mass production.
Semminar on shell fish diseases NDUAT KUMARGANJ faizabadAshish sahu
he common shellfish diseases are listed and the known specific etiologic agents are indicated. The latter include viral, bacterial, fungal, protozoan, and metazoan parasitic and infectious agents. In addition, predators, toxic agents, and fouling organisms produce seri- ous economic losses.
Semminar on shell fish diseases NDUAT KUMARGANJ faizabadAshish sahu
he common shellfish diseases are listed and the known specific etiologic agents are indicated. The latter include viral, bacterial, fungal, protozoan, and metazoan parasitic and infectious agents. In addition, predators, toxic agents, and fouling organisms produce seri- ous economic losses.
Comparative analysis on food infections and food intoxicationsProximaDhiman
comparing food intoxication and infection, microbiologically oriented information about various foo-borne diseases,
types of food-borne diseases and their comparison.
types of food infection
bacterial food borne infection
viral food borne infection
parasitic food borne infection
types of food intoxication-
1.chemical intoxication and their further divisions,
2.plant intoxication
3.animal intoxication
4.bacterial intoxication
5.fungal intoxication
Comparative analysis on food infections and food intoxicationsProximaDhiman
comparing food intoxication and infection, microbiologically oriented information about various foo-borne diseases,
types of food-borne diseases and their comparison.
types of food infection
bacterial food borne infection
viral food borne infection
parasitic food borne infection
types of food intoxication-
1.chemical intoxication and their further divisions,
2.plant intoxication
3.animal intoxication
4.bacterial intoxication
5.fungal intoxication
In this presentation I am explaining the different reproductive strategies in Insects and fitness, clutch size, reproductive competition in parasitoids
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.
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.
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.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
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.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
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 .
1. ELEC 230 (2+1):BIOPESTICIDES AND
BIO FERTILIZERS
Course In-Charge
Mr.S.Srinivasnaik
Assistant Professor
Department of Entomology
Lecture No.5
VIRULENCE, PATHOGENESITY AND SYMPTOMS OF
ENTOMOPATHOGENS
2. ENTOMOPATHOGENIC BACTERIA
•Reduced feeding and reduced activity of insect
•Fluid discharge from mouth and anus
•Body becomes dark/black and finally septicaemia (Blood
poisoning)
•Excretory system is affected, body cells get disintegrated
•Non coordination of nervous system
•Milky disease caused by Bacillus popilliae in Scarabaeidae
family insects viz., Popillia japonica (Japanese beetle). The
blood of the insect becomes white.
•Virulence: 2-3 days the insect get killed
3. ENTOMOPATHOGENIC VIRUS
•Dull in colour
•Feeding rate is reduced
•Larvae become pinkish white in the ventral side due to the
accumulation of polyhedra
•Larvae become flaccid, fragile, rupture,
•Diseased larvae hangs upside down known as
wipfelkrankheit/tree top symptom/caterpillar wilt
•Virulence:4-6 days
4. ENTOMOPATHOGENIC FUNGI
1. Beauveria bassiana
•Soft and breakable
•Dried and giving milky liquid
2. Nomouraea rileyi
•Yellow to brown spots on the integument
•Swelling of posterior abdominal segments
•Covered with pale green spores
3. Metarhizium anisopliae
Mummified
Hard
Covered olive green powdery mass of spores
4. Verticillium lecanii
Mummified
Hard
Covered filamentous white hyphae
6. ENTOMOPATHOGENIC PROTOZOA
Chronic effect, prolong the larval life and expose to the predators
and parasitoids and body becomes soft and breakable. Virulence
is 30 days
7. ENTOMOPATHOGENICRICKETTSIAE
•Lorsch disease: Rickettsiae melolanthe on lamellicorn beetle
•Blue disease: Rickettsiae popilliae on Japanese beetle, Popillia
japonica
Virulence: debilitative pathogen: it kills the insect in 30-90 days
indirectly
8. ENTOMOPATHOGENICRICKETTSIAE
Stomach poisons: Bacteria and Viruses
Contact poisons: Fungi
Contact and stomach: Nematode, Protozoa and Rickettsiae
Desirable attributes of entomopathogens
•Pathogen should be highly virulent able to cause disease in short
period
•It should have host specificity
•Cost effective and economical for its mass production
•Harmless to other forms of life (Safe to non target organisms)
•Rapid prevention of pest feeding