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Phylogenetic profiling

Phylogenetic profiling is a biology topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Phylogenetic profiling rather than just read about it. In short: Phylogenetic profiling is a bioinformatics technique in which the joint presence or joint absence of two traits across large numbers of species is used to infer a meaningful biological connection, such as involvement of two different proteins in the same biological pathway. Along with examination of conserved synteny, conserved operon structure, or "Rosetta Stone" domain fusions, comparing phylogenetic profiles is a…

Key takeaways

  • Phylogenetic profiling belongs to biology; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Phylogenetic profiling to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Phylogenetic profiling from memory before moving on to harder problems.

Reference excerpt

Phylogenetic profiling is a bioinformatics technique in which the joint presence or joint absence of two traits across large numbers of species is used to infer a meaningful biological connection, such as involvement of two different proteins in the same biological pathway. Along with examination of conserved synteny, conserved operon structure, or "Rosetta Stone" domain fusions, comparing phylogenetic profiles is a designated "post-homology" technique, in that the computation essential to this method begins after it is determined which proteins are homologous to which. A number of these techniques were developed by David Eisenberg and colleagues; phylogenetic profile comparison was introduced in 1999 by Pellegrini, et al.

Method Over 2000 species of bacteria, archaea, and eukaryotes are now represented by complete DNA genome sequences. Typically, each gene in a genome encodes a protein that can be assigned to a particular protein family on the basis of homology. For a given protein family, its presence or absence in each genome (in the original, binary, formulation) is represented by either 1 (present) or 0 (absent). Consequently, the phylogenetic distribution of the protein family can be represented by a long binary number with a digit for each genome; such binary representations are easily compared with each other to search for correlated phylogenetic distributions. The large number of complete genomes makes these profiles rich in information. The advantage of using only complete genomes is that the 0 values, representing the absence of a trait, tend to be reliable.

Theory Closely related species should be expected to have very similar sets of genes. However, changes accumulate between more distantly related species by processes that include horizontal gene transfer and gene loss. Individual proteins have specific molecular functions, such as carrying out a single enzymatic reaction or serving as one subunit of a larger protein complex. A biological process such as photosynthesis, methanogenesis, or histidine biosynthesis may require the concerted action of many proteins. If some protein critical to a process is lost, other proteins dedicated to that process would become useless; natural selection makes it unlikely these useless proteins will be retained over evolutionary time. Therefore, should two different protein families consistently tend to be either present or absent together, a likely hypothesis is that the two proteins cooperate in some biological process.

Advances and challenges Phylogenetic profiling has led to numerous discoveries in biology, including previously unknown enzymes in metabolic pathways, transcription factors that bind to conserved regulatory sites, and explanations for roles of certain mutations in human disease. Improving the method itself is an active area of scientific research because the method itself faces several limitations. First, co-occurrence of two protein families often represents recent common ancestry of two species rather than a conserved functional relationship; disambiguating these two sources of correlation may require improved statistical methods. Second, proteins grouped as homologs may differ in function, or proteins conserved in function may fail to register as homologs; improved methods for tailoring the size of each protein family to reflect functional conservation will lead to improved results.

Tools Tools include PLEX (Protein Link Explorer). (Now defunct) and JGI IMG (Integrated Microbial Genomes) Phylogenetic Profiler (for both single genes and gene cassettes).

Notes

Worked examples

Example 1 — a first encounter with Phylogenetic profiling

Start with the simplest possible case. Write down what Phylogenetic profiling claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Phylogenetic profiling before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Phylogenetic profiling ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Phylogenetic profiling

In research
Phylogenetic profiling appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Phylogenetic profiling in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Phylogenetic profiling is common in secondary-school and first-year university syllabi. It links to neighbouring topics Bioinformatics, so understanding it makes those chapters shorter.
In everyday life
Look for Phylogenetic profiling outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Phylogenetic profiling in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Phylogenetic profiling means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Phylogenetic profiling out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Phylogenetic profiling in simple terms?

Phylogenetic profiling is a bioinformatics technique in which the joint presence or joint absence of two traits across large numbers of species is used to infer a meaningful biological connection, such as involvement of two different proteins in the same biological pathway. Along with examination o…

Why does Phylogenetic profiling matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Phylogenetic profiling?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Phylogenetic profiling.

Tags

  • Bioinformatics

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