2
Most read
3
Most read
7
Most read
Methods of illustrating evolutionary relationship
Different methods of phylogenetic tree construction:
• Phylogenetics is the study of genetic relatedness of individuals of the same, or
different, species.
• Through phylogenetics, evolutionary relationships can be inferred.
• A phylogenetic tree may be rooted or unrooted, depending on whether the
ancestral root is known or unknown, respectively.
• A phylogenetic tree’s root is the origin of evolution of the individuals studied.
• Branches between leaves show the evolutionary relationships between
sequences, individuals, or species, and branch length represents evolutionary
time.
• When constructing and analyzing phylogenetic trees, it is important to
remember that the resulting tree is simply an estimate and is unlikely to
represent the true evolutionary tree of life.
• Various methods can be used to construct a phylogenetic tree.
• The two most commonly used and most robust approaches are maximum
likelihood and Bayesian methods.
Distance-matrix methods
Distance-matrix methods are rapid approaches that measure the genetic distances
between sequences. After having aligned the sequences through multiple sequence
alignment, the proportion of mismatched positions is calculated. From this, a matrix is
constructed that describes the genetic distance between each sequence pair. In the
resulting phylogenetic tree, closely-related sequences are found under the same
interior node, and the branch lengths represent the observed genetic distances
between sequences.
• Neighbor joining (NJ), and Unweighted Pair Group Method (UPGMA) are two
distance-matrix methods.
• NJ and UPGMA produce unrooted and rooted trees, respectively.
• NJ is a bottom-up clustering algorithm.
• The main advantages of NJ are its rapid speed, regardless of dataset size, and
that it does not assume an equal rate of evolution amongst all lineages.
• Despite this, NJ only generates one phylogenetic tree, even when there are
several possibilities.
• UPGMA is an unweighted method, meaning that each genetic distance
contributes equally to the overall average.
• UPGMA is not a particularly popular method as it makes various assumptions,
including the assumption that the evolutionary rate is equal for all lineages.
Maximum parsimony
• Maximum parsimony attempts to reduce branch length by minimizing the
number of evolutionary changes required between sequences.
• The optimal tree would be the shortest tree with the fewest mutations.
• All potential trees are evaluated, and the tree with the least amount of
homoplasy, or convergent evolution, is selected as the most likely tree.
• Since the most-parsimonious tree is always the shortest tree, it may not
necessarily best represent the evolutionary changes that have occurred.
• Also, maximum parsimony is not statistically consistent, leading to issues when
drawing conclusions.
Maximum likelihood
• Despite being slow and computationally expensive, maximum likelihood is the
most commonly used phylogenetic method used in research papers, and it is
ideal for phylogeny construction from sequence data.
• For each nucleotide position in a sequence, the maximum likelihood algorithm
estimates the probability of that position being a particular nucleotide, based
on whether the ancestral sequences possessed that specific nucleotide.
• The cumulative probabilities for the entire sequence are calculated for both
branches of a bifurcating tree.
• The likelihood of the whole tree is provided by the sum of the probabilities of
both branches of the tree.
• Maximum likelihood is based on the concept that each nucleotide site evolves
independently, enabling phylogenetic relationships to be analyzed at each site.
• The maximum likelihood method can be carried out in a reasonable amount of
time for four sequences.
• If more than four sequences are to be analyzed, then basic trees are
constructed for the initial four sequences, and further sequences are
subsequently added, and maximum likelihood is recalculated.
• Bias can be introduced into the calculation as the order in which the sequences
are added, and the initial sequence used, play pivotal roles in the outcome of
the tree.
• Bias can be avoided by repeating the entire process multiple times at random
so that the majority rule consensus tree can be selected.
Bayesian inference
• Bayesian inference methods assume phylogeny by using posterior probabilities
of phylogenetic trees.
• A posterior probability is generated for each tree by combining its prior
probability with the likelihood of the data.
• A phylogeny is best represented by the tree with the highest posterior
probability.
• Not only does Bayesian inference produce results that can be easily interpreted;
it can also incorporate prior information and complex models of evolution into
the analysis, as well as accounting for phylogenetic uncertainty.
Determining Evolutionary Relationships
• In general, organisms that share similar physical features and genomes tend to
be more closely related than those that do not. Such features that overlap both
morphologically (in form) and genetically are referred to as homologous
structures; they stem from developmental similarities that are based on
evolution. For example, the bones in the wings of bats and birds have
homologous structures
• Bat and bird wings are homologous structures, indicating that bats and birds
share a common evolutionary past.
• A phylogeny, phylogenetic tree, or evolutionary tree is a diagram showing the
evolutionary relationships between a group of organisms.
• Closely related species are likely to have similar characteristics, with some
differences. Thus, if one species is known to have certain characteristics, such
as containing beneficial drugs, it is reasonable to suppose that closely related
species may contain similar drugs.
The Narcissus (daffodil) genus is one plant family that contains these potentially
life-saving drugs. Papers have been published about the search for Alzheimer’s
treatments (Rønsted et al., 2010) and anti-viral drugs (Ooi et al., 2010) in the
genus Narcissus. There has also been a paper on the evolution of stylar polymorphisms
in this genus (Graham and Barrett, 2004). These papers are freely available online.
Some DNA and protein sequences have been determined for several species
of Narcissus and these have been used to try to understand the evolutionary
relationships of species within this genus.
Misleading Appearances
• Some organisms may be very closely related, even though a minor genetic
change caused a major morphological difference to make them look quite
different.
• Similarly, unrelated organisms may be distantly related, but appear very much
alike.
• This usually happens because both organisms were in common adaptations
that evolved within similar environmental conditions.
• When similar characteristics occur because of environmental constraints and
not due to a close evolutionary relationship, it is called an analogy or
homoplasy.
• Similar traits can be either homologous or analogous.
• Homologous structures share a similar embryonic origin; analogous organs
have a similar function.
• Two succulent plant genera, Euphorbia and Astrophytum, are only distantly
related, but the species within each have converged on a similar body form.
• For example, the bones in the front flipper of a whale are homologous to the
bones in the human arm.
Molecular Comparisons
• With the advancement of DNA technology, the area of molecular systematics,
which describes the use of information on the molecular level including DNA
analysis, has blossomed.
• New computer programs not only confirm many earlier classified organisms,
but also uncover previously made errors.
• As with physical characteristics, even the DNA sequence can be tricky to read in
some cases.
• For some situations, two very closely related organisms can appear unrelated if
a mutation occurred that caused a shift in the genetic code.
• An insertion or deletion mutation would move each nucleotide base over one
place, causing two similar codes to appear unrelated.
• Sometimes two segments of DNA code in distantly related organisms randomly
share a high percentage of bases in the same locations, causing these organisms
to appear closely related when they are not.
• For both of these situations, computer technologies have been developed to
help identify the actual relationships, and, ultimately, the coupled use of both
morphologic and molecular information is more effective in determining
phylogeny.
Evolution Connection
• Evolutionary biologists could list many reasons why understanding phylogeny
is important to everyday life in human society.
• For botanists, phylogeny acts as a guide to discovering new plants that can be
used to benefit people.
• Think of all the ways humans use plants—food, medicine, and clothing are a
few examples.
• If a plant contains a compound that is effective in treating cancer, scientists
might want to examine all of the relatives of that plant for other useful drugs.
• A research team in China identified a segment of DNA thought to be common
to some medicinal plants in the family Fabaceae (the legume family) and
worked to identify which species had this segment. After testing plant species
in this family, the team found a DNA marker (a known location on a
chromosome that enabled them to identify the species) present. Then, using
the DNA to uncover phylogenetic relationships, the team could identify
whether a newly discovered plant was in this family and assess its potential
medicinal properties.
*Dalbergia sissoo (D. sissoo) is in the Fabaceae, or legume family. Scientists found
that D. sissoo shares a DNA marker with species within the Fabaceae family that have
antifungal properties. Subsequently, D. sissoo was shown to have fungicidal activity,
supporting the idea that DNA markers can be used to screen for plants with potential
medicinal properties.
Building Phylogenetic Trees
• After the homologous and analogous traits are sorted, scientists often organize
the homologous traits using a system called cladistics.
• This system sorts organisms into clades: groups of organisms that descended
from a single ancestor.
• For example, all of the organisms in the orange region evolved from a single
ancestor that had amniotic eggs.
• Consequently, all of these organisms also have amniotic eggs and make a single
clade, also called a monophyletic group.
Art Connection
• All the organisms within a clade stem from a single point on the tree.
• A clade may contain multiple groups, as in the case of animals, fungi and plants,
or a single group, as in the case of flagellates.
• Groups that diverge at a different branch point, or that do not include all groups
in a single branch point, are not considered clades.
Shared Characteristics
• Organisms evolve from common ancestors and then diversify. Scientists use
the phrase “descent with modification” because even though related
organisms have many of the same characteristics and genetic codes,
changes occur. This pattern repeats over and over as one goes through the
phylogenetic tree of life:
1. A change in the genetic makeup of an organism leads to a new trait which
becomes prevalent in the group.
2. Many organisms descend from this point and have this trait.
3. New variations continue to arise: some are adaptive and persist, leading to
new traits.
4. With new traits, a new branch point is determined (go back to step 1 and
repeat).
• If a characteristic is found in the ancestor of a group, it is considered a shared
ancestral character because all of the organisms in the taxon or clade have that
trait. The vertebrate is a shared ancestral character. Now consider the amniotic
egg characteristic in the same figure. Only some of the organisms have this trait,
and to those that do, it is called a shared derived character because this trait
derived at some point but does not include all of the ancestors in the tree.
• The tricky aspect to shared ancestral and shared derived characters is the fact
that these terms are relative. The same trait can be considered one or the other
depending on the particular diagram being used.
• These terms help scientists distinguish between clades in the building of
phylogenetic trees.
Choosing the Right Relationships
• Imagine being the person responsible for organizing all of the items in a
department store properly—an overwhelming task.
• Organizing the evolutionary relationships of all life on Earth proves much more
difficult: scientists must span enormous blocks of time and work with
information from long-extinct organisms.
• Trying to decrypt the proper connections, especially given the presence of
homologies and analogies, makes the task of building an accurate tree of life
extraordinarily difficult.
• Add to that the advancement of DNA technology, which now provides large
quantities of genetic sequences to be used and analyzed.
• Taxonomy is a subjective discipline: many organisms have more than one
connection to each other, so each taxonomist will decide the order of
connections.
• To aid in the tremendous task of describing phylogenies accurately, scientists
often use a concept called maximum parsimony, which means that events
occurred in the simplest, most obvious way.
• For example, if a group of people entered a forest preserve to go hiking, based
on the principle of maximum parsimony, one could predict that most of the
people would hike on established trails rather than forge new ones.
• For scientists deciphering evolutionary pathways, the same idea is used: the
pathway of evolution probably includes the fewest major events that coincide
with the evidence at hand.
• Starting with all of the homologous traits in a group of organisms, scientists look
for the most obvious and simple order of evolutionary events that led to the
occurrence of those traits.

More Related Content

PDF
Co-evolution of angiosperms and animals
PPTX
Origin and evolution of angiosperms
PPT
Angiosperm classifications
PDF
Numerical Taxonomy & Biometrics.pdf
PPTX
Cytotaxonomy plant taxonomy
PPTX
Phytogeography, climate, vegetation and botanical zones
PPT
Flora, Revision and Monograph
PDF
Pollen wall Structure and Male Germ Unit in Plants
Co-evolution of angiosperms and animals
Origin and evolution of angiosperms
Angiosperm classifications
Numerical Taxonomy & Biometrics.pdf
Cytotaxonomy plant taxonomy
Phytogeography, climate, vegetation and botanical zones
Flora, Revision and Monograph
Pollen wall Structure and Male Germ Unit in Plants

What's hot (20)

PPTX
Telome Theory
PPTX
Myxomycotina
PDF
Application of anatomy in Plant Systematics & Pharmacognosy
PDF
Ecology-Light, Temperature, Fire & Wind
PPTX
Anamalous secondary growth
PPTX
Ranales: salient features, floral & families diversity and phylogeny
PPTX
Structure of Anther
PPTX
Aims and objectives of plant taxonomy
PDF
PPTX
Molecular taxonomy
PPTX
Angiosperm Phylogeny Group from 1 to 4
PPTX
Classification of gymnosperm by chamberlain
PDF
Cladistic
PDF
ICN- Author Citation, Rejection of Names and Hybrid Nomenclature of Plants
PPTX
Concept of Climax
PPTX
PELLIA LIFE CYCLE
PDF
ORIGIN& EVOLUTION OF ANGIOSPERMS.pdf
PPTX
Hutchinsons system of classification
PDF
Gnetum: A Powerpoint Presentation on Gymnospems
PPTX
Hardy weinberg law
Telome Theory
Myxomycotina
Application of anatomy in Plant Systematics & Pharmacognosy
Ecology-Light, Temperature, Fire & Wind
Anamalous secondary growth
Ranales: salient features, floral & families diversity and phylogeny
Structure of Anther
Aims and objectives of plant taxonomy
Molecular taxonomy
Angiosperm Phylogeny Group from 1 to 4
Classification of gymnosperm by chamberlain
Cladistic
ICN- Author Citation, Rejection of Names and Hybrid Nomenclature of Plants
Concept of Climax
PELLIA LIFE CYCLE
ORIGIN& EVOLUTION OF ANGIOSPERMS.pdf
Hutchinsons system of classification
Gnetum: A Powerpoint Presentation on Gymnospems
Hardy weinberg law
Ad

Similar to Methods of illustrating evolutionary relationship (20)

PPT
Phylogenetic analysis
PDF
Biol102 chp26-pp-spr10-100312094514-phpapp02
PDF
Biol102 chp26-pp-spr10-100312094514-phpapp02
PPTX
Phylogeny-Abida.pptx
PPT
Phylogenetic analyses1
PPT
Ap Chapter 26 Evolutionary History Of Biological Diversity
PPT
Cg7 trees
PPTX
2015 bioinformatics phylogenetics_wim_vancriekinge
PPT
Basics of constructing Phylogenetic tree.ppt
PDF
AnMicro-TBRC Seminar on Phylogenetic Analysis (EP.1)
PPT
Phylogenetic alignment analysis an important tool in computational biology
PPTX
Phylogenetics Basics.pptx
PDF
evolution and molecular phylogenetics.pdf
PPT
Bioinformatica 24-11-2011-t6-phylogenetics
PPTX
Evolutionary-Relationships-of-Organism-2.pptx
PPT
Ch.20 lecture presentation1
PPTX
Bioinformatics t6-phylogenetics v2013-wim_vancriekinge
PPTX
Molecular phylogenetics
PDF
07_Phylogeny_2022.pdf
PDF
Phylolecture
Phylogenetic analysis
Biol102 chp26-pp-spr10-100312094514-phpapp02
Biol102 chp26-pp-spr10-100312094514-phpapp02
Phylogeny-Abida.pptx
Phylogenetic analyses1
Ap Chapter 26 Evolutionary History Of Biological Diversity
Cg7 trees
2015 bioinformatics phylogenetics_wim_vancriekinge
Basics of constructing Phylogenetic tree.ppt
AnMicro-TBRC Seminar on Phylogenetic Analysis (EP.1)
Phylogenetic alignment analysis an important tool in computational biology
Phylogenetics Basics.pptx
evolution and molecular phylogenetics.pdf
Bioinformatica 24-11-2011-t6-phylogenetics
Evolutionary-Relationships-of-Organism-2.pptx
Ch.20 lecture presentation1
Bioinformatics t6-phylogenetics v2013-wim_vancriekinge
Molecular phylogenetics
07_Phylogeny_2022.pdf
Phylolecture
Ad

More from EmaSushan (20)

PPTX
Rolling Circle Replication
PPTX
S1 Nuclease Mapping
PPTX
Ramachandran Plot
PPTX
Ascent of sap (plant physiology)
PPTX
Transport in plant (Plant physiology)
PDF
Angiosperms
PDF
Operational taxonomic unit (OTUs)
PDF
Numerical taxonomy
PDF
Data mining
PDF
Functional aspects of ecosystem
PDF
Cot curve
PDF
Semiconservative DNA replication
PDF
Various model of DNA replication
PDF
Semiconservative replication
PDF
Telomere replication
PDF
DNA replication
PDF
Ribosome
PDF
Fidelity in protein synthesis
PDF
Post translational modifications
PDF
Important inhibitors of protein synthesis
Rolling Circle Replication
S1 Nuclease Mapping
Ramachandran Plot
Ascent of sap (plant physiology)
Transport in plant (Plant physiology)
Angiosperms
Operational taxonomic unit (OTUs)
Numerical taxonomy
Data mining
Functional aspects of ecosystem
Cot curve
Semiconservative DNA replication
Various model of DNA replication
Semiconservative replication
Telomere replication
DNA replication
Ribosome
Fidelity in protein synthesis
Post translational modifications
Important inhibitors of protein synthesis

Recently uploaded (20)

PPTX
202450812 BayCHI UCSC-SV 20250812 v17.pptx
PDF
David L Page_DCI Research Study Journey_how Methodology can inform one's prac...
PDF
Hazard Identification & Risk Assessment .pdf
PDF
Practical Manual AGRO-233 Principles and Practices of Natural Farming
PPTX
CHAPTER IV. MAN AND BIOSPHERE AND ITS TOTALITY.pptx
PPTX
A powerpoint presentation on the Revised K-10 Science Shaping Paper
PPTX
Share_Module_2_Power_conflict_and_negotiation.pptx
PPTX
Onco Emergencies - Spinal cord compression Superior vena cava syndrome Febr...
PPTX
History, Philosophy and sociology of education (1).pptx
PDF
Chinmaya Tiranga quiz Grand Finale.pdf
PDF
AI-driven educational solutions for real-life interventions in the Philippine...
PPTX
TNA_Presentation-1-Final(SAVE)) (1).pptx
PDF
1.3 FINAL REVISED K-10 PE and Health CG 2023 Grades 4-10 (1).pdf
DOC
Soft-furnishing-By-Architect-A.F.M.Mohiuddin-Akhand.doc
PDF
LDMMIA Reiki Yoga Finals Review Spring Summer
PPTX
20th Century Theater, Methods, History.pptx
PDF
OBE - B.A.(HON'S) IN INTERIOR ARCHITECTURE -Ar.MOHIUDDIN.pdf
PDF
FOISHS ANNUAL IMPLEMENTATION PLAN 2025.pdf
PDF
ChatGPT for Dummies - Pam Baker Ccesa007.pdf
PDF
Environmental Education MCQ BD2EE - Share Source.pdf
202450812 BayCHI UCSC-SV 20250812 v17.pptx
David L Page_DCI Research Study Journey_how Methodology can inform one's prac...
Hazard Identification & Risk Assessment .pdf
Practical Manual AGRO-233 Principles and Practices of Natural Farming
CHAPTER IV. MAN AND BIOSPHERE AND ITS TOTALITY.pptx
A powerpoint presentation on the Revised K-10 Science Shaping Paper
Share_Module_2_Power_conflict_and_negotiation.pptx
Onco Emergencies - Spinal cord compression Superior vena cava syndrome Febr...
History, Philosophy and sociology of education (1).pptx
Chinmaya Tiranga quiz Grand Finale.pdf
AI-driven educational solutions for real-life interventions in the Philippine...
TNA_Presentation-1-Final(SAVE)) (1).pptx
1.3 FINAL REVISED K-10 PE and Health CG 2023 Grades 4-10 (1).pdf
Soft-furnishing-By-Architect-A.F.M.Mohiuddin-Akhand.doc
LDMMIA Reiki Yoga Finals Review Spring Summer
20th Century Theater, Methods, History.pptx
OBE - B.A.(HON'S) IN INTERIOR ARCHITECTURE -Ar.MOHIUDDIN.pdf
FOISHS ANNUAL IMPLEMENTATION PLAN 2025.pdf
ChatGPT for Dummies - Pam Baker Ccesa007.pdf
Environmental Education MCQ BD2EE - Share Source.pdf

Methods of illustrating evolutionary relationship

  • 1. Methods of illustrating evolutionary relationship Different methods of phylogenetic tree construction: • Phylogenetics is the study of genetic relatedness of individuals of the same, or different, species. • Through phylogenetics, evolutionary relationships can be inferred. • A phylogenetic tree may be rooted or unrooted, depending on whether the ancestral root is known or unknown, respectively. • A phylogenetic tree’s root is the origin of evolution of the individuals studied. • Branches between leaves show the evolutionary relationships between sequences, individuals, or species, and branch length represents evolutionary time. • When constructing and analyzing phylogenetic trees, it is important to remember that the resulting tree is simply an estimate and is unlikely to represent the true evolutionary tree of life. • Various methods can be used to construct a phylogenetic tree. • The two most commonly used and most robust approaches are maximum likelihood and Bayesian methods. Distance-matrix methods Distance-matrix methods are rapid approaches that measure the genetic distances between sequences. After having aligned the sequences through multiple sequence alignment, the proportion of mismatched positions is calculated. From this, a matrix is constructed that describes the genetic distance between each sequence pair. In the resulting phylogenetic tree, closely-related sequences are found under the same interior node, and the branch lengths represent the observed genetic distances between sequences. • Neighbor joining (NJ), and Unweighted Pair Group Method (UPGMA) are two distance-matrix methods.
  • 2. • NJ and UPGMA produce unrooted and rooted trees, respectively. • NJ is a bottom-up clustering algorithm. • The main advantages of NJ are its rapid speed, regardless of dataset size, and that it does not assume an equal rate of evolution amongst all lineages. • Despite this, NJ only generates one phylogenetic tree, even when there are several possibilities. • UPGMA is an unweighted method, meaning that each genetic distance contributes equally to the overall average. • UPGMA is not a particularly popular method as it makes various assumptions, including the assumption that the evolutionary rate is equal for all lineages. Maximum parsimony • Maximum parsimony attempts to reduce branch length by minimizing the number of evolutionary changes required between sequences. • The optimal tree would be the shortest tree with the fewest mutations. • All potential trees are evaluated, and the tree with the least amount of homoplasy, or convergent evolution, is selected as the most likely tree. • Since the most-parsimonious tree is always the shortest tree, it may not necessarily best represent the evolutionary changes that have occurred. • Also, maximum parsimony is not statistically consistent, leading to issues when drawing conclusions. Maximum likelihood • Despite being slow and computationally expensive, maximum likelihood is the most commonly used phylogenetic method used in research papers, and it is ideal for phylogeny construction from sequence data. • For each nucleotide position in a sequence, the maximum likelihood algorithm estimates the probability of that position being a particular nucleotide, based on whether the ancestral sequences possessed that specific nucleotide.
  • 3. • The cumulative probabilities for the entire sequence are calculated for both branches of a bifurcating tree. • The likelihood of the whole tree is provided by the sum of the probabilities of both branches of the tree. • Maximum likelihood is based on the concept that each nucleotide site evolves independently, enabling phylogenetic relationships to be analyzed at each site. • The maximum likelihood method can be carried out in a reasonable amount of time for four sequences. • If more than four sequences are to be analyzed, then basic trees are constructed for the initial four sequences, and further sequences are subsequently added, and maximum likelihood is recalculated. • Bias can be introduced into the calculation as the order in which the sequences are added, and the initial sequence used, play pivotal roles in the outcome of the tree. • Bias can be avoided by repeating the entire process multiple times at random so that the majority rule consensus tree can be selected. Bayesian inference • Bayesian inference methods assume phylogeny by using posterior probabilities of phylogenetic trees. • A posterior probability is generated for each tree by combining its prior probability with the likelihood of the data. • A phylogeny is best represented by the tree with the highest posterior probability. • Not only does Bayesian inference produce results that can be easily interpreted; it can also incorporate prior information and complex models of evolution into the analysis, as well as accounting for phylogenetic uncertainty.
  • 4. Determining Evolutionary Relationships • In general, organisms that share similar physical features and genomes tend to be more closely related than those that do not. Such features that overlap both morphologically (in form) and genetically are referred to as homologous structures; they stem from developmental similarities that are based on evolution. For example, the bones in the wings of bats and birds have homologous structures • Bat and bird wings are homologous structures, indicating that bats and birds share a common evolutionary past. • A phylogeny, phylogenetic tree, or evolutionary tree is a diagram showing the evolutionary relationships between a group of organisms. • Closely related species are likely to have similar characteristics, with some differences. Thus, if one species is known to have certain characteristics, such as containing beneficial drugs, it is reasonable to suppose that closely related species may contain similar drugs. The Narcissus (daffodil) genus is one plant family that contains these potentially life-saving drugs. Papers have been published about the search for Alzheimer’s treatments (Rønsted et al., 2010) and anti-viral drugs (Ooi et al., 2010) in the genus Narcissus. There has also been a paper on the evolution of stylar polymorphisms in this genus (Graham and Barrett, 2004). These papers are freely available online. Some DNA and protein sequences have been determined for several species
  • 5. of Narcissus and these have been used to try to understand the evolutionary relationships of species within this genus. Misleading Appearances • Some organisms may be very closely related, even though a minor genetic change caused a major morphological difference to make them look quite different. • Similarly, unrelated organisms may be distantly related, but appear very much alike. • This usually happens because both organisms were in common adaptations that evolved within similar environmental conditions. • When similar characteristics occur because of environmental constraints and not due to a close evolutionary relationship, it is called an analogy or homoplasy. • Similar traits can be either homologous or analogous. • Homologous structures share a similar embryonic origin; analogous organs have a similar function. • Two succulent plant genera, Euphorbia and Astrophytum, are only distantly related, but the species within each have converged on a similar body form. • For example, the bones in the front flipper of a whale are homologous to the bones in the human arm. Molecular Comparisons • With the advancement of DNA technology, the area of molecular systematics, which describes the use of information on the molecular level including DNA analysis, has blossomed. • New computer programs not only confirm many earlier classified organisms, but also uncover previously made errors.
  • 6. • As with physical characteristics, even the DNA sequence can be tricky to read in some cases. • For some situations, two very closely related organisms can appear unrelated if a mutation occurred that caused a shift in the genetic code. • An insertion or deletion mutation would move each nucleotide base over one place, causing two similar codes to appear unrelated. • Sometimes two segments of DNA code in distantly related organisms randomly share a high percentage of bases in the same locations, causing these organisms to appear closely related when they are not. • For both of these situations, computer technologies have been developed to help identify the actual relationships, and, ultimately, the coupled use of both morphologic and molecular information is more effective in determining phylogeny. Evolution Connection • Evolutionary biologists could list many reasons why understanding phylogeny is important to everyday life in human society. • For botanists, phylogeny acts as a guide to discovering new plants that can be used to benefit people. • Think of all the ways humans use plants—food, medicine, and clothing are a few examples. • If a plant contains a compound that is effective in treating cancer, scientists might want to examine all of the relatives of that plant for other useful drugs. • A research team in China identified a segment of DNA thought to be common to some medicinal plants in the family Fabaceae (the legume family) and worked to identify which species had this segment. After testing plant species in this family, the team found a DNA marker (a known location on a chromosome that enabled them to identify the species) present. Then, using the DNA to uncover phylogenetic relationships, the team could identify
  • 7. whether a newly discovered plant was in this family and assess its potential medicinal properties. *Dalbergia sissoo (D. sissoo) is in the Fabaceae, or legume family. Scientists found that D. sissoo shares a DNA marker with species within the Fabaceae family that have antifungal properties. Subsequently, D. sissoo was shown to have fungicidal activity, supporting the idea that DNA markers can be used to screen for plants with potential medicinal properties. Building Phylogenetic Trees • After the homologous and analogous traits are sorted, scientists often organize the homologous traits using a system called cladistics. • This system sorts organisms into clades: groups of organisms that descended from a single ancestor.
  • 8. • For example, all of the organisms in the orange region evolved from a single ancestor that had amniotic eggs. • Consequently, all of these organisms also have amniotic eggs and make a single clade, also called a monophyletic group. Art Connection • All the organisms within a clade stem from a single point on the tree. • A clade may contain multiple groups, as in the case of animals, fungi and plants, or a single group, as in the case of flagellates. • Groups that diverge at a different branch point, or that do not include all groups in a single branch point, are not considered clades. Shared Characteristics • Organisms evolve from common ancestors and then diversify. Scientists use the phrase “descent with modification” because even though related organisms have many of the same characteristics and genetic codes,
  • 9. changes occur. This pattern repeats over and over as one goes through the phylogenetic tree of life: 1. A change in the genetic makeup of an organism leads to a new trait which becomes prevalent in the group. 2. Many organisms descend from this point and have this trait. 3. New variations continue to arise: some are adaptive and persist, leading to new traits. 4. With new traits, a new branch point is determined (go back to step 1 and repeat). • If a characteristic is found in the ancestor of a group, it is considered a shared ancestral character because all of the organisms in the taxon or clade have that trait. The vertebrate is a shared ancestral character. Now consider the amniotic egg characteristic in the same figure. Only some of the organisms have this trait, and to those that do, it is called a shared derived character because this trait derived at some point but does not include all of the ancestors in the tree. • The tricky aspect to shared ancestral and shared derived characters is the fact that these terms are relative. The same trait can be considered one or the other depending on the particular diagram being used. • These terms help scientists distinguish between clades in the building of phylogenetic trees. Choosing the Right Relationships • Imagine being the person responsible for organizing all of the items in a department store properly—an overwhelming task. • Organizing the evolutionary relationships of all life on Earth proves much more difficult: scientists must span enormous blocks of time and work with information from long-extinct organisms.
  • 10. • Trying to decrypt the proper connections, especially given the presence of homologies and analogies, makes the task of building an accurate tree of life extraordinarily difficult. • Add to that the advancement of DNA technology, which now provides large quantities of genetic sequences to be used and analyzed. • Taxonomy is a subjective discipline: many organisms have more than one connection to each other, so each taxonomist will decide the order of connections. • To aid in the tremendous task of describing phylogenies accurately, scientists often use a concept called maximum parsimony, which means that events occurred in the simplest, most obvious way. • For example, if a group of people entered a forest preserve to go hiking, based on the principle of maximum parsimony, one could predict that most of the people would hike on established trails rather than forge new ones. • For scientists deciphering evolutionary pathways, the same idea is used: the pathway of evolution probably includes the fewest major events that coincide with the evidence at hand. • Starting with all of the homologous traits in a group of organisms, scientists look for the most obvious and simple order of evolutionary events that led to the occurrence of those traits.