Posts tagged retina

Posts tagged retina
An important scientific breakthrough by a team of IRCM researchers led by Michel Cayouette, PhD, is being published today by The Journal of Neuroscience. The Montréal scientists discovered that a protein found in the retina plays an essential role in the function and survival of light-sensing cells that are required for vision. These findings could have a significant impact on our understanding of retinal degenerative diseases that cause blindness.

The researchers studied a process called compartmentalization, which establishes and maintains different compartments within a cell, each containing a specific set of proteins. This process is crucial for neurons (nerve cells) to function properly.
“Compartments within a cell are much like different parts of a car,” explains Vasanth Ramamurthy, PhD, first author of the study. “In the same way that gas must be in the fuel tank in order to power the car’s engine, proteins need to be in a specific compartment to properly exercise their functions.”
A good example of compartmentalization is observed in a specialized type of light-sensing neurons found in the retina, the photoreceptors, which are made up of different compartments containing specific proteins essential for vision.
“We wanted to understand how compartmentalization is achieved within photoreceptor cells,” says Dr. Cayouette, Director of the Cellular Neurobiology research unit at the IRCM. “Our work identified a new mechanism that explains this process. More specifically, we found that a protein called Numb functions like a traffic controller to direct proteins to the appropriate compartments.”
“We demonstrated that in the absence of Numb, photoreceptors are unable to send a molecule essential for vision to the correct compartment, which causes the cells to progressively degenerate and ultimately die,” adds Dr. Ramamurthy, who carried out the project in Dr. Cayouette’s laboratory in collaboration with Christine Jolicoeur, research assistant. “This is important because the death of photoreceptor cells is known to cause retinal degenerative diseases in humans that lead to blindness. Our work therefore provides a new piece of the puzzle to help us better understand how and why the cells die.”
“We believe our results could eventually have a substantial impact on the development of treatments for retinal degenerative diseases, like retinitis pigmentosa and Leber’s congenital amaurosis, by providing novel drug targets to prevent photoreceptor degeneration,” concludes Dr. Cayouette.
According to the Foundation Fighting Blindness Canada, millions of people in North America live with varying degrees of irreversible vision loss because they have an untreatable, degenerative eye disorder that affects the retina. Research aiming to better understand what causes vision loss could lead to preserving and restoring sight.
(Source: ircm.qc.ca)
Researchers at the Gladstone Institutes and University of California, San Francisco have shown that a loss of cells in the retina is one of the earliest signs of frontotemporal dementia (FTD) in people with a genetic risk for the disorder—even before any changes appear in their behavior.

Published today in the Journal of Experimental Medicine, the researchers, led by Gladstone investigator Li Gan, PhD and UCSF associate professor of neurology Ari Green, MD, studied a group of individuals who had a certain genetic mutation that is known to result in FTD. They discovered that before any cognitive signs of dementia were present, these individuals showed a significant thinning of the retina compared with people who did not have the gene mutation.
“This finding suggests that the retina acts as a type of ‘window to the brain,’” said Dr. Gan. “Retinal degeneration was detectable in mutation carriers prior to the onset of cognitive symptoms, establishing retinal thinning as one of the earliest observable signs of familial FTD. This means that retinal thinning could be an easily measured outcome for clinical trials.”
Although it is located in the eye, the retina is made up of neurons with direct connections to the brain. This means that studying the retina is one of the easiest and most accessible ways to examine and track changes in neurons.
Lead author Michael Ward, MD, PhD, a postdoctoral fellow at the Gladstone Institutes and assistant professor of neurology at UCSF, explained, “The retina may be used as a model to study the development of FTD in neurons. If we follow these patients over time, we may be able to correlate a decline in retinal thickness with disease progression. In addition, we may be able to track the effectiveness of a treatment through a simple eye examination.”
The researchers also discovered new mechanisms by which cell death occurs in FTD. As with most complex neurological disorders, there are several changes in the brain that contribute to the development of FTD. In the inherited form researched in the current study, this includes a deficiency of the protein progranulin, which is tied to the mislocalization of another crucial protein, TDP-43, from the nucleus of the cell out to the cytoplasm.
However, the relationship between neurodegeneration, progranulin, and TDP-43 was previously unclear. In follow-up studies using a genetic mouse model of FTD, the scientists were able to investigate this connection for the first time in neurons from the retina. They identified a depletion of TDP-43 from the cell nuclei before any signs of neurodegeneration occurred, signifying that this loss may be a direct cause of the cell death associated with FTD.
TDP-43 levels were shown to be regulated by a third cellular protein called Ran. By increasing expression of Ran, the researchers were able to elevate TDP-43 levels in the nucleus of progranulin-deficient neurons and prevent their death.
“With these findings,” said Dr. Gan, “we now not only know that retinal thinning can act as a pre-symptomatic marker of dementia, but we’ve also gained an understanding into the underlying mechanisms of frontotemporal dementia that could potentially lead to novel therapeutic targets.”
(Source: gladstoneinstitutes.org)
The Social Psychology of Nerve Cells
The functional organization of the central nervous system depends upon a precise architecture and connectivity of distinct types of neurons. Multiple cell types are present within any brain structure, but the rules governing their positioning, and the molecular mechanisms mediating those rules, have been relatively unexplored.
A new study by UC Santa Barbara researchers demonstrates that a particular neuron, the cholinergic amacrine cell, creates a “personal space” in much the same way that people distance themselves from one another in an elevator. In addition, the study, published in the Proceedings of the National Academy of Sciences, shows that this feature is heritable and identifies a genetic contributor to it, pituitary tumor-transforming gene 1 (Pttg1).
Patrick Keeley, a postdoctoral scholar in Benjamin Reese’s laboratory at UCSB’s Neuroscience Research Institute, has been using the retina as a model system for exploring such principles of developmental neurobiology. The retina is ideal because this portion of the central nervous system lends itself to such spatial analysis.
“Populations of neurons in the retina are laid out in single strata within this layered structure, lending themselves to accurate quantitation and statistical analysis,” explained Keeley. “Rather than being distributed as regular lattices of nerve cells, populations in the retina appear to abide by a simple rule, that of minimizing proximity to other cells of the same type. We would like to understand how such populations create and maintain such spacing behavior.”
To address this, Keeley and colleagues quantified the regularity in the population of a particular type of amacrine cell in the mouse retina. They did so in 26 genetically distinct strains of mice and found that every strain exhibited this same self-spacing behavior but that some strains did so more efficiently than others. Amacrine cells are retinal interneurons that form connections between other neurons and regulate bipolar cell output.
“The regularity in the patterning of these amacrine cells showed little variation within each strain, while showing conspicuous variation between the strains, indicating a heritable component to this trait,” said Keeley.
“This itself was something of a surprise, given that the patterning in such populations has an apparently stochastic quality to it,” said Reese, a professor in the Department of Psychological and Brain Sciences. Stochastic systems are random and are analyzed, at least in part, using probability theory.
This strain variation in the regularity of this cellular patterning showed a significant linkage to a location in the genome on chromosome 11, where the researchers identified Pttg1, previously unknown to play any role in the retina.
Working in collaboration with colleagues at the University of Tennessee Health Science Center in Memphis, Keeley’s team demonstrated that the expression of this gene varies across the 26 strains of mice and that there was a positive correlation between gene expression and regularity. They then identified a mutation in this gene that itself correlated with expression levels and with regularity. Working with colleagues at Cedars-Sinai Medical Center in Los Angeles, the team also demonstrated directly that this mutation controlled gene expression.
“Pttg1 has diverse functions, being an oncogene for pituitary tumors, and is known to have regulatory functions orchestrating gene expression elsewhere in the body,” explained Keeley. “Within this class of retinal neurons, it should be regulating the way in which cells integrate signals from their immediate neighbors, translating that information to position the cell farthest from those neighbors.” Future studies should decipher the genetic network controlled by Pttg1 that mediates such nerve-cell spacing.
Exploring How the Nervous System Develops
The circuitry of the central nervous system is immensely complex and, as a result, sometimes confounding. When scientists conduct research to unravel the inner workings at a cellular level, they are sometimes surprised by what they find.
Patrick Keeley, a postdoctoral scholar in Benjamin Reese’s laboratory at UC Santa Barbara’s Neuroscience Research Institute, had such an experience. He spent years analyzing different cell types in the retina, the light-sensitive layer of tissue lining the inner surface of the eye that mediates the first stages of visual processing. The results of his research are published today in the journal Developmental Cell.
Using a rodent model, Keeley and his colleagues quantified the number of cells present in each retina for 12 different retinal cell types across 30 genetically distinct lines of mice. For every cell type the team investigated, the researchers found a remarkable degree of variation in cell number across the strains. More surprising, the variation in the number of different cell types was largely independent of one another across the strains. This has substantial implications for retinal wiring during cellular development.
“These cells are connected to each other, and their convergence ratios are believed to underlie various aspects of visual processing,” Keeley explained, “so it was expected that the numbers of these cell types might be correlated. But that was not the case at all. We found very few significant correlations and even the ones we did find were modest.”
Using quantitative trait locus (QTL) analysis — a statistical method that links two types of information, in this case cell number and genetic markers — Keeley’s team compared not only the covariance between different types of cells but also the genetic co-regulation of their number. When they mapped the variation in cell number to locations within the genome, the locations were rarely the same for different types of cells. The result was entirely unexpected.
“Current views of retinal development propose that molecular switches control the alternate fates a newborn neuron should adopt, leading one to expect negative correlations between certain cell types,” said Reese, who is also a professor in UCSB’s Department of Psychological and Brain Sciences. “Still others have proposed that synaptically connected nerve cells ‘match’ their pre- and post-synaptic numbers through a process of naturally occurring cell death, leading one to expect positive correlations between connected cell types. Neither expectation was borne out.”
“If the cell types are not correlated, then some mice will have retinas with a lot of one cell type — say, photoreceptors — but not a lot of another cell type to connect to, in this case bipolar cells, or vice versa,” Keeley added. “So how does the developing retina accommodate this variation?”
The authors posit that since the ratios of pre- to post-synaptic cell number are not precisely controlled, the rules for connecting them should offer a degree of plasticity as they wire their connections during development.
Take bipolar cells as an example. To test this assumption, the scientists looked at the morphology of their dendrites, the threadlike extensions of a neuron that gather synaptic input. Keeley and coworkers examined their size, their branching pattern and the number of contacts they formed as a function of the number of surrounding bipolar cells and the number of photoreceptors across these different strains.
“We found that the extent of dendritic growth was proportional to the local density of bipolar cells,” Keeley explained. “If there are more, they grow smaller dendrites. If there are fewer, they grow larger dendrites.
“Photoreceptor number, on the other hand, had no effect upon the size of the dendritic field of the bipolar cells but determined the frequency of branching made by those very dendrites,” he added. “This plasticity in neural circuit assembly ensures that the nervous system modulates its connectivity to accommodate the independent variation in cell number.”
This research gives scientists an idea of how individual cell types are generated, how they differentiate and how they form appropriate connections with one another. Researchers in the Reese lab are trying to understand the genes that control these processes.
“I think that’s important when we discuss cellular therapeutics such as transplanting stem cells to replace cells that are lost,” Keeley said. “We’re going to need this sort of fundamental knowledge about neural development to promote the differentiation and integration of transplanted stem cells. This focus on genetic and cellular mechanisms is going to be important for developing new therapies to treat developmental disorders affecting the eye.”
A type of retina cell plays a more critical role in vision than previously known, a team led by Johns Hopkins University researchers has discovered.

Working with mice, the scientists found that the ipRGCs – an atypical type of photoreceptor in the retina – help detect contrast between light and dark, a crucial element in the formation of visual images. The key to the discovery is the fact that the cells express melanopsin, a type of photopigment that undergoes a chemical change when it absorbs light.
“We are quite excited that melanopsin signaling contributes to vision even in the presence of functional rods and cones,” postdoctoral fellow Tiffany M. Schmidt said.
Schmidt is lead author of a recently published study in the journal Neuron. The senior author is Samer Hattar, associate professor of biology in the university’s Krieger School of Arts and Sciences. Their findings have implications for future studies of blindness or impaired vision.
Rods and cones are the most well-known photoreceptors in the retina, activating in different light environments. Rods, of which there are about 120 million in the human eye, are highly sensitive to light and turn on in dim or low-light environments. Meanwhile the 6 million to 7 million cones in the eye are less sensitive to light; they drive vision in brighter light conditions and are essential for color detection.
Rods and cones were thought to be the only light-sensing photoreceptors in the retina until about a decade ago when scientists discovered a third type of retinal photoreceptor – the ipRGC, or intrinsically photosensitive retinal ganglion cell – that contains melanopsin. Those cells were thought to be needed exclusively for detecting light for non-image-dependent functions, for example, to control synchronization of our internal biological clocks to daytime and the constriction of our pupils in response to light.
“Rods and cones were thought to mediate vision and ipRGCs were thought to mediate these simple light-detecting functions that happen outside of conscious perception,” Schmidt said. “But our experiments revealed that ipRGCs influence a greater diversity of behaviors than was previously known and actually contribute to an important aspect of image-forming vision, namely contrast detection.”
The Johns Hopkins team along with other scientists conducted several experiments with mice and found that when melanopin was present in the retinal ganglion cells, the mice were better able to see contrast in a Y-shaped maze, known as the visual water task test. In the test, mice are trained to associate a pattern with a hidden platform that allows them to escape the water. Mice that had the melanopsin gene intact had higher contrast sensitivity than mice that lack the gene.
“Melanopsin signaling is essential for full contrast sensitivity in mouse visual functions,” said Hattar. “The ipRGCs and melanopsin determine the threshold for detecting edges in the visual scene, which means that visual functions that were thought to be solely mediated by rods and cones are now influenced by this system. The next step is to determine if melanopsin plays a similar role in the human retina for image-forming visual functions.”
(Source: releases.jhu.edu)
Wiring of retina reveals how eyes sense motion
Online gamers helped researchers map neuron connections involved in detecting direction of moving objects.
A vast project to map neural connections in the mouse retina may have answered the long-standing question of how the eyes detect motion. With the help of volunteers who played an online brain-mapping game, researchers showed that pairs of neurons positioned along a given direction together cause a third neuron to fire in response to images moving in the same direction.
It is sometimes said that we see with the brain rather than the eyes, but this is not entirely true. People can only make sense of visual information once it has been interpreted by the brain, but some of this information is processed partly by neurons in the retina. In particular, 50 years ago researchers discovered that the mammalian retina is sensitive to the direction and speed of moving images. This showed that motion perception begins in the retina, but researchers struggled to explain how.
New technique classifies retinal neurons into 15 categories, including some previously unknown types.

As we scan a scene, many types of neurons in our retinas interact to analyze different aspects of what we see and form a cohesive image. Each type is specialized to respond to a particular variety of visual input — for example, light or darkness, the edges of an object, or movement in a certain direction.
Neuroscientists believe there are 20 to 30 types of these specialized neurons, known as retinal ganglion cells, but they have yet to come up with a definitive classification system.
A new study from MIT neuroscientists has made some headway on this daunting task. Using a computer algorithm that traces the shapes of neurons and groups them based on structural similarity, the researchers sorted more than 350 mouse retinal neurons into 15 types, including six that were previously unidentified.
This technique, described in the March 24 online edition of Nature Communications, could also be deployed to help identify the huge array of neurons found in the brain’s cortex, says Uygar Sumbul, an MIT postdoc and one of the lead authors of the paper. “This delineates a program that we should be doing for the rest of the retina, and elsewhere in the brain, to robustly and precisely know the cell types,” he says.
The paper’s other lead author is former MIT postdoc Sen Song. Sebastian Seung, a former MIT professor of brain and cognitive sciences and physics who is now at Princeton University, is the paper’s senior author.
(Source: web.mit.edu)
Motion-Sensing Cells in the Eye Let the Brain ‘Know’ About Directional Changes
How do we “know” from the movements of speeding car in our field of view if it’s coming straight toward us or more likely to move to the right or left?
Scientists have long known that our perceptions of the outside world are processed in our cortex, the six-layered structure in the outer part of our brains. But how much of that processing actually happens in cortex? Do the eyes tell the brain a lot or a little about the content of the outside world and the objects moving within it?
In a detailed study of the neurons linking the eyes and brains of mice, biologists at UC San Diego discovered that the ability of our brains and those of other mammals to figure out and process in our brains directional movements is a result of the activation in the cortex of signals that originate from the direction-sensing cells in the retina of our eyes.
“Even though direction-sensing cells in the retina have been known about for half a century, what they actually do has been a mystery- mostly because no one knew how to follow their connections deep into the brain,” said Andrew Huberman, an assistant professor of neurobiology, neurosciences and ophthalmology at UC San Diego, who headed the research team, which also involved biologists at the Salk Institute for Biological Sciences. “Our study provides the first direct link between direction-sensing cells in the retina and the cortex and thereby raises the new idea that we ‘know’ which direction things are moving specifically because of the activation of these direction-selective retinal neurons.” The study, recently published online, will appear in the March 20 print issue of Nature.
The discovery of the link between direction-sensing cells in the retina and the cortex has a number of practical implications for neuroscientists who treat disabilities in motion processing, such as dysgraphia, a condition sometimes associated with dyslexia that affects direction-oriented skills.
“Understanding the cells and neural circuits involved in sensing directional motion may someday help us understand defects in motion processing, such as those involved dyslexia, and it may inform strategies to treat or even re-wire these circuits in response to injury or common neurodegenerative diseases, such as glaucoma or Alzheimer’s,” said Huberman.
He and his team discovered the link in mice by using new types of modified rabies viruses that were pioneered by Ed Callaway, a professor at the Salk Institute, and by imaging the activity of neurons deep in the brain during visual experience.
Computer models help decode cells that sense light without seeing
Researchers have found that the melanopsin pigment in the eye is potentially more sensitive to light than its more famous counterpart, rhodopsin, the pigment that allows for night vision.
For more than two years, the staff of the Laboratory for Computational Photochemistry and Photobiology (LCPP) at Ohio’s Bowling Green State University (BGSU), have been investigating melanopsin, a retina pigment capable of sensing light changes in the environment, informing the nervous system and synchronizing it with the day/night rhythm. Most of the study’s complex computations were carried out on powerful supercomputer clusters at the Ohio Supercomputer Center (OSC).
The research recently appeared in the Proceedings of the National Academy of Sciences USA, in an article edited by Arieh Warshel, Ph.D., of the University of Southern California. Warshel and two other chemists received the 2013 Nobel Prize in Chemistry for developing multiscale models for complex chemical systems, the same techniques that were used in conducting the BGSU study, “Comparison of the isomerization mechanisms of human melanopsin and invertebrate and vertebrate rhodopsins.”
“The retina of vertebrate eyes, including those of humans, is the most powerful light detector that we know,” explains Massimo Olivucci, Ph.D., a research professor of Chemistry and director of LCPP in the Center for Photochemical Sciences at BGSU. “In the human eye, light coming through the lens is projected onto the retina where it forms an image on a mosaic of photoreceptor cells that transmits information from the surrounding environment to the brain’s visual cortex. In extremely poor illumination conditions, such as those of a star-studded night or ocean depths, the retina is able toperceive intensities corresponding to only a few photons, which are indivisible units of light. Such extreme sensitivity is due to specialized photoreceptor cells containing a light sensitive pigment called rhodopsin.”
For a long time, it was assumed that the human retina contained only photoreceptor cells specialized in dim-light and daylight vision, according to Olivucci. However, recent studies revealed the existence of a small number of intrinsically photosensitive nervous cells that regulate non-visual light responses. These cells contain a rhodopsin-like protein named melanopsin, which plays a role in the regulation of unconscious visual reflexes and in the synchronization of the body’s responses to the dawn/dusk cycle, known as circadian rhythms or the “body clock,” through a process known as photoentrainment.
The fact that the melanopsin density in the vertebrate retina is 10,000 times lower than that of rhodopsin density, and that, with respect to the visual photoreceptors, the melanopsin-containing cells capture a million-fold fewer photons, suggests that melanopsin may be more sensitive than rhodopsin. The comprehension of the mechanism that makes this extreme light sensitivity possible appears to be a prerequisite to the development of new technologies.
Both rhodopsin and melanopsin are proteins containing a derivative of vitamin A, which serves as an “antenna” for photon detection. When a photon is detected, the proteins are set in an activated state, through a photochemical transformation, which ultimately results in a signal being sent to the brain. Thus, at the molecular level, visual sensitivity is the result of a trade-off between two factors: light activation and thermal noise. It is currently thought that light-activation efficiency (i.e., the number of activation events relative to the total number of detected photons) may be related to its underlying speed of chemical transformation. On the other hand, the thermal noise depends on the number of activation events triggered by ambient body heat in the absence of photon detection.
“Understanding the mechanism that determines this seemingly amazing light sensitivity of melanopsin may open up new pathways in studying the evolution of light receptors in vertebrate and, in turn, the molecular basis of diseases, such as “seasonal affecting disorders,” Olivucci said. “Moreover, it provides a model for developing sub-nanoscale sensors approaching the sensitivity of a single-photon.”
For this reason, the LCPP group – working together with Francesca Fanelli, Ph.D., of Italy’s Università di Modena e Reggio Emilia – has used the methodology developed by Warshel and his colleagues to construct computer models of human melanopsin, bovine rhodopsin and squid rhodopsin. The models were constructed by BGSU research assistant Samer Gozem, Ph.D., BGSU visiting graduate student Silvia Rinaldi, who now has completed his doctorate, and visiting research assistant Federico Melaccio, Ph.D. – both visiting from Italy’s Università di Siena. The models were used to study the activation of the pigments and show that melanopsin light activation is the fastest, and its thermal activation is the slowest, which was expected for maximum light sensitivity.
The computer models of human melanopsin, and bovine and squid rhodopsins, provide further support for a theory reported by the LCPP group in the September 2012 issue of Science Magazine which explained the correlation between thermal noise and perceived color, a concept first proposed by the British neuroscientist Horace Barlow in 1957. Barlow suggested the existence of a link between the color of light perceived by the sensor and its thermal noise and established that the minimum possible thermal noise is achieved when the absorbing light has a wavelength around 470 nanometers, which corresponds to blue light.
“This wavelength and corresponding bluish color matches the wavelength that has been observed and simulated in the LCPP lab,” said Olivucci. “In fact, our calculations also indicate that a shift from blue to even shorter wavelengths (i.e. indigo and violet) will lead to an inversion of the trend and an increase of thermal noise towards the higher levels seen for a red color. Therefore, melanopsin may have been selected by biological evolution to stand exactly at the border between two opposite trends to maximize light sensitivity.”
Enzyme that produces melatonin originated 500 million years ago
An international team of scientists led by National Institutes of Health researchers has traced the likely origin of the enzyme needed to manufacture the hormone melatonin to roughly 500 million years ago.
Their work indicates that this crucial enzyme, which plays an essential role in regulating the body’s internal clock, likely began its role in timekeeping when vertebrates (animals with spinal columns) diverged from their nonvertebrate ancestors.
An understanding of the enzyme’s function before and after the divergence may contribute to an understanding of such melatonin-related conditions as seasonal affective disorder, jet lag, and to the understanding of disorders involving vision.
The findings provide strong support for the theory that the time-keeping enzyme originated to remove toxic compounds from the eye and then gradually morphed into the master switch for controlling the body’s 24-hour cyclic changes in function.
The researchers isolated a second, nonvertebrate form of the enzyme from sharks and other contemporary animals thought to resemble the prototypical early vertebrates that lived 500 million years ago.
The study, published online in PNAS, was conducted by senior author David C. Klein, Ph.D., Chief of the Section on Neuroendocrinology in the NIH’s Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and colleagues at NIH, and at institutions in France, Norway, and Japan.
Melatonin is a key hormone that regulates the body’s day and night cycle. Dr. Klein explained that it is manufactured in the brain’s pineal gland and is found in small amounts in the retina of the eye. Melatonin is produced from the hormone serotonin, the end result of a multistep sequence of chemical reactions. The next-to-last step in the assembly process consists of attaching a small molecule — the acetyl group — to the nearly finished melatonin molecule. This step is performed by an enzyme called arylalkylamine N-acetyltransferase, or AANAT.
Because of its key role in producing the body clock-regulating melatonin, AANAT is often referred to as the timezyme, Dr. Klein added.
The form of AANAT found in vertebrates occurs in the brain’s pineal gland and, in small amounts, in the retina. Another form of the enzyme, termed nonvertebrate AANAT, has been found only in other forms of life, such as bacteria, plants and insects.
“Nonvertebrate AANAT appears to detoxify a broad range of potentially toxic chemicals,” Dr. Klein said. “In contrast, vertebrate AANAT is highly specialized for adding an acetyl group to melatonin. The two are as different from each another as a Ferrari is from a Model-T Ford, considering the speed of the reaction and how fast it can be turned on and off.”
In 2004, Dr. Klein and his coworkers published a theory that melatonin was at first a kind of cellular waste, a by-product created in cells of the eye when normally toxic substances were rendered harmless. Because melatonin accumulated at night, the ancestors of today’s vertebrates became dependent on melatonin as a signal of darkness. As the need for greater quantities of melatonin grew, the pineal gland developed as a structure separate from the eyes, to keep serotonin and other toxic substances needed to make melatonin away from sensitive eye tissue.
“The pineal glands of birds and reptiles can detect light,” Dr. Klein said. “And the retinas of human beings and other species also make melatonin. So it would appear that both tissues evolved from a common, ancestral, light-detecting tissue.”
Before the current study, the researchers lacked proof of their theory, particularly in regard to the question of how the vertebrate form of the enzyme originated because it did not appear to exist in non-vertebrates and had been found only in bony fishes, reptiles, birds, and mammals — all of which lacked the non-vertebrate form.
The first evidence of how the vertebrate form of the enzyme originated came when study co-author Steven L. Coon, also of NICHD, discovered genes for the nonvertebrate and vertebrate forms of AANAT in genomic sequences from the elephant shark, considered to be a living representative of early vertebrates.
This finding indicated that the vertebrate form of AANAT may have resulted after a phenomenon known as gene duplication, Dr. Klein said. Gene duplication, he added, typically results from any of a number of genetic mishaps during cell division. Instead of one copy of a gene resulting from the process, an additional copy results, so that there are two versions of a gene where only one existed previously. The phenomenon is thought to be a major factor influencing evolutionary change.
The researchers theorized that following duplication, one form of AANAT remained unchanged and the other gradually evolved into the vertebrate form. Dr. Klein said that at some point after vertebrate AANAT developed, vertebrates appear to have stopped making the nonvertebrate form, perhaps because it was no longer needed or because its function was replaced by a similar enzyme.
Before the researchers could continue, they needed to confirm their finding, to rule out that the nonvertebrate AANAT they found didn’t result from accidental contamination with bacteria or some other organism. The NICHD researchers sought assistance from other research teams around the world. DNA from Mediterranean sharks and sea lampreys was obtained via fishermen’s catches by Jack Falcon of the Arago Laboratory, a marine biology facility that is part of the CNRS and the Pierre and Marie Curie University in France. Samples from a close relative of the elephant shark — the ratfish — were provided by Even-Jorgensen at the Arctic University of Norway. Finally, Susumo Hyodo of the University of Tokyo contributed samples from elephant sharks he collected off the coast of Australia.
Next, the Hyodo and Falcon groups isolated RNA from the retinas and pineal glands of the animals. RNA is used to direct the assembly of amino acids into proteins. From these RNA sequences, it was possible to assemble working versions of AANAT molecules — both the vertebrate and nonvertebrate forms.
The sequences of the proteins encoded by the AANAT genes were analyzed by Eugene Koonin and Yuri Wolf of the National Library of Medicine using computer techniques designed to study evolution. Peter Steinbach, of NIH’s Center for Information Technology, examined the three-dimensional structures of nonvertebrate and vertebrate AANAT in the study animals and determined that the two forms of the enzyme likely had a common ancestor.
Taken together, their results provide evidence for the hypothesis that nonvertebrate AANAT resulted from duplication of the non-vertebrate AANAT gene about 500 million years ago and that following this event one copy of the duplicated gene eventually changed into the gene for vertebrate AANAT.
In addition to providing information on the origin of melatonin and the evolution of AANAT, the findings also have implications for research on disorders affecting vision. Vertebrate AANAT and melatonin are found in small amounts in the eyes of humans and other vertebrates. Although they may play a role in detoxifying compounds, it is also reasonable to consider that this detoxifying function is shared with other enzymes.
“It’s possible that a malfunction in these other enzymes might lead to an accumulation of chemicals known as arylalkamines — in the same family as serotonin — and this might contribute to eye disease,” Dr. Klein said. “Consequently, research into how these enzymes function might lead to therapies to protect vision.”