SlideShare une entreprise Scribd logo
1  sur  62
Ecology
Big Ideas
Energy
• Energy flows through every ecological system
– Inputs = what goes into the ecosystem
– Outputs = what goes out of the system
Food Webs
• Increased
biodiversity
means a
healthier
ecosystem
Energy Transfer between
Trophic Levels
• 10% Energy Transfer
• Producers make up largest biomass
Bioaccumulations
• Toxins cannot be
removed and
increase in amount
between trophic
levels
Carbon Cycle
• Cyclescarbon through the ecosystem
• Contains photosynthesis and cellular respiration
– Opposite chemical reactions
Nitrogen Cycle
• Cycles nitrogen
through the system
• Bacteria takes
nitrogen from the
atmosphere and
transfers it to
plants
Population Growth
• Populations will grow exponentially if there
are no limitingfactors
Population Growth
• Populations will reach carryingcapacity
because of limiting factors which include:
– Abiotic (non-living)
• Space & Water
– Biotic (living)
• Food & Predators
Population Density
• Population Densityis the number of living
things in an area
– Example:
• 500 moose in 10 sq. miles = 50 moose per mile
General Ecology
• Non-native species usually DIE in a new
environment, some survive and take over if
they have no predators
Sustainability
• Maintaining resources for future use
• Choices we can make now that support
sustainability
– Substituting renewable (?) for non-renewable (?)
resources
– Recycling
– Using fewer resources
Macromolecules
• Carbohydrates: made of simple sugar units
glucose, galactose, fructose
• Lipids: fats, etc.
– Triglycerides made of glycerol
& 3 fatty acid tails
– Phospholipids made of
phosphate head & 2 fatty
acid tails
Macromolecules
• Proteins: made of amino acids
• Nucleic Acids – DNA & RNA: made of
nucleotides
Cell Structure & Function
Big Ideas
Main Cell Types
• Prokaryotes – no nucleus, nucleoid region of
DNA; bacteria
• Eukaryotes – DNA contained in nucleus,
membrane bound organelles; everything
except bacteria
Key Cell Components/Organelles
• Nucleus – DNA
• Ribosomes – Site of Protein Synthesis
• Endoplasmic Reticulum – assembly of lipids & finishing
work on proteins, etc.
• Golgi Apparatus – modifies, sorts and packages
proteins, etc. from ER for storage or release to outside
of cell.
• Mitochondria – breakdown of glucose into ATP
• Chloroplasts – convert sun energy into sugars
• Vacuoles & Vesicles – storage/movement of water, etc.
• Lysosomes – bread down of macromolecules and old
organelles.
Cell Boundaries & Movement of
Materials Across Them
• Cell wall – rigid structure outside cell
membrane for support, protection; found in
bacteria, fungi, plants
• Cell membrane – flexible barrier between
inside and outside of the cell
– Composed of phospholipidbilayer, proteins
– Selectively permeable – allows some things
in/out, but not others.
Cell Transport
• Passive Transport – no cellular energy used
– Diffusion – movement of materials from high to low
concentration
– Facilitated diffusion – diffusion of molecules through
protein channels (not directly through membrane)
– Osmosis – movement of water from high to low
concentration across a membrane (facilitated)
• Active Transport - requires cellular energy
– Movement of materials across the membrane from
low to high concentration
Photosynthesis and Cellular
Respiration
Big Ideas
Photosynthesis & Cellular Respiration
• Photosynthesis and cellular respiration are
opposite chemical reactions
• Photosynthesis: plants take carbondioxide
(CO2) and water (H2O) and make glucose
(C6H12O6) and oxygen (O2)
– Plants make their own food!!!!!!!!!!!!!!!!
• Cellular Respiration: plants AND animals make
energy (ATP) by transforming glucose
(C6H12O6)and oxygen (O2) into carbondioxide
(CO2) and water (H2O)
– CHEMICAL Energy in glucose is transformed into
the energy to live (ATP)
– Very similar to setting something on fire
(combustion), which releases carbon dioxide (CO2)
into the atmosphere
Be able to trace the path of a carbon atom
from air through photosynthesis,
cellular respiration and back to the air
Mitosis and Meiosis
Big Ideas
Mitosis & Meiosis
• Division of Chromosomes in a cell
• Chromosomes are made of DNA
• DNA is replicated (copied) before each process
• Each chromosome contains many sections of
DNA called genes which contain the code for a
protein
Mitosis
• Mitosis: produces twoIDENTICAL cells from
one cell for growth and repair of body cells
• 2N cells produce 2N cells
Meiosis
• Meiosis: produces four UNIQUE sex cells for
reproduction
• Each cell is 1N – ½ the chromosomes of the body
cells
– Females: Eggs
– Males: Sperm
• Allows for differences (variation) in populations
• Fertilization restores the 2N number in offspring
Mitosis and Meiosis
DNA and Genetics
Big Ideas
DNA: deoxyribonucleic acid; is a code for your
physical (phenotype) traits
- PHYSICAL
TRAIT
DNA & Genetics
Traits
• Proteins: can be used to make
bodystructures, hormones and enzymes
– Enzymes act to speedup (catalyze) chemical
reactions in the body
• Ex. Digestion of food, making DNA, and regulating
glucose
GeneticsVocabulary
• Phenotype: What your physically look like
• Ex. Blue Eyes OR Brown Eyes
• Genotype: What your genesare
• Ex. Bb, bb, or BB
Vocabulary
• Dominant:Trait/gene that is shown
• Ex. BB = Brown EyesBb = Brown Eyes
• Recessive: Trait/gene that is hidden by a
dominant gene
• Ex. bb = Blue Eyes Bb = Brown Eyes
Vocabulary
• Heterozygous: different genes
– Ex. Bb for Brown Eyes
• Homozygous: same genes
– Ex. bb for Blue Eyes
• PunnettSquare: used to predict offspring
– Ex. Two heterozygous bunnies are crossed; black fur is
the dominant trait
– Phenotype ratio
• Ex. 25% white bunnies, 75% black bunnies
– Genotype ratio
• Ex. 25% bb, 50% Bb, 25% BB
F
F
f
f
FF Ff
Ff ff
Earlobes (E)
A detached earlobe man (EE) has children with an
attached earlobe woman (ee).
1) What are the possible genotypes (gene
combination)?
2) What are the possible phenotypes (physical trait)?
• A heterozygous tongue roller (Tt) mates with a
non-tongue roller (tt), what percentage of
their children will be tongue rollers?
• What is the percent chance two heterozygous
tongue roller will have a non-tongue roller
offspring?
Dihybrid crosses – chance of inheriting 2 traits together
Cross 2 heterozygous for color and height
(Green & Tall are dom; Yellow & Short are rec.)
TTGG TtGG TTGg TtGg
TtGG ttGG TtGg ttGg
TTGg TtGg TTgg Ttgg
TtGg ttGg Ttgg ttgg
TG tGTgtg
TG
tG
Tg
tg
Red = tall
Black= short
Protein Synthesis
• Transcription
– The code in DNA is copied into mRNA
– This nucleotide sequence determines the sequence of amino
acids in the protein.
– mRNA leaves the nucleus and forms a “protein factory”
complex with rRNA called a ribosome.
• Translation
– The nucleotide sequence in mRNA is read 3 nucleotides at a
time – a codon.
– Each codon corresponds to a specific amino acid.
– tRNA brings the needed amino acid to the ribosome.
– The amino acids are bonded together to form a protein.
Transcription Translation
Evolution
Big Ideas
Evolution
• Evolution: change over time
All living things are related
to a
COMMON ANCESTOR!!!
Evidence of Evolution
• Evidence:
1. Presence of Fossils found in rock layers
1. Homologous and Vestigial Structures
• Homologous: Similar Structures
• Vestigial: Unused structures; whale pelvis, human
wisdom teeth
Fossil Record Homologous Structures
Evidence of Evolution
3. DNA Comparisons
• Humans and mice are 99% similar in DNA, so they are
closely related
4. Embryos
• Closely related organisms have similar embryos
DNA Comparisons Embryos
Natural Selection
• Natural Selection: “survival of the fittest,
failure of the worst”
– Over reproduction sets up a struggle for existence
– Natural selection selects for variations in the
population (result of mutation & sexual
reproduction( that are adaptive
– The “goal” of life is to
survive and reproduce
(pass adaptive genes to
next generation)
• Mutations in DNA: can (not always) lead to
unique traits, which may help or hinder
survival!!
Organism Environment Unique Trait
Bunny Rabbit Winter
Cactus Desert
Cheetah African Savanna
Chameleon Jungle
Peacock Mating Season
Mutations
Balancing Biological Systems
Homeostasis
• Homeostasis: regulation of systems to
maintain balance
• Two things can affect homeostasis
– Negative Feedback
– Positive Feedback
Negative Feedback
• Negative Feedback: increase causes decrease,
decrease causes increase
– Ex. AutomaticThermostat: if temperature
decreases in room, then the temperature
increases
–Negative ≠ bad
• Positive Feedback: increase causes increase;
decrease causes decrease
– Ex. No shower for 2 weeks: smell from bacteria
growth increases on a daily basis
• Positive ≠ good
Positive Feedback
Negative or Positive Feedback??
Deforestation
Regulating Body
Temperature (too
hot OR cold)
Immune System
Fighting Infection
Body is
Hungry
P
P
N
N
Choose two examples to complete a Negative
Feedback Loop AND a Positive Feedback Loop
• Identify what HOMEOSTASIS would be
• Explain the STIMULUS that tells us
homeostasis is not in balance
• Identify the CONTROLCENTER in the body (if
there is one) that recognizes the stimulus
• Explain what RESPONSE occurs
Other System Examples
• Boundaries, inputs and outputs in an ecosystem
(energy, biogeochemical cycles, population
dynamics, etc.)
• Interaction of enzymes, substrates and products
in biochemical pathway
• Organ systems
Scientific Method
• Reliability –
– Increased by repeating an investigation = more trials
• Validity –
– Increased by:
• Adding more controlled variables
• Improving measuring technique
• Controlling for sample bias
• Including an experimental control group
Different types of investigations
• Controlled experiments
– A lab investigation in which the values of all variables are kept the
same except for one that is changed from experiment to
experiment (manipulated variable) and one that is measured
(responding variable).
– Have experimental and control groups
– Include at least 3 levels of manipulated variable (if measuring
effect of fertilizer on plant growth, use 10 g., 20 g. and 30 g. of
fertilizer on different plants)
– Include at least 3 trials for each condition (can be repetitions or
more subjects).
• Field study
– A scientific study of free-living plants or animals in which the
subjects are observed in their natural habitat without changing,
harming, or altering the setting or subjects.
– No experimental and control groups
– May include sampling, observation, etc.

Contenu connexe

Tendances

B2 revision powerpoint
B2 revision powerpointB2 revision powerpoint
B2 revision powerpointHannah Evans
 
Genetics & mutations (every thing about DNA & Genes &Mutations )
Genetics & mutations (every thing about DNA & Genes &Mutations )Genetics & mutations (every thing about DNA & Genes &Mutations )
Genetics & mutations (every thing about DNA & Genes &Mutations )Hanan Ez
 
GCSE IGCSE Biology by Syllabus points
GCSE IGCSE Biology by Syllabus pointsGCSE IGCSE Biology by Syllabus points
GCSE IGCSE Biology by Syllabus pointsMarc Rodriguez
 
NC Biology EOC Review
NC Biology EOC Review NC Biology EOC Review
NC Biology EOC Review Gena Barnhardt
 
Bioc4700 2014 Guest Lecture
Bioc4700   2014 Guest LectureBioc4700   2014 Guest Lecture
Bioc4700 2014 Guest LectureDan Gaston
 
Biology eoc review (with extra questions) jan 2015
Biology eoc review (with extra questions) jan 2015Biology eoc review (with extra questions) jan 2015
Biology eoc review (with extra questions) jan 2015mstockdale
 
Topic Five: Genetics
Topic Five: GeneticsTopic Five: Genetics
Topic Five: GeneticsBob Smullen
 
Protein Evolution: Structure, Function, and Human Health
Protein Evolution: Structure, Function, and Human HealthProtein Evolution: Structure, Function, and Human Health
Protein Evolution: Structure, Function, and Human HealthDan Gaston
 
Biology review.ppt
Biology review.pptBiology review.ppt
Biology review.pptbhoff31
 
B1 and b2 revision
B1 and b2 revisionB1 and b2 revision
B1 and b2 revisionSpoonzy
 
1 universal features of life on earth
1 universal features of life on earth1 universal features of life on earth
1 universal features of life on earthEmmanuel Aguon
 
Characteristic of life
Characteristic of lifeCharacteristic of life
Characteristic of lifetracyconover
 
Genome evolution discussion questions
Genome evolution discussion questionsGenome evolution discussion questions
Genome evolution discussion questionsabhiagphd
 

Tendances (20)

B2 revision powerpoint
B2 revision powerpointB2 revision powerpoint
B2 revision powerpoint
 
Genetics & mutations (every thing about DNA & Genes &Mutations )
Genetics & mutations (every thing about DNA & Genes &Mutations )Genetics & mutations (every thing about DNA & Genes &Mutations )
Genetics & mutations (every thing about DNA & Genes &Mutations )
 
Cell organelles2012
Cell organelles2012Cell organelles2012
Cell organelles2012
 
Eoc review ppt
Eoc review pptEoc review ppt
Eoc review ppt
 
GCSE IGCSE Biology by Syllabus points
GCSE IGCSE Biology by Syllabus pointsGCSE IGCSE Biology by Syllabus points
GCSE IGCSE Biology by Syllabus points
 
NC Biology EOC Review
NC Biology EOC Review NC Biology EOC Review
NC Biology EOC Review
 
Bioc4700 2014 Guest Lecture
Bioc4700   2014 Guest LectureBioc4700   2014 Guest Lecture
Bioc4700 2014 Guest Lecture
 
Biology eoc review (with extra questions) jan 2015
Biology eoc review (with extra questions) jan 2015Biology eoc review (with extra questions) jan 2015
Biology eoc review (with extra questions) jan 2015
 
Topic Five: Genetics
Topic Five: GeneticsTopic Five: Genetics
Topic Five: Genetics
 
B1 poster summary_
B1 poster summary_B1 poster summary_
B1 poster summary_
 
Protein Evolution: Structure, Function, and Human Health
Protein Evolution: Structure, Function, and Human HealthProtein Evolution: Structure, Function, and Human Health
Protein Evolution: Structure, Function, and Human Health
 
TAKS Objective 2
TAKS Objective 2TAKS Objective 2
TAKS Objective 2
 
Biology review.ppt
Biology review.pptBiology review.ppt
Biology review.ppt
 
B1 and b2 revision
B1 and b2 revisionB1 and b2 revision
B1 and b2 revision
 
Evolution
Evolution Evolution
Evolution
 
1 universal features of life on earth
1 universal features of life on earth1 universal features of life on earth
1 universal features of life on earth
 
Cloning
CloningCloning
Cloning
 
Characteristic of life
Characteristic of lifeCharacteristic of life
Characteristic of life
 
Introduction to cloning
Introduction to cloningIntroduction to cloning
Introduction to cloning
 
Genome evolution discussion questions
Genome evolution discussion questionsGenome evolution discussion questions
Genome evolution discussion questions
 

En vedette

Poster59: Identification of waterlogging tolerant Brachiaria hybrids
Poster59: Identification of waterlogging tolerant Brachiaria hybrids Poster59: Identification of waterlogging tolerant Brachiaria hybrids
Poster59: Identification of waterlogging tolerant Brachiaria hybrids CIAT
 
01 Replication and Division of Nuclei and Cells
01 Replication and Division of Nuclei and Cells01 Replication and Division of Nuclei and Cells
01 Replication and Division of Nuclei and CellsJaya Kumar
 
Food Miles - A Case Study
Food Miles - A Case StudyFood Miles - A Case Study
Food Miles - A Case StudyKelly Kokaisel
 
Ecogeographical approaches to characterize CWR adaptive traits useful for cro...
Ecogeographical approaches to characterize CWR adaptive traits useful for cro...Ecogeographical approaches to characterize CWR adaptive traits useful for cro...
Ecogeographical approaches to characterize CWR adaptive traits useful for cro...Txema Iriondo
 
03 Methods to Improve Crops
03 Methods to Improve Crops03 Methods to Improve Crops
03 Methods to Improve CropsJaya Kumar
 
Genetic manipulation of stay-green traits for croop imporvement
Genetic manipulation of stay-green traits for croop imporvement Genetic manipulation of stay-green traits for croop imporvement
Genetic manipulation of stay-green traits for croop imporvement Shantanu Das
 
Dissecting water-saving traits in pulses
Dissecting water-saving traits  in pulses Dissecting water-saving traits  in pulses
Dissecting water-saving traits in pulses ICARDA
 
Measuring and mapping canopy traits from the lab to the field: sun-induced fl...
Measuring and mapping canopy traits from the lab to the field: sun-induced fl...Measuring and mapping canopy traits from the lab to the field: sun-induced fl...
Measuring and mapping canopy traits from the lab to the field: sun-induced fl...CIMMYT
 
Green house solor cost breakdown
Green house solor cost breakdownGreen house solor cost breakdown
Green house solor cost breakdownUltimate Water inc.
 
Wheat and climate change
Wheat and climate changeWheat and climate change
Wheat and climate changeCIMMYT
 
THEME – 0 Targeted search for crop germplasm with climate change adaptive tra...
THEME – 0 Targeted search for crop germplasm with climate change adaptive tra...THEME – 0 Targeted search for crop germplasm with climate change adaptive tra...
THEME – 0 Targeted search for crop germplasm with climate change adaptive tra...ICARDA
 
Can changes in root anatomical traits during stress enhance drought & Salini...
Can changes in root anatomical traits during stress enhance drought &  Salini...Can changes in root anatomical traits during stress enhance drought &  Salini...
Can changes in root anatomical traits during stress enhance drought & Salini...kabeya
 
Mechanisms of adaptation to drought and waterlogging in Brachiaria grasses
Mechanisms of adaptation to drought and waterlogging in Brachiaria grassesMechanisms of adaptation to drought and waterlogging in Brachiaria grasses
Mechanisms of adaptation to drought and waterlogging in Brachiaria grassesCIAT
 

En vedette (20)

NEW.doc
NEW.docNEW.doc
NEW.doc
 
Poster59: Identification of waterlogging tolerant Brachiaria hybrids
Poster59: Identification of waterlogging tolerant Brachiaria hybrids Poster59: Identification of waterlogging tolerant Brachiaria hybrids
Poster59: Identification of waterlogging tolerant Brachiaria hybrids
 
Mainstreaming ‘climate-smart’ into communicating rice science
Mainstreaming ‘climate-smart’ into communicating rice scienceMainstreaming ‘climate-smart’ into communicating rice science
Mainstreaming ‘climate-smart’ into communicating rice science
 
Achieving food security in the face of climate change
Achieving food security in the face of climate changeAchieving food security in the face of climate change
Achieving food security in the face of climate change
 
01 Replication and Division of Nuclei and Cells
01 Replication and Division of Nuclei and Cells01 Replication and Division of Nuclei and Cells
01 Replication and Division of Nuclei and Cells
 
Food Miles - A Case Study
Food Miles - A Case StudyFood Miles - A Case Study
Food Miles - A Case Study
 
Developing sound climate-smart strategies based on zoom-ins
Developing sound climate-smart strategies based on zoom-insDeveloping sound climate-smart strategies based on zoom-ins
Developing sound climate-smart strategies based on zoom-ins
 
Ecogeographical approaches to characterize CWR adaptive traits useful for cro...
Ecogeographical approaches to characterize CWR adaptive traits useful for cro...Ecogeographical approaches to characterize CWR adaptive traits useful for cro...
Ecogeographical approaches to characterize CWR adaptive traits useful for cro...
 
22-Feb-2013 - Sam North - Salinity tolerance of Australian rice cultivars
22-Feb-2013 - Sam North - Salinity tolerance of Australian rice cultivars22-Feb-2013 - Sam North - Salinity tolerance of Australian rice cultivars
22-Feb-2013 - Sam North - Salinity tolerance of Australian rice cultivars
 
03 Methods to Improve Crops
03 Methods to Improve Crops03 Methods to Improve Crops
03 Methods to Improve Crops
 
Genetic manipulation of stay-green traits for croop imporvement
Genetic manipulation of stay-green traits for croop imporvement Genetic manipulation of stay-green traits for croop imporvement
Genetic manipulation of stay-green traits for croop imporvement
 
Learning Event No 8, Session 2 from Agriculture and Rural Development Day (AR...
Learning Event No 8, Session 2 from Agriculture and Rural Development Day (AR...Learning Event No 8, Session 2 from Agriculture and Rural Development Day (AR...
Learning Event No 8, Session 2 from Agriculture and Rural Development Day (AR...
 
Dissecting water-saving traits in pulses
Dissecting water-saving traits  in pulses Dissecting water-saving traits  in pulses
Dissecting water-saving traits in pulses
 
Measuring and mapping canopy traits from the lab to the field: sun-induced fl...
Measuring and mapping canopy traits from the lab to the field: sun-induced fl...Measuring and mapping canopy traits from the lab to the field: sun-induced fl...
Measuring and mapping canopy traits from the lab to the field: sun-induced fl...
 
Green house solor cost breakdown
Green house solor cost breakdownGreen house solor cost breakdown
Green house solor cost breakdown
 
Wheat and climate change
Wheat and climate changeWheat and climate change
Wheat and climate change
 
Impact of climate change on wheat phenology in the NSW wheat belt - De Li Liu
Impact of climate change on wheat phenology in the NSW wheat belt - De Li LiuImpact of climate change on wheat phenology in the NSW wheat belt - De Li Liu
Impact of climate change on wheat phenology in the NSW wheat belt - De Li Liu
 
THEME – 0 Targeted search for crop germplasm with climate change adaptive tra...
THEME – 0 Targeted search for crop germplasm with climate change adaptive tra...THEME – 0 Targeted search for crop germplasm with climate change adaptive tra...
THEME – 0 Targeted search for crop germplasm with climate change adaptive tra...
 
Can changes in root anatomical traits during stress enhance drought & Salini...
Can changes in root anatomical traits during stress enhance drought &  Salini...Can changes in root anatomical traits during stress enhance drought &  Salini...
Can changes in root anatomical traits during stress enhance drought & Salini...
 
Mechanisms of adaptation to drought and waterlogging in Brachiaria grasses
Mechanisms of adaptation to drought and waterlogging in Brachiaria grassesMechanisms of adaptation to drought and waterlogging in Brachiaria grasses
Mechanisms of adaptation to drought and waterlogging in Brachiaria grasses
 

Similaire à Ecology & Cell Biology Concepts

Bio EOC Concept Notebook
Bio EOC Concept NotebookBio EOC Concept Notebook
Bio EOC Concept NotebookPoinciana High
 
Benchmark 4 review
Benchmark 4 reviewBenchmark 4 review
Benchmark 4 reviewfarrellw
 
Biology2 120721041928-phpapp02
Biology2 120721041928-phpapp02Biology2 120721041928-phpapp02
Biology2 120721041928-phpapp02cpugh5345
 
What is life biology, science, and how we study things.
What is life biology, science, and how we study things.What is life biology, science, and how we study things.
What is life biology, science, and how we study things.lumenalexis
 
Genetics Chapter 1.pptx
Genetics Chapter 1.pptxGenetics Chapter 1.pptx
Genetics Chapter 1.pptxXudeyfiHasan
 
Genetics Chapter 1.pptx
Genetics Chapter 1.pptxGenetics Chapter 1.pptx
Genetics Chapter 1.pptxSaalimCadde
 
perpetuation-161023195108.pdf
perpetuation-161023195108.pdfperpetuation-161023195108.pdf
perpetuation-161023195108.pdframoncarloalano
 
1.+the+process+of+science,+bio+101+fall+2014
1.+the+process+of+science,+bio+101+fall+20141.+the+process+of+science,+bio+101+fall+2014
1.+the+process+of+science,+bio+101+fall+2014Lumen Learning
 
Biology revision for B1
Biology revision for B1Biology revision for B1
Biology revision for B1Louisatom
 
Cell metabolism, growth, reproduction
Cell metabolism, growth, reproductionCell metabolism, growth, reproduction
Cell metabolism, growth, reproductionMukul panchal
 
EB3107 1.0_The study of Life.ppt
EB3107 1.0_The study of Life.pptEB3107 1.0_The study of Life.ppt
EB3107 1.0_The study of Life.pptssuserf6532d
 
Biology review
Biology reviewBiology review
Biology reviewErin Mucci
 
Biology Review
Biology ReviewBiology Review
Biology ReviewErin Mucci
 
5 f40a74bc3e-1.-homeostasis
5 f40a74bc3e-1.-homeostasis5 f40a74bc3e-1.-homeostasis
5 f40a74bc3e-1.-homeostasisArosek Padhi
 
Topic 2: Cells
Topic 2: CellsTopic 2: Cells
Topic 2: CellsMackenzie
 

Similaire à Ecology & Cell Biology Concepts (20)

Bio EOC Concept Notebook
Bio EOC Concept NotebookBio EOC Concept Notebook
Bio EOC Concept Notebook
 
Benchmark 4 review
Benchmark 4 reviewBenchmark 4 review
Benchmark 4 review
 
Biology2 120721041928-phpapp02
Biology2 120721041928-phpapp02Biology2 120721041928-phpapp02
Biology2 120721041928-phpapp02
 
What is life biology, science, and how we study things.
What is life biology, science, and how we study things.What is life biology, science, and how we study things.
What is life biology, science, and how we study things.
 
Genetics Chapter 1.pptx
Genetics Chapter 1.pptxGenetics Chapter 1.pptx
Genetics Chapter 1.pptx
 
Genetics Chapter 1.pptx
Genetics Chapter 1.pptxGenetics Chapter 1.pptx
Genetics Chapter 1.pptx
 
perpetuation-161023195108.pdf
perpetuation-161023195108.pdfperpetuation-161023195108.pdf
perpetuation-161023195108.pdf
 
Perpetuation
PerpetuationPerpetuation
Perpetuation
 
1.+the+process+of+science,+bio+101+fall+2014
1.+the+process+of+science,+bio+101+fall+20141.+the+process+of+science,+bio+101+fall+2014
1.+the+process+of+science,+bio+101+fall+2014
 
Biology revision for B1
Biology revision for B1Biology revision for B1
Biology revision for B1
 
What is Life
What is LifeWhat is Life
What is Life
 
Cell metabolism, growth, reproduction
Cell metabolism, growth, reproductionCell metabolism, growth, reproduction
Cell metabolism, growth, reproduction
 
EB3107 1.0_The study of Life.ppt
EB3107 1.0_The study of Life.pptEB3107 1.0_The study of Life.ppt
EB3107 1.0_The study of Life.ppt
 
Processes Of Life
Processes Of LifeProcesses Of Life
Processes Of Life
 
Biology review
Biology reviewBiology review
Biology review
 
Biology Review
Biology ReviewBiology Review
Biology Review
 
Homeostasis bb
Homeostasis bbHomeostasis bb
Homeostasis bb
 
Biology sol review 2014
Biology sol review 2014Biology sol review 2014
Biology sol review 2014
 
5 f40a74bc3e-1.-homeostasis
5 f40a74bc3e-1.-homeostasis5 f40a74bc3e-1.-homeostasis
5 f40a74bc3e-1.-homeostasis
 
Topic 2: Cells
Topic 2: CellsTopic 2: Cells
Topic 2: Cells
 

Dernier

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 

Dernier (20)

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 

Ecology & Cell Biology Concepts

  • 2. Energy • Energy flows through every ecological system – Inputs = what goes into the ecosystem – Outputs = what goes out of the system
  • 4. Energy Transfer between Trophic Levels • 10% Energy Transfer • Producers make up largest biomass
  • 5. Bioaccumulations • Toxins cannot be removed and increase in amount between trophic levels
  • 6. Carbon Cycle • Cyclescarbon through the ecosystem • Contains photosynthesis and cellular respiration – Opposite chemical reactions
  • 7. Nitrogen Cycle • Cycles nitrogen through the system • Bacteria takes nitrogen from the atmosphere and transfers it to plants
  • 8. Population Growth • Populations will grow exponentially if there are no limitingfactors
  • 9. Population Growth • Populations will reach carryingcapacity because of limiting factors which include: – Abiotic (non-living) • Space & Water – Biotic (living) • Food & Predators
  • 10. Population Density • Population Densityis the number of living things in an area – Example: • 500 moose in 10 sq. miles = 50 moose per mile
  • 11. General Ecology • Non-native species usually DIE in a new environment, some survive and take over if they have no predators
  • 12. Sustainability • Maintaining resources for future use • Choices we can make now that support sustainability – Substituting renewable (?) for non-renewable (?) resources – Recycling – Using fewer resources
  • 13. Macromolecules • Carbohydrates: made of simple sugar units glucose, galactose, fructose • Lipids: fats, etc. – Triglycerides made of glycerol & 3 fatty acid tails – Phospholipids made of phosphate head & 2 fatty acid tails
  • 14. Macromolecules • Proteins: made of amino acids • Nucleic Acids – DNA & RNA: made of nucleotides
  • 15. Cell Structure & Function Big Ideas
  • 16. Main Cell Types • Prokaryotes – no nucleus, nucleoid region of DNA; bacteria • Eukaryotes – DNA contained in nucleus, membrane bound organelles; everything except bacteria
  • 17. Key Cell Components/Organelles • Nucleus – DNA • Ribosomes – Site of Protein Synthesis • Endoplasmic Reticulum – assembly of lipids & finishing work on proteins, etc. • Golgi Apparatus – modifies, sorts and packages proteins, etc. from ER for storage or release to outside of cell. • Mitochondria – breakdown of glucose into ATP • Chloroplasts – convert sun energy into sugars • Vacuoles & Vesicles – storage/movement of water, etc. • Lysosomes – bread down of macromolecules and old organelles.
  • 18. Cell Boundaries & Movement of Materials Across Them • Cell wall – rigid structure outside cell membrane for support, protection; found in bacteria, fungi, plants • Cell membrane – flexible barrier between inside and outside of the cell – Composed of phospholipidbilayer, proteins – Selectively permeable – allows some things in/out, but not others.
  • 19. Cell Transport • Passive Transport – no cellular energy used – Diffusion – movement of materials from high to low concentration – Facilitated diffusion – diffusion of molecules through protein channels (not directly through membrane) – Osmosis – movement of water from high to low concentration across a membrane (facilitated) • Active Transport - requires cellular energy – Movement of materials across the membrane from low to high concentration
  • 21. Photosynthesis & Cellular Respiration • Photosynthesis and cellular respiration are opposite chemical reactions
  • 22. • Photosynthesis: plants take carbondioxide (CO2) and water (H2O) and make glucose (C6H12O6) and oxygen (O2) – Plants make their own food!!!!!!!!!!!!!!!!
  • 23. • Cellular Respiration: plants AND animals make energy (ATP) by transforming glucose (C6H12O6)and oxygen (O2) into carbondioxide (CO2) and water (H2O) – CHEMICAL Energy in glucose is transformed into the energy to live (ATP) – Very similar to setting something on fire (combustion), which releases carbon dioxide (CO2) into the atmosphere
  • 24. Be able to trace the path of a carbon atom from air through photosynthesis, cellular respiration and back to the air
  • 26. Mitosis & Meiosis • Division of Chromosomes in a cell • Chromosomes are made of DNA • DNA is replicated (copied) before each process • Each chromosome contains many sections of DNA called genes which contain the code for a protein
  • 27. Mitosis • Mitosis: produces twoIDENTICAL cells from one cell for growth and repair of body cells • 2N cells produce 2N cells
  • 28. Meiosis • Meiosis: produces four UNIQUE sex cells for reproduction • Each cell is 1N – ½ the chromosomes of the body cells – Females: Eggs – Males: Sperm • Allows for differences (variation) in populations • Fertilization restores the 2N number in offspring
  • 31. DNA: deoxyribonucleic acid; is a code for your physical (phenotype) traits - PHYSICAL TRAIT DNA & Genetics
  • 32. Traits • Proteins: can be used to make bodystructures, hormones and enzymes – Enzymes act to speedup (catalyze) chemical reactions in the body • Ex. Digestion of food, making DNA, and regulating glucose
  • 33. GeneticsVocabulary • Phenotype: What your physically look like • Ex. Blue Eyes OR Brown Eyes • Genotype: What your genesare • Ex. Bb, bb, or BB
  • 34. Vocabulary • Dominant:Trait/gene that is shown • Ex. BB = Brown EyesBb = Brown Eyes • Recessive: Trait/gene that is hidden by a dominant gene • Ex. bb = Blue Eyes Bb = Brown Eyes
  • 35. Vocabulary • Heterozygous: different genes – Ex. Bb for Brown Eyes • Homozygous: same genes – Ex. bb for Blue Eyes
  • 36. • PunnettSquare: used to predict offspring – Ex. Two heterozygous bunnies are crossed; black fur is the dominant trait – Phenotype ratio • Ex. 25% white bunnies, 75% black bunnies – Genotype ratio • Ex. 25% bb, 50% Bb, 25% BB F F f f FF Ff Ff ff
  • 37. Earlobes (E) A detached earlobe man (EE) has children with an attached earlobe woman (ee). 1) What are the possible genotypes (gene combination)? 2) What are the possible phenotypes (physical trait)?
  • 38. • A heterozygous tongue roller (Tt) mates with a non-tongue roller (tt), what percentage of their children will be tongue rollers?
  • 39. • What is the percent chance two heterozygous tongue roller will have a non-tongue roller offspring?
  • 40. Dihybrid crosses – chance of inheriting 2 traits together Cross 2 heterozygous for color and height (Green & Tall are dom; Yellow & Short are rec.) TTGG TtGG TTGg TtGg TtGG ttGG TtGg ttGg TTGg TtGg TTgg Ttgg TtGg ttGg Ttgg ttgg TG tGTgtg TG tG Tg tg Red = tall Black= short
  • 41. Protein Synthesis • Transcription – The code in DNA is copied into mRNA – This nucleotide sequence determines the sequence of amino acids in the protein. – mRNA leaves the nucleus and forms a “protein factory” complex with rRNA called a ribosome. • Translation – The nucleotide sequence in mRNA is read 3 nucleotides at a time – a codon. – Each codon corresponds to a specific amino acid. – tRNA brings the needed amino acid to the ribosome. – The amino acids are bonded together to form a protein.
  • 44. Evolution • Evolution: change over time All living things are related to a COMMON ANCESTOR!!!
  • 45. Evidence of Evolution • Evidence: 1. Presence of Fossils found in rock layers 1. Homologous and Vestigial Structures • Homologous: Similar Structures • Vestigial: Unused structures; whale pelvis, human wisdom teeth
  • 47. Evidence of Evolution 3. DNA Comparisons • Humans and mice are 99% similar in DNA, so they are closely related 4. Embryos • Closely related organisms have similar embryos
  • 49. Natural Selection • Natural Selection: “survival of the fittest, failure of the worst” – Over reproduction sets up a struggle for existence – Natural selection selects for variations in the population (result of mutation & sexual reproduction( that are adaptive – The “goal” of life is to survive and reproduce (pass adaptive genes to next generation)
  • 50. • Mutations in DNA: can (not always) lead to unique traits, which may help or hinder survival!! Organism Environment Unique Trait Bunny Rabbit Winter Cactus Desert Cheetah African Savanna Chameleon Jungle Peacock Mating Season
  • 53. • Homeostasis: regulation of systems to maintain balance • Two things can affect homeostasis – Negative Feedback – Positive Feedback
  • 54. Negative Feedback • Negative Feedback: increase causes decrease, decrease causes increase – Ex. AutomaticThermostat: if temperature decreases in room, then the temperature increases –Negative ≠ bad
  • 55.
  • 56. • Positive Feedback: increase causes increase; decrease causes decrease – Ex. No shower for 2 weeks: smell from bacteria growth increases on a daily basis • Positive ≠ good Positive Feedback
  • 57.
  • 58. Negative or Positive Feedback?? Deforestation Regulating Body Temperature (too hot OR cold) Immune System Fighting Infection Body is Hungry P P N N
  • 59. Choose two examples to complete a Negative Feedback Loop AND a Positive Feedback Loop • Identify what HOMEOSTASIS would be • Explain the STIMULUS that tells us homeostasis is not in balance • Identify the CONTROLCENTER in the body (if there is one) that recognizes the stimulus • Explain what RESPONSE occurs
  • 60. Other System Examples • Boundaries, inputs and outputs in an ecosystem (energy, biogeochemical cycles, population dynamics, etc.) • Interaction of enzymes, substrates and products in biochemical pathway • Organ systems
  • 61. Scientific Method • Reliability – – Increased by repeating an investigation = more trials • Validity – – Increased by: • Adding more controlled variables • Improving measuring technique • Controlling for sample bias • Including an experimental control group
  • 62. Different types of investigations • Controlled experiments – A lab investigation in which the values of all variables are kept the same except for one that is changed from experiment to experiment (manipulated variable) and one that is measured (responding variable). – Have experimental and control groups – Include at least 3 levels of manipulated variable (if measuring effect of fertilizer on plant growth, use 10 g., 20 g. and 30 g. of fertilizer on different plants) – Include at least 3 trials for each condition (can be repetitions or more subjects). • Field study – A scientific study of free-living plants or animals in which the subjects are observed in their natural habitat without changing, harming, or altering the setting or subjects. – No experimental and control groups – May include sampling, observation, etc.