Category Archives: Uncategorized

The noxious nucleocapsid

“Structure informs function” says Hannah Stuwe, a second year PhD student in Biochemistry and Biophysics (BB), summing up the big picture of her discipline. Hannah works in the lab of Prof. Elisar Barbar, using biophysical techniques to study essential proteins encoded by the SARS-Cov2 virus.

Much attention has been paid to the spike protein of the SARS-Cov2 virion, which is the target of the vaccines developed during the COVID-19 pandemic. Hannah’s research digs into another crucial protein called the nucleocapsid, which plays a role in organizing and packaging the viral genome. Proteins are the primary molecular actors in most biological process, so a detailed structural understanding of the proteins involved could shed light into how the virus disrupts the infected cell. It could also help to develop therapies for people who contract COVID.

The SARS-Cov2 genome is made of RNA wound around nucleocapsids.

The primary analytical technique that Hannah uses is nuclear magnetic resonance (NMR), which probes the atomic nuclei within the protein using magnetic fields. Proteins mainly consist of hydrogen and nitrogen, so these two elements are analyzed separately with different NMR protocols. The resonance information from the individual hydrogen and nitrogen atoms can be combined into a two-dimensional landscape. This gives a rich picture of the protein structure, including how the conformation changes over time and how it interacts with RNAs and other proteins.

Hannah preparing samples for NMR analysis.

Hannah focuses on a short stretch of the nucleocapsid which is intrinsically disordered, meaning that it does not fold to a stable configuration. Instead, the structure of this region varies according to chemical modification by other proteins. When phosphoryl chemical groups are added, the region adopts an open configuration that exposes the viral genome, allowing it to be transcribed by the hijacked cell’s machinery. Without phosphorylation, the structure becomes more compact, possibly making it easier to spread the virion to other cells.

Hannah went to Oregon State for her undergraduate degree in BB and knew her advisor at the time. After graduating in 2019, she worked for a while at an industrial hemp company, working with natural cannabinoid products. Soon after, she felt the call to return to graduate school and accepted a laboratory job and eventually a PhD position with Prof. Barbar. For the rest of her degree, Hannah will analyze the mutations that are continually reshaping the SARS-Cov2 genome.

This is also a special episode because Hannah is in the process of joining the ID team as a host! To hear more about her research before she becomes a regular on the other side of the mic, tune in tonight, April 30th, at 7pm on 88.7 KBVR.

The opposite of a pest: Bees, wasps and other beneficial bugs

Lots of terrestrial invertebrates have bad reputations. Spiders, bees, flies, wasps, ants. They’re thought of as pests in the garden or they are perceived as threatening, possibly wanting to sting or bite us. I’ll admit it, I’m terrified and grossed out by most invertebrates every time I see one in my house. But this week’s guest may have successfully managed to get me to change my tune…

Scott (left) and his intern/doppelganger Tucker (right) in the field.

Scott Mitchell is a 4th year PhD student in the Department of Fisheries, Wildlife, and Conservation Sciences advised by Dr. Sandy DeBano. His overarching research goal is to understand how different land management practices may impact beneficial invertebrate communities in a variety of managed landscapes. Yes, you read that right: beneficial invertebrates. Because while many invertebrates have a bad rep, they’re actually unsung heroes of the world. They pollinate plants, aerate soil, eat actual pest invertebrates and are prey for many other species. In order to tackle his overarching research goal, Scott is conducting two studies in Oregon; one focuses on native bees while the second looks at non-pollinators such as wasps, spiders, and beetles.

(See captions for images at the end of the blog post)

The first study occurs in the Starkey Experimental Forest and Range which is managed by the US Forest Service. The initial research at Starkey in the 1900s was about how cattle grazing impacts on the land. Since then, many more studies have been undertaken and are ongoing, including about forest management, wildlife, plants, and recreation. For Scott’s study, he is collaborating with the Forest Service to look how bee community composition may differ in a number of experimental treatments that are already ongoing at Starkey. The two treatments that Scott is looking into are thinning (thinned vs unthinned forest) and ungulate density (high vs low). The current hypothesis is that in high ungulate densities, flower booms may be reduced due to high grazing and trampling by many ungulate (specifically elk) individuals, thus reducing the number of available blooms to bees. While in the thinning treatments, Scott is expecting to see more flower blooms available to bees in the thinned sites due to increased access to light and resources because of a reduced tree canopy cover. To accomplish this project, Scott collects bee samples in traps and handnets, as well as data on blooming plants.

(See captions for images at the end of the blog post)

Scott’s second study explores non-pollinator community composition in cherry orchards in the Dalles along the Columbia River Gorge. Agricultural landscapes, such as orchards, are heavily managed to produce and maximize a particular agricultural product. However, growers have options about how they choose to manage their land. So, Scott is working closely with a grower to see how different plants planted underneath orchards can benefit the grower and/or the ecology of the system as a whole. 

To hear more details about both of these projects, as well as Scott’s background and several minutes dedicated solely to raving about wasps, tune in this Sunday, April 23rd live on 88.7 FM or on the live stream. Missed the show? You can listen to the recorded episode on your preferred podcast platform! 

Figure captions

Image 1: This bright green native bee is foraging on flowers for nectar and pollen. It is probably in the genus Osmia.

Image 2: A brightly colored bumblebee foraging on a rose.

Image 3: This is one of the most common bumblebee species in western Oregon – the aptly named yellow-faced bumble bee (Bombus vosnesenskii).

Image 4: Most native bees, like this small mining bee are friendly creatures and will even crawl onto your hands or fingers if you let them. No bees (or human fingers) were harmed in the making of this photo.

Image 5: While Scott doesn’t know what his favorite wasp is, this large furry, friendly bee is his favorite native bee species. It is known as the Pacific digger bee or Anthophora pacifica. This is his favorite bee because they are very agile fliers and fun to watch foraging on flowers. They are a solitary species that lives in the ground.

Image 6: Not only are wasps beautiful, but sometimes the signs they leave behind can be too. This is a gall from a gall forming cynipid wasp. Wasp galls are a growth on plants that occurs when a wasp lays its eggs inside of a leaf or other plant structure.

Image 7: This is a pair of wasps in the family Sphecidae. The wasp on top is a male wasp (males are often smaller than females in wasps and bees) and he is likely guarding a potential mate by hanging onto her back.

Image 8: This is a beautiful bright metallic jewel wasp, probably in the family Chrysididae. This wasp was mentioned in the episode.

Image 9: This sphecid wasp is foraging on nectar on flowers. Many insects, including wasps, use nectar as an energy source in their adult life stage – even if they act as predators when foraging for their young.

Image 10: This is a tiny wasp on a flower. This wasp is around 1.5-3 millimeters long.

Local Game Developer and OSU Alumni Leads Second Annual TTRPG Fundraiser to Support Trans Advocacy Groups in Florida

Rue Dickey (they/he) is a returning guest to ID this week. You may remember Rue from last year as the organizer who helped raise over $400,000 for two trans rights organizations in Texas via Tabletop Role Playing Games (TTRPGs). Well, they’re back at it this year and we’re here to tell you all about it!

In February, 2022 Texas governor Greg Abbott called for teachers and members of the public to report parents of transgender children to authorities, equating providing support and medical care for trans youth to child abuse. This combined with a climate of increasing anti-trans legislation across the US, led Rue to take action. Rue is an Oregon State University alumnus and a freelance game developer, designing games for Hitpoint Press, Cobalt Press, and publishing independent work on game hosting platforms such as itch.io. Wanting to do something to help children and transgender people living in Texas, Rue decided to turn his passion for TTRPGs into a fundraiser. The online indie game hosting platform itch.io has been used in the past to create fundraisers for charities by bundling together and selling games. A few of Rue’s friends who run a BIPOC tabletop server have had experience with creating profit-sharing bundles using the platform in the past, so after he consulted them and walked through the steps, he set up a bundraiser. By the time of our interview with Rue in April, 2022 they had raised over $400,000 for TENT (Transgender Education Network of Texas, a trans-led group that works to combat misinformation on the community level through the corporate level, offering workshops as well as emergency relief funds for trans folks in need) and OLTT (Organización Latina Trans in Texas, a Latina trans woman-led organization focusing on transgender immigrants in Texas, assisting with the legal processes of immigration, name changes, and paperwork.) In addition to this they had been interviewed by several national news outlets, including NBC, Gizmodo, and The Mary Sue, as well as gaming-centric websites like Polygon, Dicebreaker, and GamesHub

Rue is a 2019 graduate of OSU’s Communications and Microbiology programs.

This year Rue is continuing the fundraiser, but focusing on Florida which has garnered national attention for anti-trans legislation such as the Parental Rights in Education Act, which restricts schools from including LGBTQ+ topics in curricula. The proposed expanded provisions to the act would ban teachers from addressing students by pronouns that differ from those they were assigned at birth, and staff would also be unable to share their own preferred pronouns if they deviate from those assigned at birth. Additionally, the Florida Board of Medicine enacted a rule that bars minors from starting puberty blockers or hormone therapy, essentially banning transition for those under the age of 18.

The organizations benefiting from the bundraiser this year are Zebra Youth Coalition (a network serving youth ages 13-24, that run shelters for youth that need safety and resources) and Transinclusive Group (a trans women of color-led coalition aimed at offering peer support, access to resources like HRT, and educating care providers in how to better take care of trans youth.) The current bundle launched on March 13th and has 505 game supplements and zines, the base price of which is $5 but the top donation is $1000. The fundraising goal for this year’s bundle is $250k, but in the couple of weeks since launching there’s already been $208k raised.

The bundle is live through April 6th, so there is still time to help reach their fundraising goal! To learn more about the fundraiser, tune into Rue’s episode this upcoming Sunday, March 26th at 7 PM! Be sure to listen live on KBVR 88.7FM, or download the podcast if you missed it.

Global swarming: getting robot swarms to perform intelligently

This week we have a robotics PhD student, Everardo Gonzalez, joining us to discuss his research on coordinating robots with artificial intelligence (AI). That doesn’t mean he dresses them up in matching bow ties (sadly), but instead he works on how to get a large collective of robots, also called a swarm, to work collectively towards a shared goal. 

Why should we care about swarming robots? 

Aside from the potential for an apocalyptic robot world domination, there are actually many applications for this technology. Some are just as terrifying. It could be applied to fully automated warfare – reducing accountability when no one is to blame for pulling the trigger (literally).

However, it could also be used to coordinate robots used in healthcare and with organizing fleets of autonomous vehicles, potentially making our lives, and our streets, safer. In the case of the fish-inspired Blue Bots, this kind of coordinated robot system can also help us gather information about our oceans as we try to resolve climate change.

Depiction of how the fish-inspired Blue Bots can observe their surroundings in a shared aquatic space, then send that information and receive feedback from the computer system. Driving the Blue Bots’ behavior is a network model, as depicted in the Agent A square.

#Influencer

Having a group of intelligent robots behaving intelligently sounds like it’s a problem of quantity, however, it’s not that simple. These bots can also suffer from there being “too many cooks in the kitchen”, and, if all bots in the swarm are intelligent, they can start to hinder each other’s progress. Instead, the swarm needs both a few leader bots, that are intelligent and capable of learning and trying new things, along with follower bots, which can learn from their leader. Essentially, the bots play a game of “Follow the Leaders”.

All robots receive feedback with respect to a shared objective, which is typical of AI training and allow the bots to infer which behaviors are effective. In this case, the leaders will get additional feedback on how well they are influencing their followers. 

Unlike social media, one influencer with too many followers is a bad thing – and the bots can become ineffective. There’s a famous social experiment in which actors in a busy New York City street stopped to stare at a window to determine if strangers would do the same. If there are not enough actors staring at the window, strangers are unlikely to respond. But as the number of actors increases, the likeness of a stranger stopping to look will also increase. The bot swarms also have an optimal number of leaders required to have the largest influence on their followers. Perhaps we’re much more like robots than the Turing test would have us believe. 

Dot to dot

We’re a long way from intelligent robot swarms, though, as Everardo is using simplified 2D particle simulations to begin to tackle this problem. In this case the particles replace the robots, and are essentially just dots (rodots?) in a shared environment that only has two dimensions. The objectives or points of interest for these dot bots are more dots! Despite these simplifications, translating system feedback into a performance review for the leaders is still a challenging problem to solve computationally. Everardo starts by asking the question “what if the leader had not been there”, but then you have to ask “what if the followers that followed that leader did something else?” and then you’ve opened a can of worms reminiscent of Smash Mouth where the “what if”’s start coming and they don’t stop coming.

Everardo Gonzalez

What if you wanted to know more about swarming robots? Be sure to listen live on Sunday February 26th at 7PM on 88.7FM, or download the podcast if you missed it. To learn a bit more about Everardo’s work with swarms and all things robotics, check out his portfolio at everardog.github.io

No longer a torrent of salamanders

We are pleased to introduce our upcoming guest, Christopher Cousins, a fourth-year PhD student in the Department of Fisheries and Wildlife, advised by Prof. Tiffany Garcia. Cousins is  researching torrent salamanders, a family of small amphibians endemic to the Pacific Northwest.

Chris is also an amateur photographer, check out his Instagram to see more wildlife pics!

The habitat for torrent salamanders stretches from the far north of California up through the Washington coast and includes distinct populations in the Cascade Range and the Oregon Coast Range. Torrent salamanders inhabit cold streams at relatively high altitude — the kind where few or no fish live, leaving the amphibians near or at the top of the local food chain. Such streams can be ephemeral, disappearing at times throughout the year and leaving salamanders vulnerable to desiccation. This problem is only expected to worsen as climate change further upends these water systems. Torrent salamanders are currently candidates for classification under the Endangered Species Act (ESA), the federal law which grants protections to threatened species. Logging presents another danger to salamander habitats, as reduced tree canopy cover can contribute to higher water temperatures. Under the ESA, officials could prohibit logging in buffer zones around small streams, granting salamander habitats the same protection as the larger streams where salmon live.

Chris’s work with salamanders takes many different forms. He has extensive experience in fieldwork, spending six months traveling throughout Oregon and Washington. He has used environmental DNA from water samples to detect torrent salamander populations in various streams. In another project, he collected DNA directly from approximately 150 salamanders. Chris performed both the lab work to process these samples and the bioinformatics analysis to assemble their DNA sequences. This summer, he plans to conduct a detailed survey of the streams of the streams in the H.J. Andrews Experimental Forest. The overarching goal of his PhD is to document the genetic diversity among torrent salamanders and characterize their population structure across the region, which he hopes will help inform the ESA decision-making process.

Chris remembers catching frogs and salamanders as a child – proof of his fascination with amphibians at a young age. His father was in the Navy, so the family moved around repeatedly, but Chris grew up mostly in Japan. Upon moving back to the US, he felt drawn to Oregon and enrolled at Lane community college before transferring to Oregon State to earn his bachelor’s degree as a first-generation college graduate. He remained at OSU for his graduate work due to the community of scientific mentors he had built. To hear more about his journey, what it is like to explore the Mt. St. Helens eruption zone, and what motivates him to work with this threatened species, tune in to KBVR 88.7 FM this this Sunday, Feb 19th, at 7pm.

Lasers and lipids : in search of a mechanism for dysferlin

This week on Inspiration Dissemination, we are looking forward to chatting with Andrew Carpenter, a postdoctoral fellow working in the lab of Professor Joe Baio in the School of Chemical, Biological, and Environmental Engineering.

Andrew’s research seeks a better understanding of a protein called dysferlin, which plays a critical role in repairing muscle cells.  Muscles undergo constant strain as they expand and contract, leading to tears in the sarcolemmas — thin membranes that surround muscle fibers. Dysferlin is responsible for recruiting vesicles to the site of these tears for a process called vesicle fusion to take place. Andrew likens this mechanism to using a denim patch to fix a hole in jeans, if the patch could become fully absorbed into the fabric in the way that vesicles eventually do into sarcolemmas. Dysferlin is clinically important because certain mutations (dysferlinopathies) to the gene encoding dysferlin lead to a disease called muscular dystrophy. The symptoms of dysferlinopathy typically include muscle weakness and damage to the musculoskeletal system, especially in the limbs.

Andrew working in the lab

The general importance of dysferlin to cell repair is well-established, but the molecular details of its mechanism of action are relatively unknown.  Andrew uses an advanced experimental method called sum-frequency spectroscopy to study the protein at high resolution. This procedure uses two lasers — one infrared and one visible green — and points them at the sample of interest. When the lasers hit the sample, a third beam of light is generated at the surface, carrying information about the vibrations of the molecules. Quantum mechanical calculations are used to examine the intensity of this light as a function of frequency. In Andrew’s research, a synthetic lipid monolayer serves as an in-vitro model of the sarcolemma, and he introduces the dysferlin protein either in its healthy form or with various mutations. Then he uses spectroscopy data to infer changes in protein orientation and binding. In the future, he intends to correlate his experiments with data from live cells.

Andrew first discovered his fascination with laser instrumentation as an undergraduate at Linfield University. After that, he obtained a PhD in Chemistry at the University of Oregon, where he used small oil droplets called nano-emulsions to study the oil-water interface. His background in physical chemistry and expertise in the sum-frequency spectroscopy method have enabled him to readily adapt to studying biological lipid interfaces. His research, including a recent publication, is currently supported by the National Science Foundation.

To hear more about Andrew’s research journey and the differences and similarities in being a postdoc and a graduate student, tune in after the Super Bowl this Sunday, February 12th, at 7pm on 88.7 FM KBVR.


Krypton-ice : what the noble gases tell us about the ancient climate

Tree rings famously reflect the age of the tree, but they can also encode information about the environmental conditions throughout the organism’s life. A similar principle motivates the study of ice cores – traces of the ancient atmosphere are preserved in the massive ice caps covering Earth’s polar regions.

This Sunday’s guest is Olivia Williams, a graduate student here at Oregon State who is helping to uncover the wealth of climate information harbored by polar ice cores. Olivia is a member of the College of Earth, Ocean and Atmospheric Sciences (CEOAS), where she is advised by Christo Buizert. Their lab uses ice cores to study paleoclimatology and heads the Center for Oldest Ice Exploration (COLDEX), a multi-institution NSF collaboration.

Drilling an ice core in the Arctic or Antarctic is an expensive and labor-intensive process. As a result, once they have been studied by project leads, most American ice core samples are centrally managed by the National Ice Core Lab in Denver, CO and carefully allocated to labs throughout the country. Researchers analyze cross-sections of the larger ice core sample for many geochemical features, including dust records, stable isotopes, and evidence of volcanic eruptions. Determining the historical levels of carbon dioxide, methane, and other greenhouse gases is one application of ice core analysis that yields important insights into climate change.

Olivia’s project focuses on “melt layers”, which are formed by a large-scale melting and refreezing event. The frequency and intensity of melt layers help characterize polar summer temperatures, and specifically the number of days above freezing. Typically, researchers use visual examination or optical instruments to locate layers with relatively smooth and bubble-free ice. However, such methods can fail further down in ice cores, where clathrate ice formed by increased pressure excludes all bubbles. In response, the lab of Jeffrey Severinghaus at the Scripps Institution of Oceanography developed a chemical method to serve as a supplement. This technique extracts noble gases from the core and compares the ratio of the heavier (xenon and krypton) to argon, the lightest noble gas. Since the heavier noble gases are more water-soluble, spikes in the relative concentration of krypton and xenon suggest that a melting event occurred.

During a typical day in the lab, Williams takes samples from the ice core stored at -20 C in a large walk-in freezer and handles the samples in chilled ethanol baths. She particularly focuses on ice cores from Greenland and time periods such as the last interglacial period ~120 thousand years ago and the early Holocene ~12 thousand years ago. Since the OSU lab’s noble gas methodology is novel, Olivia’s work involves a lot of design and troubleshooting the extraction line, which extracts the trapped gases. One time, she even had to commission a scientific glassblower for custom cold traps in the extraction line.

Williams’ interest in geology was impressed upon her at an early age, in part by the influence of her grandfather, a longtime science writer for the Seattle Times. Her grandfather’s love for the geology of the Pacific Northwest inspired her to follow in his footsteps as a scientific journalist. At Boston University, Olivia initially planned to major in communications, until she took a seminar on interdisciplinary science communication offered by BU Antarctic Research Lab, together with education and earth sciences majors. This experience helped solidify her interest in geology, and she switcher her major to earth sciences. Her senior research project related to nutrient cycling in salt marshes, but she knew that she eventually wanted to work in polar science and paleoclimatology. Besides her research at OSU, Olivia has stayed active in science communication, serving as the outreach chair for the CEOS graduate student association. She has helped organize education tables at the Corvallis Farmer’s Market. In the future, Olivia hopes to pursue an academic career and continue research and teaching in the field she loves but is open to the full range of earth science career paths.

For more on Olivia’s exciting research and to hear what it is like to drill ice from a lava formation, tune in this Sunday, January 22nd at 7PM on KBVR 88.7 FM or look out for the podcast upload on Spotify!

Lean, Mean, Bioinformatics Machine

Machines take me by surprise with great frequency. – Alan Turing

This week we have a PhD student from the College of Engineering and advised by Dr. Maude David in Microbiology, Nima Azbijari, to discuss how he uses machine learning to better understand biology. Before we dig in to the research, let’s dig into what exactly machine learning is, and how it differs from artificial intelligence (AI). Both AI and machine learning learn patterns from data they are fed, but the difference is that AI is typically developed to be interacted with and make decisions in real time. If you’ve ever lost a game of chess to a computer, that was AI playing against you. But don’t worry, even the world’s champion at an even more complex game, Go, was beaten by AI. AI utilizes machine learning, but not all machine learning is AI. Kind of like how a square is a rectangle, but not all rectangles are squares. The goal of machine learning is to use data to improve at tasks using data it is fed.

So how exactly does a machine, one of the least biological things on this planet, help us understand biology? 

Ten years ago it was big news that a computer was able to recognize images of cats, but now photo recognition is quite common. Similarly, Nima uses machine learning with large sets of genomic (genes/DNA), proteomic (proteins), and even gut microbiomic data (symbiotic microbes in the digestive track) to then see if the computer can predict varying patient outcomes. By using computational power, larger data sets and the relationships between the varying kinds of data can be analyzed more quickly. This is great for both understanding the biological world in which we live, and also for the potential future of patient care. 

How exactly do you teach an old machine a new trick?

First, it’s important to note that he’s using a machine, not magic, and it can be massively time consuming (even for a computer) to do any kind of analysis on every element of a massive set. Potentially millions of computations, or even more. So to isolate only the data that matters, Nima uses graph neural networks to extrapolate the important pieces. Imagine if you had a data set about your home, and you counted both the number of windows and the number of blinds and found that they were the same. Then you might conclude that you only need to count windows, and that counting blinds doesn’t tell you anything new. The same idea works with reducing data into only the components that add meaning. 

The phrase ‘neural network’ can invoke imagery of a massive computer-brain made of wires, but what does this neural network look like, exactly? The 1999 movie The Matrix borrowed its name from a mathematical object which contains columns and rows of data, much like the iconic green columns of data from the movie posters. These matrices are useful for storing and computing data sets since they can be arranged much like an excel sheet, with columns for each patient and rows for each type of recorded data. He (or the computer?) can then work with that matrix to develop this neural network graph. Then, the neural network determines which data is relevant and can also illustrate connections between the different pieces of data. Much like how you might be connected to friends, coworkers, and family on a social network, except in this case, each profile is a compound or molecule and the connections can be any kind of relationship, such as a common reaction between the pair. However, unlike a social network, no one cares how many degrees from Kevin Bacon they are. The goal here isn’t to connect one molecule to another but to instead identify unknown relationships. Perhaps that makes it more like 23 and Me than Facebook.

TLDR

Nima is using machine learning to discover previously unknown relationships between various kinds of human biological data such as genes and the gut microbiome. Now, that’s a machine you don’t need to rage against.

Excited to learn more about machine learning?
Us too. Be sure to listen live on Sunday November 13th at 7PM on 88.7FM, or download the podcast if you missed it. And if you want to stay up to date on Nima’s research, you can follow them on Twitter.

Heat, Hatchlings, and Sea Turtle Survival

Heat, Hatchlings, and Sea Turtle Survival

A team of researchers makes its way across the beach on this dark night, lighting their way only with starlight and moonlight. It’s high tide on this small island off the coast of Brazil, and the kind of night when green sea turtles love to come ashore to nest. The turtles fall into a trance-like state after wandering around for hours and finally building their nests, and this is when the team approaches. They take a skin sample, place a temperature logger to measure the nest temperature, and tag the turtle with a nail polish marking for future identification. One member of the team is Vic Quennessen (she/they), the subject of our next episode. Vic is a PhD student in the Department of Fisheries, Wildlife, and Conservation Sciences. Quennessen is a computational researcher on the project but helping out on nights like these is part of the job. Vic’s team collaborates with Projeto TAMAR, a Brazilian nonprofit organization that works to preserve and conserve these endangered animals throughout Brazil since the 1980s.

Vic Quennessen releases their first hatchling!

Sea turtles have no sex chromosomes, and their sex is instead determined by the environmental temperature during incubation. Eggs subjected to higher temperatures are more likely to produce female hatchlings. The point at which the sex ratio of eggs approaches 50/50 is around 29 degrees Celsius, but at just one degree higher, some clutches of eggs produce as high as 90% female hatchlings. As temperatures rise due to climate change, this has resulted in a worrying oversupply of female hatchlings.

Sea turtles are difficult to study due to their long and mysterious life cycles. It is believed that they reach reproductive maturity after around twenty-five years, but only females are readily observed because they return to land to build their nests and lay eggs. In contrast, the males stay out at sea for their entire lives. This complicates any effort to ascertain the true population structure. Sea turtles also live a long time, so there is a lag between changes in the hatchling population and the overall population. Finally, hatchlings lack external reproductive organs or other visible sexual characteristics, so the sex ratios must be estimated using temperature as a surrogate.

Vic has always loved the ocean, and they came to OSU looking to help conserve resources that are threatened, such as fish stocks or sea turtles. While attending UMass Dartmouth for their undergraduate degree, they double majored in computational mathematics and marine biology. Initially these felt like separate interests, until a professor suggested that she apply to a NOAA workshop on marine resources and population dynamics. Here she learned that mathematical methods could be a part of rigorous modeling efforts in population biology. After a gap year dedicated to science education, Vic made her way to Oregon State for a Masters in Fisheries Science. Her advisor, Prof. Will White, persuaded her to stay on for a PhD with an opportunity to study her beloved sea turtles.

Sea turtles visit the beaches of more than eighty countries, but Vic’s fieldwork focuses on a population that nests on a small Brazilian island.

Quennessen’s research seeks to predict how the green sea turtle population will be affected by their looming sex imbalance. Vic uses data collected from over 3000 hatchlings per season, including nest temperature readings as well as the numbers of nesting females, hatchlings, and captured males. They build a mathematical model to explore possible scenarios for the “mating function”, the unknown relationship between the sex ratio and reproductive success. On the one hand it is easy to imagine that such a mismatch could reduce the number of mating pairs and lead to a rapid population decline. On the other, it is not well understood how many breeding males are required to sustain the population, and adaptations in mating behavior could slow the decline in population long enough for the more optimistic climate mitigation scenarios to take effect. In any case, it will take a lot of international cooperation to conserve these ancient marine creatures – green sea turtles nest on the shores of over 80 countries. Vic’s hope is that a mathematical exploration of this question could help reveal the chances of survival for the green sea turtles and possibly inform these conservation efforts.

To learn more about Vic’s research and their other interests, including science education and working with CGE, the graduate student union at OSU, tune in Sunday, Nov 6th at 7pm PST on KBVR 88.7 FM or online!

Missed the show? Don’t worry, you can download this episode via your podcast player of choice here.

Spaghetti & Networks: Oodles of Nodes

Picture a bowl of spaghetti and meatballs. There are pristine noodles, drenched in rich tomato sauce, topped with savory meatballs. Now imagine you’re only allowed to eat just one noodle, and one meatball. You’re tasked with finding the very best, the most interesting bite out of this bowl of spaghetti. It might sound absurd, but replace spaghetti with ‘edges’ and meatballs with ‘nodes’ and you’ve got a network.

An image of a network from Nolan’s recent publication. The lines are ‘edges’ and the dots are ‘nodes’.

Computational biologists like our guest this week use networks to uncover meaningful relationships, or the tastiest spaghetti noodle and meatball, between biological entities.
Joining us this week is Nolan Newman, a PhD candidate in the College of Pharmacy under PI Andriy Morgun. Nolan’s research lies at the intersection of math, statistics, computer science, and biology. He’s looking at how networks, such as covariation networks, can be used to look for relationships and correlations between genes, microbes, and other factors from massive datasets which compare thousands or even of biological entities. With datasets this large and complex, it can be difficult to pare down just the important or interesting relationships – like trying to scoop a single bowl of spaghetti from a giant tray at a buffet, and then further narrowing it down to pick just one interesting noodle.

Nolan Newman, PhD candidate


Nolan is further interested in how different statistical thresholds and variables contribute to how the networks ‘look’ when they are changed. If only noodles covered in sauce are considered ‘interesting’, then all of the sauce-less noodles are out of the running. But what if noodles are only considered ‘sauce-covered’ if they are 95% or more covered? Could you be missing out on perfectly delicious, interesting noodles by applying this constraint?


If you’re left scratching your head and a little hungry, fear not. We’ll chat about all things computational biology, networks, making meaning out of chaos, and why hearing loss prompted Nolan to begin a career in science, all on this week’s episode of Inspiration Dissemination. Catch the episode live at 7 PST at 88.7 FM or https://kbvrfm.orangemedianetwork.com/, or catch the podcast after the episode on any podcast platform.