Vernalization is the process by which flowering is promoted through a cold treatment given to hydrated seeds or growing plants. Cold exposure cuts short the vegetative period, resulting in early flowering. Two main theories explain vernalization's mechanism: the phasic development theory proposes cold exposure accelerates plant development phases, while hormonal theories suggest cold induces a floral hormone called vernalin. Epigenetic changes in gene expression from cold exposure may also play a role, stably altering flowering gene expression even after the cold is removed. Vernalization has practical applications in agriculture by promoting early flowering, increasing disease resistance, and aiding crop improvement.
photoperiodism its discovery,significance,classifications,mechanism,critical day length,quality of light, night break phenomenon,phytochrome.florigen,floering genes, circadian rhythm
Everything about photoperiodism from scratch to smart, from the oldest models to the latest models as well as proposed one, exclusive and elusive illustrations and models for proper understanding
intro-hostory and discovery-characteristics of phytochrome-chemical nature of phytochrome-mode of action-mechanism-phytochrome mediated physiological responses-phytochrome is a pigment system:some evidences-role of phytochrome
photoperiodism its discovery,significance,classifications,mechanism,critical day length,quality of light, night break phenomenon,phytochrome.florigen,floering genes, circadian rhythm
Everything about photoperiodism from scratch to smart, from the oldest models to the latest models as well as proposed one, exclusive and elusive illustrations and models for proper understanding
intro-hostory and discovery-characteristics of phytochrome-chemical nature of phytochrome-mode of action-mechanism-phytochrome mediated physiological responses-phytochrome is a pigment system:some evidences-role of phytochrome
Self-incompatibility refers to the inability of a plant with functional pollen to set seeds when self pollinated. It is the failure of pollen from a flower to fertilize the same flower or other flowers of the same plant.
This presentation includes, Single-locus self-incompatibility- {Gametophytic self-incompatibility (GSI) and Sporophytic self-incompatibility (SSI)},2-locus gametophytic self-incompatibility, Heteromorphic self-incompatibility,Cryptic self-incompatibility (CSI) and Late-acting self-incompatibility (LSI).
molecular and genetic analysis of floral induction is an integrated approach, taking into consideration various genes involved in the four major pathways of flowering process
Self-incompatibility refers to the inability of a plant with functional pollen to set seeds when self pollinated. It is the failure of pollen from a flower to fertilize the same flower or other flowers of the same plant.
This presentation includes, Single-locus self-incompatibility- {Gametophytic self-incompatibility (GSI) and Sporophytic self-incompatibility (SSI)},2-locus gametophytic self-incompatibility, Heteromorphic self-incompatibility,Cryptic self-incompatibility (CSI) and Late-acting self-incompatibility (LSI).
molecular and genetic analysis of floral induction is an integrated approach, taking into consideration various genes involved in the four major pathways of flowering process
Flowering is an essential part of a plant's life cycle, and getting the timing and placement of flowering right can mean the difference between making lots of seeds for the next generation (success!) and none at all (EPIC fail). In this lesson, students will explore the genes that help Arabidopsis plants decide that it's time to make flowers. Once a plant makes the decision to flower, other genes must signal the right parts of the plants to develop into flowers. When this signaling is interrupted, very strange things can happen! Stay tuned to find out more about this lesson.
STRI talk, long-term ecosystem development and plant diversityelalib
Presentation of research programme on long-term soil/ecosystem development and patterns of plant species diversity. Tupper Seminar, Smithsonian Tropical Research Institute (STRI), Panama. Jan 8, 2013.
Introduction:
Vernalization is the process whereby flowering is promoted by a cold treatment given to a fully hydrated seed or to a growing plant.
Dry seeds do not respond to the cold treatment.
Due to vernalization, the vegetative period of the plant is cut short resulting in an early flowering.
Also called yarovization.
Without the cold treatment, plants that require vernalization show delayed flowering or remain vegetative.
In many cases, these plants grow as rosettes with no elongation of the stem.
History:
Klippart,1857- first noticed the low-temperature requirement for flowering while working with winter wheat and spring wheat.
Lysenko,1938-used the term vernalization for a low-temperature promotion of flowering in plants.
Chourad ,1960- defined vernaliZation as “acquisition or acceleration of the ability to flower by a chilling treatment”.
Vernalization
For vernalization the seeds are allowed to germinate for some time and then are given cold treatment from 0 ̊C to 5 ̊C.
The period of cold treatment, varies from few days to many weeks.
After the cold treatment the seedlings are allowed to dry for some time and then sown.
Vernalization prepares the plant for flowering.
The cold stimulus usually perceived by the apical meristems. But in some species, all dividing cells of roots and leaves may be the potential sites of vernalization eg. Leennario biennis.
Vernalization induces the plant to produce a hormone called vernalin. It was discovered by Melcher(1936).
The vernalization stimulus can be transmitted from one plant to another through grafting.
The age of the plant is an important factor in determining the responsiveness of the plant to the cold stimulus and it differs in different species.
The suitable temperatures for vernalization ranges between 1 to 6 ̊c.
At higher temperature from 7 ̊c onwards response of the plant is decreased.
A temperature of about 12 to 14 ̊c is most ineffective in vernalizing the plant.
The vernalization is an aerobic process and requires metabolic energy.
In the absence of oxygen cold treatment becomes completely inefficient.
A sufficient amount of water is also essential.
Vernalization of dry seeds is not possible.
Factors affecting Vernalization:
Site of vernalization
Age of plants
Appropriate low temperature
Duration of exposure
Mechanism of vernalization:
Two theories..
1. Phasic development theory
2. Hormonal theories.
Epigenetic Changes in Gene Expression:
Vernalization May Involve Epigenetic Changes in Gene Expression.
Changes in gene expression that are stable even after the signal that induced the change (in this case cold) is removed are known as epigenetic regulation.
One model for how vernalization affects flowering is that there are stable changes in the pattern of gene expression in the meristem after cold treatment.
The involvement of epigenetic regulation in the vernalization process has been confirmed in the LDP Arabidopsis.
Annual plants is influenced by temperature for flowering is secondary to that of light.
Biennials and perennials remain vegetative during first growing season
After prolonged exposure to cold temperature of winter flowering occurs during following season.
Without cold exposure majority plants remain vegetative
the flowering process is the combined effect of environmental factors like light and temperature. vernalisation is the epigenetic memory that leads to genetic regulation of the process
Lecture 2 from Pat Heslop-Harrison for BS1003 - Cell and Developmental Biology. The transition to flowering. How do plants decide to flower? How do they respond to daylength (photoperiod) and temperature? For information from light, phytochrome is the photoreceptor, but not the clock/time measuring process. Pfr (phytochrome far red) is always the active form of phytochrome, but the function is different in long day plants and short day plants. Pfr promotes flowering in LDPs but inhibits flowering in SDPs.
Tuberization is a complex biological phenomenon of formation of tuber which is affected by genetic, environmental and nutritional factors.
This presentation is about tuberization of potato. Those who go through this, will definitely know about various aspects regarding tuberization of potato.
Photoperiodism is the phenomenon of physiological changes that occur in plants in
response to relative length of day and night (i.e. photoperiod). The response of the plants to
the photoperiod, expressed in the form of flowering is also called as photoperiodism. The
phenomenon of photoperiodism was first discovered by Garner and Allard (1920).Depending
upon the duration of photoperiod, the plants are classified into three categories.
1. Short day plants (SDP)
2. Long day plants (LDP)
3. Day neutral plants (DNP)
Vernalization is the induction of a plant's flowering process by exposure to the prolonged cold of winter, or by an artificial equivalent. After vernalization, plants have acquired the ability to flower, but they may require additional seasonal cues or weeks of growth before they will actually flower.The vernalization requirement ensures that plants do not flower in the fall when the environmental conditions are unfavorable for reproduction. The strength of the vernalization requirement can vary within plant species.
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.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
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.
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.
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.
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.
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 .
2. • Vernalization is the process whereby flowering is promoted by a cold
treatment given to a fully hydrated seed or to a growing plant.
• Dry seeds do not respond to the cold treatment.
• Due to vernalization the vegetative period of the plant is cut short resulting in
an early flowering.
• Also called as yarovization.
• Without the cold treatment, plants that require vernalization show delayed
flowering or remain vegetative.
• In many cases these plants grow as rosettes with no elongation of the stem.
3.
4. History
• Klippart,1857- first noticed the low temperature requirement for
flowering while working with winter wheat and spring wheat.
• Lysenko,1938-used the term vernalization for a low temperature
promotion of flowering in plants.
• Chourad ,1960- defined vernaliation as “acquisition or acceleration of the
ability to flower by a chilling treatment”.
5. Vernalization
• For vernalization the seeds are allowed to germinate for some time and
then are given cold treatment 0̊C to 5̊C.
• The period of cold treatment varies from few days to many weeks.
• After the cold treatment the seedlings are allowed to dry for sometime
and then sown.
• Vernalization prepares the plant for flowering.
• The cold stimulus usually perceived by the apical meistems.but in some
species all dividing cells of roots and leaves may be the potential sites of
vernalization eg.Leennario biennis.
6. • Vernaliztion induces the plant to produce a hormone called vernalin.It was
discovered by Melcher(1936).
• The vernalization stimulus can be transmitted from one plant to another
through graphting.
• The age of the plant is an important factor in determining the responsiveness
of the plant to the cold stimulus and it differs in different species.
• The suitable temperature for vernalization ranges between 1 to 6̊c.
• At higher temperature from 7̊c onwards response of the plant is decreased.
• A temperature of about 12 to 14̊c is most ineffective in vernalizing th plant.
7. • The vernalization is an aerobic process and requires metabolic energy.
• In the absence of oxygen cold treatment becomes completely inefficient.
• Sufficient amount of water is also essential.
• Vernalization of dry seeds is not possible.
9. Phasic development theory
• Proposed by Lysenko in 1934.
• According to this theory there is a series of phases in the development of
a plant.
• Each phase is stimulated by an environmental factor such as
temperature,light,etc.
• Commencement of one phase will take place only after the completion of
the proceeding phase.
• There are two phases
• 1.Thermophase
• 2.Photophase
• Thermophase depends on temperature.vernalization accelerates
thermophase.
• Thermophase should be followed by photophase which requires light.
10. Hormonal theories
• Melcher (1939)
• He proposed that chlling treatment induces the formation of a new floral
hormone called vernalin.
• This hormone is transmitted to other parts of the plant.
• He graphted a vernalized plant with an unvernalized plant.
• The unvernalized plant also initiates flowering.
• The hormone,vrnalin diffuses from the vernalized plant to the
unvernalized plant and induces flowering.
11. Epigenetic Changes in Gene Expression
• Vernalization May Involve Epigenetic Changes in Gene Expression.
• Changes in gene expression that are stable even after the signal that induced the
change (in this case cold) is removed are known as epigenetic regulation.
• One model for how vernalization affects flowering is that there are stable
changes in the pattern of gene expression in the meristem after cold treatment.
• The involvement of epigenetic regulation in the vernalization process has been
confirmed in the LDP Arabidopsis.
• A gene that acts as a repressor of flowering has been identified: FLOWERING
LOCUS C (FLC). FLC is highly expressed in nonvernalized shoot apical meristems
(Michaels and Amasino 2000).
• After vernalization, this gene is epigenetically switched off by an unknown
mechanism for the remainder of the plant’s life cycle.
12.
13. Devernalization
• The reversion of vernalization by high temperature treatment is called
devernalization.
• Devernalization is effected by treating the vernalized seeds or buds with
high temperature.
• Lang et al (1957) demonstrated that application of gibberlins can replace
the cold treatment for vernalization in certain biennial plants.
14. Practical applications
• Due to vernalization the vegetative period of the plant is cut short resulting in
an early flowering.
• Vernalization increases the resistance of plants to fungal diseases.
• It increases the cold resistance of plants.
• In the biennials,vernalization induces early flowering and early fruit setting.
• Flowering can be induced by graphting and this feature is used in horticulture.
• It also helps in crop improvement.