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Low complexity regions in proteins

Low complexity regions in proteins 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 Low complexity regions in proteins rather than just read about it. In short: Low complexity regions (LCRs) in protein sequences, also defined in some contexts as compositionally biased regions (CBRs), are regions in protein sequences that differ from the composition and complexity of most proteins that is normally associated with globular structure. LCRs have different properties from normal regions regarding structure, function and evolution.

Key takeaways

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

Reference excerpt

Low complexity regions (LCRs) in protein sequences, also defined in some contexts as compositionally biased regions (CBRs), are regions in protein sequences that differ from the composition and complexity of most proteins that is normally associated with globular structure. LCRs have different properties from normal regions regarding structure, function and evolution.

Structure LCRs were originally thought to be unstructured and flexible linkers that served to separate the structured (and functional) domains of complex proteins, but they are also capable of forming secondary structures, like helices (more often) and even sheets. They may play a structural role in proteins such as collagens, myosin, keratins, silk, cell wall proteins. Tandem repeats of short oligopeptides that are rich in glycine, proline, serine or threonine are capable of forming flexible structures that bind ligands under certain pH and temperature conditions. Proline is a well-known alpha-helix breaker, however, amino acid repeats composed of proline may form poly-proline helices.

Functions LCRs were originally thought as 'junk' regions or as neutral linkers between domains; however, experimental and computational evidence increasingly indicates that they may play important adaptive and conserved roles, relevant to biotechnology, heterologous protein expression, medicine, as well as to our understanding of protein evolution. LCRs of eukaryotic proteins have been involved in human diseases, especially neurodegenerative ones, where they tend to form amyloids in humans and other eukaryotes. They have been reported to have adhesive roles, function in excreted sticky proteins used for prey capture, or have roles as transducers of molecular movement, e.g. in the prokaryotic TonB/TolA systems. LCRs may form surfaces for interaction with phospholipid bilayers, or as positive charge clusters for DNA binding, or as negative or even histidine-acidic charge clusters for coordinating calcium, magnesium or zinc ions. They may also play important roles in protein translation, as tRNA 'sponges', slowing down translation in order to allow time for the correct folding of the nascent polypeptide chain. They may even function as frame-shift checkpoints, by shifting to an unusual amino acid content that makes the protein highly unstable or insoluble, which in turn triggers fast recycling, before any further cellular damage. Analyses on model and non-model eukaryotic proteomes have revealed that LCRs are frequently found in proteins involved in binding of nucleic acids (DNA or RNA), in transcription, receptor activity, development, reproduction and immunity whereas metabolic proteins are depleted of LCRs. A bioinformatics study of the UniProt annotation of LCR containing proteins observed that 44% (9751/22259) of Bacterial and 44% (662/1521) of Archaeal LCRs are detected in proteins of unknown function, however, a significant number of proteins of known function (from many different species), especially those involved in translation and the ribosome, nucleic acid binding, metal-ion binding, and protein folding were also found to contain LCRs.

Properties LCRs are more abundant in eukaryotes, but they also have a significant presence in many prokaryotes. On average, 0.05 and 0.07% of the bacterial and archaeal proteomes (total amino acids of LCRs in a given proteome/total amino acids of that proteome) form LCRs whereas for five model eukaryotic proteomes (human, fruitfly, yeast, fission yeast, Arabidopsis) this coverage was significantly higher (on average, 0.4%; between 2 and 23 times higher than prokaryotes). Eukaryotic LCRs tend to be longer than prokaryotic LCRs. The average size of a eukaryotic LCR is 42 amino acids long, whereas bacterial, archaeal and phage LCRs are 38, 36 and 33 amino acids long, respectively. In the Archaea, the halobacterium Natrialba magadii has the highest number of LCRs and the highest enrichment for LCRs. In Bacteria, Enhygromyxa salina, a delta proteobacterium that belongs to myxobacteria has the highest number of LCRs and the highest enrichment for LCRs. Intriguingly, four of the top five bacteria with the highest enrichment for LCRs are also myxobacteria. The three most enriched amino acids within LCRs of Bacteria are proline, glycine and alanine, whereas in Archaea they are threonine, aspartate and proline. In Phages, they are alanine, glycine and proline. Glycine and proline emerge as very enriched amino acids in all three evolutionary lineages, whereas alanine is highly enriched in Bacteria and Phages but not enriched in Archaea. On the other hand, hydrophobic (M, I, L, V) and aromatic amino acids (F, Y, W) as well as cysteine, arginine and asparagine are heavily under-represented in LCRs. Very similar trends for amino acids with a high (G, A, P, S, Q) and low (M, V, L, I, W, F, R, C) occurrence within LCRs have been observed in eukaryotes as well. This observed pattern of certain amino acids being over-represented (enriched for) or under-represented in LCRs could be partially explained by the energy cost for synthesis or metabolism of each of the amino acids. Another possible explanation, which does not exclude the previous explanation of energy cost could be the reactivity of certain amino acids. For example, Cysteine is a very reactive amino acid that would not be tolerated in high numbers within a small region of a protein. Similarly, extremely hydrophobic regions can form non-specific protein–protein interactions among themselves and with other moderately hydrophobic regions in mammalian cells. Thus, their presence may disturb the balance of protein-protein interaction networks within the cell, especially if the carrier proteins are highly expressed. A third explanation may be based on micro-evolutionary forces and, more specifically, on the bias of DNA polymerase slippage for certain di- tri- or tetra-nucleotides .

Amino acid enrichment for certain functional categories of LCRs A bioinformatics analysis of prokaryotic LCRs identified 5 types of amino acid enrichment, for certain functional categories of LCRs:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Low complexity regions in proteins

Start with the simplest possible case. Write down what Low complexity regions in proteins 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 Low complexity regions in proteins 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 Low complexity regions in proteins 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 Low complexity regions in proteins

In research
Low complexity regions in proteins 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 Low complexity regions in proteins 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
Low complexity regions in proteins is common in secondary-school and first-year university syllabi. It links to neighbouring topics Proteomics, so understanding it makes those chapters shorter.
In everyday life
Look for Low complexity regions in proteins 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 Low complexity regions in proteins in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Low complexity regions in proteins 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 Low complexity regions in proteins out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Low complexity regions in proteins in simple terms?

Low complexity regions (LCRs) in protein sequences, also defined in some contexts as compositionally biased regions (CBRs), are regions in protein sequences that differ from the composition and complexity of most proteins that is normally associated with globular structure. LCRs have different prop…

Why does Low complexity regions in proteins 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 Low complexity regions in proteins?

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 Low complexity regions in proteins.

Tags

  • Proteomics

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