Sci Simple

New Science Research Articles Everyday

# Biology # Microbiology

Understanding the Threat of APEC in Poultry

APEC bacteria pose serious risks to bird health and poultry farming.

Huijun Long, Jai W. Mehat, HuiHai Wu, Arnoud H. M. van Vliet, Roberto M. La Ragione

― 6 min read


Decoding APEC in Birds Decoding APEC in Birds infections harming poultry. Research reveals insights into APEC
Table of Contents

Avian pathogenic Escherichia coli, or APEC, is a type of bacteria that mainly affects birds, especially poultry. These bacteria can cause various illnesses, collectively known as colibacillosis, which can lead to significant suffering for the birds and substantial financial losses for poultry farmers. The infections can take several forms, including pericarditis (inflammation around the heart), perihepatitis (inflammation around the liver), peritonitis (inflammation in the abdominal cavity), and airsacculitis (inflammation of the air sacs).

In summary, APEC is a troublemaker in the bird world and a real headache for those in the poultry industry. So, what's the deal with these bacteria?

The Mystery of APEC

APEC bacteria belong to a larger group of E. coli known as extra-intestinal pathogenic E. coli, or ExPEC. These bacteria are not the kind you find in your average birdbath; they're special. They can cause serious health issues in birds and sometimes hang around in places where they shouldn't be.

Scientists are trying to figure out just what makes APEC tick. One challenge is that there is a lot of genetic variation among different strains of APEC. This variation makes it tough to come up with effective control methods, like vaccines or medications.

The Need for Research

The poultry industry is a big deal, and keeping birds healthy is essential for everyone's well-being. So, researchers want to dig deeper into the biology of APEC to help find better ways to combat these pesky bacteria.

This is where things get interesting. Some scientists think that APEC strains, along with harmless E. coli strains found in birds, have different ways of breaking down food (Metabolic profiles). However, there's still a lot we don't know about how APEC isolates differ in their metabolic traits.

Genome-Scale Metabolic Models: A New Tool

To get to the bottom of the APEC mystery, researchers are using genome-scale metabolic models (GEMs). These models are like a blueprint that helps scientists understand how bacteria break down food and respond to different environments.

Most existing models have been based on just a single type of E. coli. This is not ideal because APEC is a diverse group with many different strains. So, what researchers decided to do was build a comprehensive model based on a panel of 114 APEC isolates. They hoped this would give them a broader view of APEC's metabolism.

The Study Details

In this research, scientists first collected APEC isolates from healthy and sick birds. They stored the bacteria carefully and then grew them in controlled lab conditions to study their characteristics.

To analyze how these bacteria metabolize various nutrients, they used a variety of testing methods. One such method included the Biolog Phenotypic Microarray, which allowed them to assess how well different strains could utilize various carbon sources. They tested many different nutrients to understand the metabolic capabilities of APEC.

Building the APEC GEM

The researchers extracted DNA from the APEC samples and sequenced it, creating a comprehensive genetic map. They then used software tools to build metabolic models based on this genetic information.

In total, they identified nearly 2,000 different metabolic reactions within the APEC isolates, which were classified into core reactions shared by all isolates and accessory reactions unique to specific strains.

The researchers made adjustments to this model by filling in any gaps they found and removing unnecessary reactions. In the end, they created a robust APEC GEM that included a wide range of reactions relevant to APEC's metabolism.

Performance of the Model

With their APEC GEM in hand, scientists could now perform growth predictions. They tested how well APEC strains would grow in different nutrient conditions, such as glucose and glycerol as carbon sources.

The researchers conducted knockout experiments, where they disabled specific genes in the bacteria to see how it affected growth. They found that certain genes were essential for growth, while others were not. For example, a gene called lysA was crucial for producing lysine, an important amino acid.

Comparing APEC with Other E. coli

To verify their model, the scientists compared their APEC GEM with an existing model based on a laboratory strain of E. coli known as K-12. They found that while the APEC model had some similarities, it also displayed unique metabolic characteristics that reflected the diversity of APEC strains.

Phylogroups and Their Differences

The researchers categorized APEC isolates into different phylogroups based on their genetic makeup. They discovered that some groups had specific metabolic traits that set them apart from others. For instance, the B2 group had distinct metabolic capabilities absent in other groups.

It turns out that these differences in metabolism could give certain APEC strains a competitive advantage in using available nutrients in their environments.

The Special Case of 3-Hydroxyphenylacetate

One interesting finding from the study was the ability of specific APEC strains to utilize a compound called 3-hydroxyphenylacetate (3-HPAA) as a food source. This compound is derived from quercetin, a flavonoid commonly found in poultry feed.

The researchers found that APEC strains from phylogroup C could thrive on 3-HPAA, while strains from other groups struggled with it. This indicates that some APEC strains might have adapted to use certain nutrients more effectively than others, giving them an edge in specific environments.

The Bigger Picture: Implications for Poultry Health

The insights gained from this research can help poultry farmers and veterinarians develop more effective strategies to control APEC infections. By identifying specific metabolic pathways and potential weaknesses in APEC strains, they can create targeted prevention measures, which can improve the overall health and welfare of poultry.

Plus, this study provides a model that can be used for other bacteria that might pose a threat to animal health.

Conclusion

In the end, the mystery of APEC is a complex one. But with tools like genome-scale metabolic models, scientists are getting closer to figuring out how these bacteria operate. By gathering data and analyzing it, they can shine a light on the hidden world of APEC and help keep our feathered friends healthy and happy.

So, next time you see a chicken, remember there's a whole lot of science going on behind the scenes to ensure their well-being. And who knew bacteria could be so interesting?

Original Source

Title: Use of Genome Scale Metabolic Reconstructions of Avian Pathogenic Escherichia coli (APEC) phylogroups for the identification of lineage-specific metabolic pathways

Abstract: Avian Pathogenic Escherichia coli (APEC) are a genetically diverse pathotype primarily associated with extra-intestinal infections in birds. APEC lineages are predicted to have unique metabolic capabilities contributing to virulence and survival in the host environment. Here we present a genome-scale metabolic model for the APEC pathotype based on 114 APEC genome sequences, and lineage-specific models for the phylogroups B2, C and G based on a representative isolate for each phylogroup. A total of 1,848 metabolic reactions were predicted in the 114 APEC isolates before gap filling and manual correction. Of these, 89% represented core reactions, whilst the 11% accessory reactions were mostly associated with carbon and nitrogen metabolism. Predictions of auxotrophy were confirmed by inactivation of the conditionally essential lysA and the non-essential potE genes. The APEC metabolic model outperformed the E. coli K-12 iJO1366 model in the Biolog Phenotypic Array platform. Sub-models specific for phylogroups B2, C and G predicted differences in the metabolism of 3-hydroxyphenylacetate (3-HPAA), a phenolic acid derived from the flavonoid quercetin, which is commonly added to poultry feed. Two 3-HPAA associated reactions/genes distinguished APEC phylogroup C from APEC phylogroups B2 and G, and 3-HPAA supported the growth of APEC phylogroup C in minimal media, but not phylogroups B2 and G. In conclusion, we have constructed genome-scale metabolic models for the three major APEC phylogroups B2, C and G, and have identified a metabolic pathway distinguishing phylogroup C APEC. This demonstrates the importance of lineage- and pathotype-specific metabolic models when investigating genetically diverse microbial pathogens. IMPACT STATEMENTAvian Pathogenic Escherichia coli (APEC) are the cause of colibacillosis in poultry, which results in a significant economic burden to the poultry industry, and strongly affects the health and welfare of flocks. APEC isolates show a high level of genetic diversity, which complicates diagnostics, epidemiology and the design of prevention and treatment strategies. In this study we have used genome sequences derived from 114 APEC isolates to investigate their metabolic capabilities, and define the metabolic diversity of APEC within a generalised APEC metabolic model, and lineage-specific metabolic models. These models have been interrogated to find unique pathways that can be targeted for the development of anti-APEC treatments, and one such metabolic pathway was identified as a proof of principle. This approach shows great promise for the design of future strategies to prevent and deal with APEC infections, and can be adapted to other genetically diverse microbial pathogens.

Authors: Huijun Long, Jai W. Mehat, HuiHai Wu, Arnoud H. M. van Vliet, Roberto M. La Ragione

Last Update: 2024-12-21 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.12.20.629819

Source PDF: https://www.biorxiv.org/content/10.1101/2024.12.20.629819.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