Sci Simple

New Science Research Articles Everyday

# Biology # Microbiology

Tiny Creatures, Big Impact: The Role of Microbiomes

Microbiomes in our guts are essential for health and conservation.

Mitra Ghotbi, Jason E. Stajich, Jason Dallas, Alexander Rurik, Chloe Cummins, Lluvia Vargas-Gastélum, Marjan Ghotbi, Joseph W. Spatafora, Kian Kelly, N. Reed Alexander, Kylie C. Moe, Kimberly C. Syring, Leila Shadmani, Julissa Perez-Marron, Donald M. Walker

― 8 min read


Microbiomes Matter: Microbiomes Matter: Health and Conservation and conserving ecosystems. Microbiomes play key roles in health
Table of Contents

The tiny creatures living in our guts, known as microbiomes, are becoming a big deal in science. They're not just squatters; they play critical roles in how our bodies work. They help with metabolism, support our immune systems, and even help us bounce back when things go sideways.

At the heart of these studies is something called the Core Microbiome. Imagine it as a supportive group of friends that are always there for you. These are specific types of microbes that tend to show up consistently in similar environments or species. Scientists look at these core communities to figure out what a "healthy" microbiome looks like.

A twist in this story comes from the idea of keystone taxa. Think of these as the celebrities of the microbial world. Even if there aren't many of them, they have a huge impact on the environment around them. If we lose a keystone species, it can cause a chain reaction of changes, which might upset the balance of the entire ecosystem.

One of these notable microbes is Basidiobolus, a type of fungus. You can find it hanging out in the guts of reptiles and amphibians, which we scientists like to call herpetofauna. Basidiobolus has a unique talent for stealing genes from nearby bacteria, allowing it to adapt and thrive in its surroundings. This makes it a prime candidate for studying the relationships between bacteria and fungi in the guts of these animals.

How We Study Microbiomes

To investigate these microbiomes, researchers often use advanced techniques. They might employ high-throughput sequencing and multi-omics approaches, which sound complicated but are essentially ways to analyze all the tiny microbes and their interactions with their host. This helps scientists understand how changes in the microbiome can influence the health of the host.

However, there is a catch. The data we collect can be tricky to interpret because it usually shows relative abundance (RA), meaning we're just looking at how much of each type of microbe is present compared to the total. The problem is, as one type of microbe increases, the others seem to shrink in importance, leading to some misleading conclusions.

To combat this, scientists have created various analytical tools to help make sense of all the data better. These tools can adjust for biases that occur when only looking at relative abundance. The goal is to get a clearer picture of the microbial community and how it interacts with its host.

In the lab, researchers also use techniques like flow cytometry and digital droplet PCR to count the actual amounts of microbes present, which helps them get a better understanding of what's going on in the microbiome. However, these methods can be labor-intensive and not that practical for large-scale studies.

A notable nice trick is using "spike-ins". These are external, known quantities of microbes added to the samples, which help researchers get a better grasp on the absolute abundance (AA) of microbes. By measuring the spike-ins against the total microbial community, scientists can translate relative numbers into absolute ones, leading to more reliable results.

Why It Matters for Conservation

Unfortunately, many species of amphibians and reptiles are facing extinction. Alarmingly, about 40.7% of amphibians and 21.1% of reptiles are currently under threat. This is where microbiome studies can step in and make a difference. Studying the gut microbiomes of these animals can help us understand their health and resilience, which is crucial in conservation efforts.

By uncovering patterns in these microbiomes, scientists can reveal what goes wrong when creatures experience dysbiosis—a fancy way of saying their microbial communities are out of balance. This knowledge can help us develop targeted strategies to help preserve our planet's biodiversity.

New Tools for Better Data

While absolute abundance measurements are essential, researchers have often struggled to convert relative abundance data into meaningful insights. To tackle this issue, a new tool named DspikeIn was developed. This tool comes with a wet-lab protocol and a companion R package to provide a straightforward way to quantify absolute abundance from microbial samples.

With DspikeIn, scientists can identify core and keystone taxa in microbiomes, enhancing the accuracy of interpretations about these microbial communities. The tool also explores how Basidiobolus acts as a core member in the gut microbiomes of reptiles and amphibians.

To ensure that the DspikeIn approach worked effectively, researchers set out to test three main ideas:

  1. The success rate of retrieving spiked species should vary depending on the specific system being studied.
  2. Biological interpretations derived from relative abundance data might be misleading due to the constraints of the data itself.
  3. Basidiobolus, as a core gut microbiome member, plays a significant role in maintaining the stability of the microbiome through its interactions with other microbes.

The Nitty-Gritty of Lab Techniques

To validate their approach, the researchers spent time developing a spike-in protocol using two specific microbes: Tetragenococcus halophilus (a bacteria) and Dekkera bruxellensis (a fungus). First, they grew these microbes in the lab to create stock cultures. They then diluted these cultures to different concentrations and extracted DNA for testing.

The goal was to find the appropriate amounts to add to the gut microbiome samples. Samples from wood frogs were processed with and without the spike-in microbes, allowing scientists to quantify the increase in specific microbes based on the amount added.

After sequencing the samples, the team utilized bioinformatics tools to analyze the data and validate their spike-in method. The core idea was to ensure that they could accurately identify and quantify the microbes present, ultimately improving the accuracy of their findings.

Comparing Relative and Absolute Abundance

One major effort was to compare relative abundance to absolute abundance. The researchers gathered microbial samples from different species of salamanders, frogs, and lizards to generate a robust dataset. They wanted to see how the core microbiome—the essential parts of the microbial community—looked when assessed using both relative and absolute methods.

Using DspikeIn, the researchers effectively captured variations in microbial composition across different species and environments. They found that measuring absolute abundance provided clearer insights into the microbial communities involved and their relationships with the host's natural history.

For example, the analysis showed that Lactococcus and Cetobacterium were consistently prevalent across various herpetofauna. However, when looked at through the lens of relative abundance alone, these important taxa may have been overshadowed or misrepresented.

The researchers also employed statistical models to dig deeper into differential abundance, which helped them identify significant differences in microbial communities between species. The findings indicated that absolute abundance measurements are a more effective way to capture the complexity and dynamics of these ecosystems.

The Role of Basidiobolus in Microbial Networks

Basidiobolus is no ordinary fungus—it’s a significant player in the gut microbiome of herpetofauna. Its ability to connect and interact with other microbes enhances the stability and functionality of the entire microbial community.

As the researchers delved into the network of microbial connections, they found that Basidiobolus had strong ties with various bacteria, hinting at potential mutualistic relationships. These interactions are likely essential for gut health, contributing to digestion and maintaining a balanced microbial community.

Interestingly, the stability of the microbial network seemed to hinge on the presence of Basidiobolus. When researchers excluded it from the network, they noticed an increase in negative interactions between microbes, highlighting its role as a connector between species.

Building a Stronger Understanding of Microbial Interactions

The work with DspikeIn and the insights gained about the core microbiome and keystone taxa are paving the way for a better understanding of how these tiny creatures support their larger hosts. It's not just about counting the number of microbes but understanding their roles, relationships, and contributions to the overall health of their environment.

By accurately measuring absolute abundance and the interactions among different microbes, scientists can paint a clearer picture of the ecological roles that these communities play. This knowledge is essential not only for conservation efforts but also for comprehending how gut microbiomes contribute to animal health and resilience.

Ultimately, the approach demonstrates how vital microbial communities are for both their hosts and the ecosystems they inhabit. With tools like DspikeIn, scientists can unravel the mystery of these tiny inhabitants, leading to discoveries that could impact biodiversity and conservation strategies for years to come.

In conclusion, it’s clear that our gut is more than just a food processor; it’s a bustling ecosystem all on its own. Understanding these small players could lead us to big answers for both health and conservation. So the next time you think about what’s going on in your stomach, remember, it’s a whole lot more complicated than just breakfast!

Original Source

Title: Absolute abundance unveils Basidiobolus as a cross-domain bridge indirectly bolstering gut microbiome homeostasis

Abstract: The host microbiome is integral to metabolism, immune function, and resilience against pathogens. However, reliance on relative abundance (RA) to estimate host-associated microbiomes introduces compositional biases, while limited tools for absolute abundance (AA) quantification hinder broader applications. To address these challenges, we developed DspikeIn (https://github.com/mghotbi/DspikeIn), an R package paired with a versatile wet-lab methodology for AA quantification. Using RA and AA to compare core microbiome distributions across herpetofauna orders and their natural histories revealed starkly distinct results, driven by aggregate effects, including inherited compositional biases in RA and additional multifactorial influences. Focusing on two closely related Desmognathus species demonstrated that AA quantification enhanced resolution in differential abundance analyses and minimized false discovery rates (FDR) when identifying enriched taxa in their gut microbiomes. Keystone taxa identified through network associations also differed between RA and AA data. For example, Lactococcus and Cetobacterium were core members in Anura and Caudata, while Basidiobolus and Mortierella were core to Chelonia and Squamata, facilitating host adaptation to diverse environments, insights undetectable with RA data. AA-based network analysis further revealed that removing the Basidiobolus subnetwork increased negative interactions, highlighting its role in promoting gut homeostasis through cross-domain connectivity. Despite low redundancy, the Basidiobolus node exhibited high betweenness, efficiency, and degree, serving as a critical bridge linking disconnected nodes or modules and indirectly supporting microbiome stability, consistent with Burts structural hole theory. DspikeIn represents a transformative tool for microbiome research, enabling the transition from RA to AA quantification and delivering more accurate, consistent, and comparable results across studies. Graphical abstract DspikeIn cheatsheet O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=156 SRC="FIGDIR/small/630554v1_ufig1.gif" ALT="Figure 1"> View larger version (65K): [email protected]@21cd90org.highwire.dtl.DTLVardef@13ead1borg.highwire.dtl.DTLVardef@1d6fa84_HPS_FORMAT_FIGEXP M_FIG C_FIG

Authors: Mitra Ghotbi, Jason E. Stajich, Jason Dallas, Alexander Rurik, Chloe Cummins, Lluvia Vargas-Gastélum, Marjan Ghotbi, Joseph W. Spatafora, Kian Kelly, N. Reed Alexander, Kylie C. Moe, Kimberly C. Syring, Leila Shadmani, Julissa Perez-Marron, Donald M. Walker

Last Update: 2024-12-28 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.12.27.630554

Source PDF: https://www.biorxiv.org/content/10.1101/2024.12.27.630554.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to biorxiv for use of its open access interoperability.

Similar Articles