Phylogenetics - Revision history

Wordpad: BloomWiki: Phylogenetics

2026-04-25T01:55:40Z

BloomWiki: Phylogenetics

← Older revision		Revision as of 01:55, 25 April 2026
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			<div style="background-color: #4B0082; color: #FFFFFF; padding: 20px; border-radius: 8px; margin-bottom: 15px;">
	{{BloomIntro}}		{{BloomIntro}}
	Phylogenetics is the study of the evolutionary history and relationships among individuals or groups of organisms. It is the science of building the '''Tree of Life'''. While ancient scientists grouped animals by what they looked like (e.g., "Things that fly"), phylogenetics groups them by '''Who they are related to'''. By using DNA sequencing and mathematical models, phylogeneticists can "calculate" the exact distance between a human and a mushroom, or trace every living thing back to a single shared ancestor ('''LUCA'''). It is the ultimate "History Book" of our planet, written in the code of life.		Phylogenetics is the study of the evolutionary history and relationships among individuals or groups of organisms. It is the science of building the '''Tree of Life'''. While ancient scientists grouped animals by what they looked like (e.g., "Things that fly"), phylogenetics groups them by '''Who they are related to'''. By using DNA sequencing and mathematical models, phylogeneticists can "calculate" the exact distance between a human and a mushroom, or trace every living thing back to a single shared ancestor ('''LUCA'''). It is the ultimate "History Book" of our planet, written in the code of life.
			</div>

	== Remembering ==		__TOC__

			<div style="background-color: #000080; color: #FFFFFF; padding: 20px; border-radius: 8px; margin-bottom: 15px;">
			== <span style="color: #FFFFFF;">Remembering</span> ==
	* '''Phylogenetics''' — The study of evolutionary relationships among biological entities.		* '''Phylogenetics''' — The study of evolutionary relationships among biological entities.
	* '''Phylogenetic Tree''' — A diagram that represents evolutionary relationships among organisms.		* '''Phylogenetic Tree''' — A diagram that represents evolutionary relationships among organisms.
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	* '''Analogy (Homoplasy)''' — Similarity in characteristics due to similar environments, not shared ancestry (e.g., wings of a bird and a bee).		* '''Analogy (Homoplasy)''' — Similarity in characteristics due to similar environments, not shared ancestry (e.g., wings of a bird and a bee).
	* '''DNA Sequencing''' — The process of determining the nucleic acid sequence—the order of nucleotides in DNA.		* '''DNA Sequencing''' — The process of determining the nucleic acid sequence—the order of nucleotides in DNA.
			</div>

	== Understanding ==		<div style="background-color: #006400; color: #FFFFFF; padding: 20px; border-radius: 8px; margin-bottom: 15px;">
			== <span style="color: #FFFFFF;">Understanding</span> ==
	Phylogenetics is understood through '''Shared Derived Traits''' and '''Molecular Distance'''.		Phylogenetics is understood through '''Shared Derived Traits''' and '''Molecular Distance'''.

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	'''The Horizontal Gene Transfer (HGT)''': In bacteria, the "Tree of Life" looks more like a "Web." Bacteria can "swap" genes with each other like trading cards. This makes phylogenetics very difficult for microorganisms but explains why antibiotic resistance spreads so fast.		'''The Horizontal Gene Transfer (HGT)''': In bacteria, the "Tree of Life" looks more like a "Web." Bacteria can "swap" genes with each other like trading cards. This makes phylogenetics very difficult for microorganisms but explains why antibiotic resistance spreads so fast.
			</div>

	== Applying ==		<div style="background-color: #8B0000; color: #FFFFFF; padding: 20px; border-radius: 8px; margin-bottom: 15px;">
			== <span style="color: #FFFFFF;">Applying</span> ==
	'''Modeling 'The Molecular Clock' (Dating the Past):'''		'''Modeling 'The Molecular Clock' (Dating the Past):'''
	<syntaxhighlight lang="python">		<syntaxhighlight lang="python">
Line 60:		Line 69:
	: '''The Whale-Hippo Connection''' → Molecular data shocked the world by proving that Whales are most closely related to Hippopotamuses, not sharks or fish.		: '''The Whale-Hippo Connection''' → Molecular data shocked the world by proving that Whales are most closely related to Hippopotamuses, not sharks or fish.
	: '''COVID-19 Tracking''' → Real-time phylogenetics allowed scientists to track every mutation of the virus as it spread across the globe.		: '''COVID-19 Tracking''' → Real-time phylogenetics allowed scientists to track every mutation of the virus as it spread across the globe.
			</div>

	== Analyzing ==		<div style="background-color: #8B4500; color: #FFFFFF; padding: 20px; border-radius: 8px; margin-bottom: 15px;">
			== <span style="color: #FFFFFF;">Analyzing</span> ==
	{\| class="wikitable"		{\| class="wikitable"
	\|+ Homology vs. Analogy		\|+ Homology vs. Analogy
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	'''The Concept of "Monophyly"''': A "True" group in biology must include the ancestor and '''all''' of its descendants. For example, "Reptiles" as a group is technically wrong unless you include Birds (because birds evolved from reptiles). Analyzing these "Missing Branches" is how we fix the errors in ancient biology books.		'''The Concept of "Monophyly"''': A "True" group in biology must include the ancestor and '''all''' of its descendants. For example, "Reptiles" as a group is technically wrong unless you include Birds (because birds evolved from reptiles). Analyzing these "Missing Branches" is how we fix the errors in ancient biology books.
			</div>

	== Evaluating ==		<div style="background-color: #483D8B; color: #FFFFFF; padding: 20px; border-radius: 8px; margin-bottom: 15px;">
			== <span style="color: #FFFFFF;">Evaluating</span> ==
	Evaluating a phylogenetic tree:		Evaluating a phylogenetic tree:
	# '''Bootstrap Support''': How many times did the computer find the same tree when it "shuffled" the data (High % = High trust)?		# '''Bootstrap Support''': How many times did the computer find the same tree when it "shuffled" the data (High % = High trust)?
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	# '''Gene Choice''': Did they use a "fast-mutating" gene (good for recent history) or a "slow-mutating" one (good for ancient history)?		# '''Gene Choice''': Did they use a "fast-mutating" gene (good for recent history) or a "slow-mutating" one (good for ancient history)?
	# '''Incomplete Lineage Sorting''': Dealing with the fact that sometimes genes "lie" about the history because of random sorting.		# '''Incomplete Lineage Sorting''': Dealing with the fact that sometimes genes "lie" about the history because of random sorting.
			</div>

	== Creating ==		<div style="background-color: #2F4F4F; color: #FFFFFF; padding: 20px; border-radius: 8px; margin-bottom: 15px;">
			== <span style="color: #FFFFFF;">Creating</span> ==
	Future Frontiers:		Future Frontiers:
	# '''Phylogenomics''': Using the ''entire'' genome instead of just one gene to build the most perfect tree possible.		# '''Phylogenomics''': Using the ''entire'' genome instead of just one gene to build the most perfect tree possible.
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	[[Category:Evolutionary Biology]]		[[Category:Evolutionary Biology]]
	[[Category:Science]]		[[Category:Science]]
			</div>

Wordpad: BloomWiki: Phylogenetics

2026-04-23T14:38:51Z

BloomWiki: Phylogenetics

← Older revision		Revision as of 14:38, 23 April 2026
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	== Evaluating ==		== Evaluating ==
	Evaluating a phylogenetic tree: ~~(1)~~ '''Bootstrap Support''': How many times did the computer find the same tree when it "shuffled" the data (High % = High trust)? ~~(2)~~ '''Outgroup''': Did the scientist include a "distant relative" (like a fish for a mammal tree) to "root" the tree correctly? ~~(3)~~ '''Gene Choice''': Did they use a "fast-mutating" gene (good for recent history) or a "slow-mutating" one (good for ancient history)? ~~(4)~~ '''Incomplete Lineage Sorting''': Dealing with the fact that sometimes genes "lie" about the history because of random sorting.		Evaluating a phylogenetic tree:
			# '''Bootstrap Support''': How many times did the computer find the same tree when it "shuffled" the data (High % = High trust)?
			# '''Outgroup''': Did the scientist include a "distant relative" (like a fish for a mammal tree) to "root" the tree correctly?
			# '''Gene Choice''': Did they use a "fast-mutating" gene (good for recent history) or a "slow-mutating" one (good for ancient history)?
			# '''Incomplete Lineage Sorting''': Dealing with the fact that sometimes genes "lie" about the history because of random sorting.

	== Creating ==		== Creating ==
	Future Frontiers: ~~(1)~~ '''Phylogenomics''': Using the ''entire'' genome instead of just one gene to build the most perfect tree possible. ~~(2)~~ '''Paleo-genetics''': Extracting DNA from 100,000-year-old bones to put "ghost species" (like Neanderthals) onto the tree. ~~(3)~~ '''Metagenomics''': Building a tree for an entire "Ecosystem" (like a scoop of soil) without ever seeing the individual animals. ~~(4)~~ '''AI-Tree Building''': Using machine learning to sort through the billions of possible trees to find the one that fits the data best.		Future Frontiers:
			# '''Phylogenomics''': Using the ''entire'' genome instead of just one gene to build the most perfect tree possible.
			# '''Paleo-genetics''': Extracting DNA from 100,000-year-old bones to put "ghost species" (like Neanderthals) onto the tree.
			# '''Metagenomics''': Building a tree for an entire "Ecosystem" (like a scoop of soil) without ever seeing the individual animals.
			# '''AI-Tree Building''': Using machine learning to sort through the billions of possible trees to find the one that fits the data best.

	[[Category:Biology]]		[[Category:Biology]]
	[[Category:Evolutionary Biology]]		[[Category:Evolutionary Biology]]
	[[Category:Science]]		[[Category:Science]]

Wordpad: BloomWiki: Phylogenetics

2026-04-23T14:29:39Z

BloomWiki: Phylogenetics

← Older revision		Revision as of 14:29, 23 April 2026
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	== Creating ==		== Creating ==
	Future Frontiers: (1) '''Phylogenomics''': Using the entire genome instead of just one gene to build the most perfect tree possible. (2) '''Paleo-genetics''': Extracting DNA from 100,000-year-old bones to put "ghost species" (like Neanderthals) onto the tree. (3) '''Metagenomics''': Building a tree for an entire "Ecosystem" (like a scoop of soil) without ever seeing the individual animals. (4) '''AI-Tree Building''': Using machine learning to sort through the billions of possible trees to find the one that fits the data best.		Future Frontiers: (1) '''Phylogenomics''': Using the ''entire'' genome instead of just one gene to build the most perfect tree possible. (2) '''Paleo-genetics''': Extracting DNA from 100,000-year-old bones to put "ghost species" (like Neanderthals) onto the tree. (3) '''Metagenomics''': Building a tree for an entire "Ecosystem" (like a scoop of soil) without ever seeing the individual animals. (4) '''AI-Tree Building''': Using machine learning to sort through the billions of possible trees to find the one that fits the data best.

	[[Category:Biology]]		[[Category:Biology]]
	[[Category:Evolutionary Biology]]		[[Category:Evolutionary Biology]]
	[[Category:Science]]		[[Category:Science]]

Wordpad: BloomWiki: Phylogenetics

2026-04-23T14:23:48Z

BloomWiki: Phylogenetics

← Older revision		Revision as of 14:23, 23 April 2026
Line 1:		Line 1:
	{{BloomIntro}}		{{BloomIntro}}
	Phylogenetics is the study of the evolutionary history and relationships among individuals or groups of organisms. It is the science of building the Tree of Life. While ancient scientists grouped animals by what they looked like (e.g., "Things that fly"), phylogenetics groups them by Who they are related to. By using DNA sequencing and mathematical models, phylogeneticists can "calculate" the exact distance between a human and a mushroom, or trace every living thing back to a single shared ancestor (LUCA). It is the ultimate "History Book" of our planet, written in the code of life.		Phylogenetics is the study of the evolutionary history and relationships among individuals or groups of organisms. It is the science of building the '''Tree of Life'''. While ancient scientists grouped animals by what they looked like (e.g., "Things that fly"), phylogenetics groups them by '''Who they are related to'''. By using DNA sequencing and mathematical models, phylogeneticists can "calculate" the exact distance between a human and a mushroom, or trace every living thing back to a single shared ancestor ('''LUCA'''). It is the ultimate "History Book" of our planet, written in the code of life.

	== Remembering ==		== Remembering ==
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	== Understanding ==		== Understanding ==
	Phylogenetics is understood through Shared Derived Traits and Molecular Distance.		Phylogenetics is understood through '''Shared Derived Traits''' and '''Molecular Distance'''.

	1. The Tree Metaphor:		'''1. The Tree Metaphor''':
	A phylogenetic tree is a "Map of Time."		A phylogenetic tree is a "Map of Time."
	* The Tips: Living species.		* '''The Tips''': Living species.
	* The Nodes: The "Grandparents."		* '''The Nodes''': The "Grandparents."
	* The Branches: The time spent evolving independently.		* '''The Branches''': The time spent evolving independently.
	If two species share a recent "Node," they are more related (e.g., Humans and Chimps share a node 6 million years ago; Humans and Dogs share a node 90 million years ago).		If two species share a recent "Node," they are more related (e.g., Humans and Chimps share a node 6 million years ago; Humans and Dogs share a node 90 million years ago).

	2. Morphological vs. Molecular:		'''2. Morphological vs. Molecular''':
	* Old Way (Morphology): Grouping by physical traits. This was often wrong because of Convergent Evolution (where different animals evolve to look the same, like Sharks and Dolphins).		* '''Old Way (Morphology)''': Grouping by physical traits. This was often wrong because of '''Convergent Evolution''' (where different animals evolve to look the same, like Sharks and Dolphins).
	* New Way (Molecular): Comparing the "Letters" of the DNA (A, T, C, G). If a human and a monkey have the same 1,000 letters, but a human and a fish have 500 different ones, the human is "closer" to the monkey.		* '''New Way (Molecular)''': Comparing the "Letters" of the DNA (A, T, C, G). If a human and a monkey have the same 1,000 letters, but a human and a fish have 500 different ones, the human is "closer" to the monkey.

	3. The Principle of Parsimony:		'''3. The Principle of Parsimony''':
	If you find three animals with "Blue Fur," and two are closely related, it's most likely that the "Blue Fur" evolved Once in their common ancestor. The alternative (that it evolved twice by accident) is less likely. Scientists always look for the "Simplest Path."		If you find three animals with "Blue Fur," and two are closely related, it's most likely that the "Blue Fur" evolved '''Once''' in their common ancestor. The alternative (that it evolved twice by accident) is less likely. Scientists always look for the "Simplest Path."

	The Horizontal Gene Transfer (HGT): In bacteria, the "Tree of Life" looks more like a "Web." Bacteria can "swap" genes with each other like trading cards. This makes phylogenetics very difficult for microorganisms but explains why antibiotic resistance spreads so fast.		'''The Horizontal Gene Transfer (HGT)''': In bacteria, the "Tree of Life" looks more like a "Web." Bacteria can "swap" genes with each other like trading cards. This makes phylogenetics very difficult for microorganisms but explains why antibiotic resistance spreads so fast.

	== Applying ==		== Applying ==
Line 75:		Line 75:
	\|}		\|}

	The Concept of "Monophyly": A "True" group in biology must include the ancestor and all of its descendants. For example, "Reptiles" as a group is technically wrong unless you include Birds (because birds evolved from reptiles). Analyzing these "Missing Branches" is how we fix the errors in ancient biology books.		'''The Concept of "Monophyly"''': A "True" group in biology must include the ancestor and '''all''' of its descendants. For example, "Reptiles" as a group is technically wrong unless you include Birds (because birds evolved from reptiles). Analyzing these "Missing Branches" is how we fix the errors in ancient biology books.

	== Evaluating ==		== Evaluating ==
	Evaluating a phylogenetic tree: (1) Bootstrap Support: How many times did the computer find the same tree when it "shuffled" the data (High % = High trust)? (2) Outgroup: Did the scientist include a "distant relative" (like a fish for a mammal tree) to "root" the tree correctly? (3) Gene Choice: Did they use a "fast-mutating" gene (good for recent history) or a "slow-mutating" one (good for ancient history)? (4) Incomplete Lineage Sorting: Dealing with the fact that sometimes genes "lie" about the history because of random sorting.		Evaluating a phylogenetic tree: (1) '''Bootstrap Support''': How many times did the computer find the same tree when it "shuffled" the data (High % = High trust)? (2) '''Outgroup''': Did the scientist include a "distant relative" (like a fish for a mammal tree) to "root" the tree correctly? (3) '''Gene Choice''': Did they use a "fast-mutating" gene (good for recent history) or a "slow-mutating" one (good for ancient history)? (4) '''Incomplete Lineage Sorting''': Dealing with the fact that sometimes genes "lie" about the history because of random sorting.

	== Creating ==		== Creating ==
	Future Frontiers: (1) Phylogenomics: Using the entire genome instead of just one gene to build the most perfect tree possible. (2) Paleo-genetics: Extracting DNA from 100,000-year-old bones to put "ghost species" (like Neanderthals) onto the tree. (3) Metagenomics: Building a tree for an entire "Ecosystem" (like a scoop of soil) without ever seeing the individual animals. (4) AI-Tree Building: Using machine learning to sort through the billions of possible trees to find the one that fits the data best.		Future Frontiers: (1) '''Phylogenomics''': Using the entire genome instead of just one gene to build the most perfect tree possible. (2) '''Paleo-genetics''': Extracting DNA from 100,000-year-old bones to put "ghost species" (like Neanderthals) onto the tree. (3) '''Metagenomics''': Building a tree for an entire "Ecosystem" (like a scoop of soil) without ever seeing the individual animals. (4) '''AI-Tree Building''': Using machine learning to sort through the billions of possible trees to find the one that fits the data best.

	[[Category:Biology]]		[[Category:Biology]]
	[[Category:Evolutionary Biology]]		[[Category:Evolutionary Biology]]
	[[Category:Science]]		[[Category:Science]]

Wordpad: BloomWiki: Phylogenetics

2026-04-23T14:01:45Z

BloomWiki: Phylogenetics

New page

{{BloomIntro}}
Phylogenetics is the study of the evolutionary history and relationships among individuals or groups of organisms. It is the science of building the **Tree of Life**. While ancient scientists grouped animals by what they looked like (e.g., "Things that fly"), phylogenetics groups them by **Who they are related to**. By using DNA sequencing and mathematical models, phylogeneticists can "calculate" the exact distance between a human and a mushroom, or trace every living thing back to a single shared ancestor (**LUCA**). It is the ultimate "History Book" of our planet, written in the code of life.

== Remembering ==
* '''Phylogenetics''' — The study of evolutionary relationships among biological entities.
* '''Phylogenetic Tree''' — A diagram that represents evolutionary relationships among organisms.
* '''Clade''' — A group of organisms believed to have evolved from a common ancestor (a "Branch" on the tree).
* '''Common Ancestor''' — An individual or species from which two or more later species are descended.
* '''LUCA (Last Universal Common Ancestor)''' — The most recent population of organisms from which all organisms now living on Earth have a common descent.
* '''Node''' — A point on a tree where a branch splits, representing a speciation event.
* '''Root''' — The base of the tree, representing the oldest common ancestor of all the entities in the tree.
* '''Taxon''' — A group of one or more populations of an organism or organisms seen by taxonomists to form a unit.
* '''Molecular Clock''' — A technique that uses the mutation rate of biomolecules to deduce the time when two life forms diverged.
* '''Parsimony''' — The principle that the simplest explanation (the one with the fewest evolutionary changes) is usually the correct one.
* '''Homology''' — Similarity in characteristics resulting from shared ancestry (e.g., bones in a whale fin and human hand).
* '''Analogy (Homoplasy)''' — Similarity in characteristics due to similar environments, not shared ancestry (e.g., wings of a bird and a bee).
* '''DNA Sequencing''' — The process of determining the nucleic acid sequence—the order of nucleotides in DNA.

== Understanding ==
Phylogenetics is understood through **Shared Derived Traits** and **Molecular Distance**.

**1. The Tree Metaphor**:
A phylogenetic tree is a "Map of Time."
* **The Tips**: Living species.
* **The Nodes**: The "Grandparents."
* **The Branches**: The time spent evolving independently.
If two species share a recent "Node," they are more related (e.g., Humans and Chimps share a node 6 million years ago; Humans and Dogs share a node 90 million years ago).

**2. Morphological vs. Molecular**:
* **Old Way (Morphology)**: Grouping by physical traits. This was often wrong because of **Convergent Evolution** (where different animals evolve to look the same, like Sharks and Dolphins).
* **New Way (Molecular)**: Comparing the "Letters" of the DNA (A, T, C, G). If a human and a monkey have the same 1,000 letters, but a human and a fish have 500 different ones, the human is "closer" to the monkey.

**3. The Principle of Parsimony**:
If you find three animals with "Blue Fur," and two are closely related, it's most likely that the "Blue Fur" evolved **Once** in their common ancestor. The alternative (that it evolved twice by accident) is less likely. Scientists always look for the "Simplest Path."

**The Horizontal Gene Transfer (HGT)**: In bacteria, the "Tree of Life" looks more like a "Web." Bacteria can "swap" genes with each other like trading cards. This makes phylogenetics very difficult for microorganisms but explains why antibiotic resistance spreads so fast.

== Applying ==
'''Modeling 'The Molecular Clock' (Dating the Past):'''
<syntaxhighlight lang="python">
def estimate_divergence_time(diff_percent, mutation_rate_per_million_years):
"""
Shows how DNA acts as a 'Clock'.
"""
# Time = Difference / (2 * Rate)
# The '2' is because both branches are mutating.
time_mya = diff_percent / (2 * mutation_rate_per_million_years)
return time_mya

# Scenario: Two species have 2.0% difference in a gene.
# Rate is 0.1% per million years.
print(f"Diverged: {estimate_divergence_time(2.0, 0.1):.1f} million years ago")
# This is how we know 'When' the dinosaurs died or 'When'
# humans left Africa.
</syntaxhighlight>

; Phylogenetic Landmarks
: '''The Three Domains (1990)''' → Carl Woese used phylogenetics to prove that life isn't just "Plants vs. Animals," but three giant groups: Bacteria, Archaea, and Eukarya.
: '''Human-Chimp Divergence''' → DNA proved we are 98.8% identical to chimpanzees, confirming Darwin's prediction.
: '''The Whale-Hippo Connection''' → Molecular data shocked the world by proving that Whales are most closely related to Hippopotamuses, not sharks or fish.
: '''COVID-19 Tracking''' → Real-time phylogenetics allowed scientists to track every mutation of the virus as it spread across the globe.

== Analyzing ==
{| class="wikitable"
|+ Homology vs. Analogy
! Feature !! Homology (Related) !! Analogy (Coincidence)
|-
| Cause || Shared Ancestry || Shared Environment / Need
|-
| Example || Human Arm / Bat Wing || Bat Wing / Butterfly Wing
|-
| DNA Evidence || High similarity || Low similarity
|-
| Analogy || Two people with the same last name || Two people wearing the same shirt
|}

**The Concept of "Monophyly"**: A "True" group in biology must include the ancestor and **all** of its descendants. For example, "Reptiles" as a group is technically wrong unless you include Birds (because birds evolved from reptiles). Analyzing these "Missing Branches" is how we fix the errors in ancient biology books.

== Evaluating ==
Evaluating a phylogenetic tree: (1) **Bootstrap Support**: How many times did the computer find the same tree when it "shuffled" the data (High % = High trust)? (2) **Outgroup**: Did the scientist include a "distant relative" (like a fish for a mammal tree) to "root" the tree correctly? (3) **Gene Choice**: Did they use a "fast-mutating" gene (good for recent history) or a "slow-mutating" one (good for ancient history)? (4) **Incomplete Lineage Sorting**: Dealing with the fact that sometimes genes "lie" about the history because of random sorting.

== Creating ==
Future Frontiers: (1) **Phylogenomics**: Using the *entire* genome instead of just one gene to build the most perfect tree possible. (2) **Paleo-genetics**: Extracting DNA from 100,000-year-old bones to put "ghost species" (like Neanderthals) onto the tree. (3) **Metagenomics**: Building a tree for an entire "Ecosystem" (like a scoop of soil) without ever seeing the individual animals. (4) **AI-Tree Building**: Using machine learning to sort through the billions of possible trees to find the one that fits the data best.

[[Category:Biology]]
[[Category:Evolutionary Biology]]
[[Category:Science]]