Gregor Mendel conducted experiments with pea plants in the 1860s to develop an understanding of heredity. He studied seven traits in pea plants and found that traits are passed to offspring through discrete factors, now called genes. His experiments led him to formulate the laws of inheritance, including the law of dominance, the law of segregation, and the law of independent assortment. Mendel's principles explained inheritance in a way that was ahead of scientific understanding at the time and formed the foundation of modern genetics.
Introduction
About Drosophila
Genome of Drosophila
Life cycle
Differentiation
Development of Drosophila
* Embryonic development
* Dorsal -ventral and
* Anterior posterior development
* Body segmentation
* Homeotic gene
Conclusion
Reference
Introduction
About Drosophila
Genome of Drosophila
Life cycle
Differentiation
Development of Drosophila
* Embryonic development
* Dorsal -ventral and
* Anterior posterior development
* Body segmentation
* Homeotic gene
Conclusion
Reference
Lampbrush chromosome,chromosomes structure.giant chromosomes lambrush chromos...Anand P P
this slide mainly deals with the special types of chromosomes .normally the large sized chromosomes is called as the giant chromosomes,it occur in some insects larval stage .it has several functions and structural modifications.
This ppt explains the different forms of giant chromosomes, polytene and lamp brush chromosomes, its structure and functions. It helps the Genetics, Human genetics and molecular biology, Genetic engineering, Entomology students to learn about the giant chromosomes.
Lampbrush chromosome,chromosomes structure.giant chromosomes lambrush chromos...Anand P P
this slide mainly deals with the special types of chromosomes .normally the large sized chromosomes is called as the giant chromosomes,it occur in some insects larval stage .it has several functions and structural modifications.
This ppt explains the different forms of giant chromosomes, polytene and lamp brush chromosomes, its structure and functions. It helps the Genetics, Human genetics and molecular biology, Genetic engineering, Entomology students to learn about the giant chromosomes.
Genetics: The study of heredity.
Heredity is the relations between successive generations.
Why do children look a little bit like their parents but also different?What is responsible for these similarities and differences? this slides try to explain why these things are happening.
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.
(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.
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.
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.
Richard's entangled aventures in wonderlandRichard 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.
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.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
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
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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
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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
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but are applicable to near-Earth observatories.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
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.
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.
insect taxonomy importance systematics and classification
Mendelian principles on inheritance
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Amity Institute of Biotechnology
ADVANCED CELL BIOLOGY AND GENETICS
MSB: 104
Credit Units: 03
Dr. Pallavi Singh Chauhan
Assistant Professor
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Mendelian principles on inheritance
• Our understanding of how inherited traits are passed between
generations comes from principles first proposed by Gregor
Mendel in 1866.
• Mendel worked on pea plants, but his principles apply to traits
in plants and animals – they can explain how we inherit our
eye colour, hair colour and even tongue-rolling ability.
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Gregor Mendel
Gregor Mendel (1822–1884) is known as the father of genetics. He proposed
the key laws of genetics from this work on inheritance of traits in peas in 1866.
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Inheritance in pea plants
• Mendel followed the inheritance of 7 traits in pea plants
(Pisum sativum). He chose traits that had 2 forms:
• Pea shape (round or wrinkled)
• Pea colour (yellow or green)
• Flower colour (purple or white)
• Flower position (terminal or axial)
• Plant height (tall or short)
• Pod shape (inflated or constricted)
• Pod colour (yellow or green).
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• Mendel began with pure-breeding pea plants because they
always produced progeny with the same characteristics as the
parent plant.
• Mendel cross-bred these pea plants and recorded the traits of
their progeny over several generations.
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• Mendel’s principles of inheritance
Key principles of genetics were developed from
Mendel’s studies on peas.
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Why was Pea Plant Selected for Mendel’s Experiments?
• He selected a pea plant for his experiments:
• The pea plant can be easily grown and maintained.
• They are naturally self-pollinating but can also be cross-
pollinated.
• It is an annual plant, therefore, many generations can be
studied within a short period of time.
• It has several contrasting characters.
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• Mendel conducted 2 main experiments to determine the laws
of inheritance. These experiments were:
• Monohybrid Cross Experiment
• Dihybrid Cross Experiment
• While experimenting, Mendel found that certain factors were
always being transferred down to the offspring in a stable way.
Those factors are now called genes i.e. genes can be called as
the units of inheritance.
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• Mendel experimented on a pea plant and considered 7 main
contrasting traits in the plants. Then, he conducted both the
experiments to determine the a forementioned inheritance
laws.
• A brief explanation of the two experiments is given below:
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Monohybrid Cross
• In this experiment, Mendel took two pea plants of opposite
traits (one short and one tall) and crossed them.
• He found the first generation offsprings were tall and called it
F1 progeny.
• Then he crossed F1 progeny and obtained both tall and short
plants in the ratio 3:1.
• Mendel even conducted this experiment with other contrasting
traits like green peas vs yellow peas, round vs wrinkled, etc. In
all the cases, he found that results were similar.
• From this, he formulated the laws of Segregation And
Dominance.
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Dihybrid Cross
• In a dihybrid cross experiment, Mendel considered two traits,
each having two alleles.
• He crossed wrinkled-green seed and round-yellow seeds and
observed that all the first generation progeny (F1 progeny)
were round-yellow.
• This meant that dominant traits were the round shape and
yellow colour.
• He then self-pollinated the F1 progeny and obtained 4 different
traits wrinkled-yellow, round-yellow, wrinkled-green seeds
and round-green in the ratio 9:3:3:1.
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Conclusions from Mendel’s Experiments
• The genetic makeup of the plant is known as the genotype. On
the contrary, the physical appearance of the plant is known as
phenotype
• The genes are transferred from parents to the offsprings in
pairs known as allele.
• During gametogenesis when the chromosomes are halved,
there is a 50% chance of one of the two alleles to fuse with the
other parent.
• When the alleles are same they are known as homozygous
alleles when the alleles are different they are known as
heterozygous alleles.
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Mendel’s laws
• The two experiments lead to the formulation of Mendel’s laws
known as laws of inheritance which are:
• Law of Dominance
• Law of Segregation
• Law of Independent Assortment
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Law of Dominance
• Mendel found that paired pea traits were either dominant or
recessive.
• When pure-bred parent plants were cross-bred, dominant traits
were always seen in the progeny, whereas recessive traits were
hidden until the first-generation (F1) hybrid plants were left to
self-pollinate.
• Mendel counted the number of second-generation (F2)
progeny with dominant or recessive traits and found a 3:1 ratio
of dominant to recessive traits.
• He concluded that traits were not blended but remained
distinct in subsequent generations, which was contrary to
scientific opinion at the time.
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Law of Segregation
• Mendel proposed that, during reproduction, the inherited
factors must separate into reproductive cells.
• He had observed that allowing hybrid pea plants to self-
pollinate resulted in progeny that looked different from their
parents.
• Separation occurs during meiosis when the alleles of each gene
segregate into individual reproductive cells (eggs and sperm in
animals, or pollen and ova in plants).
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Principle of independent assortment
• Mendel observed that, when peas with more than one trait
were crossed, the progeny did not always match the parents.
This is because different traits are inherited independently –
this is the principle of independent assortment.
• For example, he cross-bred pea plants with round, yellow
seeds and plants with wrinkled, green seeds.
• Only the dominant traits (yellow and round) appeared in the
F1 progeny, but all combinations of trait were seen in the self-
pollinated F2 progeny.
• The traits were present in a 9:3:3:1 ratio (round, yellow: round,
green: wrinkled, yellow: wrinkled, green).
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Exceptions to Mendel’s rules
• There are some exceptions to Mendel’s principles, which have
been discovered as our knowledge of genes and inheritance
has increased.
• The principle of independent assortment doesn’t apply if the
genes are close together (or linked) on a chromosome.
• Also, alleles do not always interact in a standard
dominant/recessive way, particularly if they are codominant or
have differences in expressivity or penetrance.
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• Penetrance is used to describe whether or not there is a clinical
expression of the genotype in the individual.
• Expressivity is the term that describes the differences observed
in the clinical phenotype between two individuals with the
same genotype.
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Key Points on Mendel’s Laws
• The law of inheritance was proposed by Gregor Mendel after
conducting experiments on pea plants for seven years.
• The Mendel’s laws of inheritance include law of dominance,
law of segregation and law of independent assortment.
• The law of segregation states that every individual possesses
two alleles and only one allele is passed on to the offspring.
• The law of independent assortment states that the inheritance
of one pair of genes is independent of inheritance of another
pair.
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