Day 7 part 2 communities - MiDAS

Environmental Biotechnology

🧬 What is a Species?

Species can be defined in several ways depending on the organism:

  • Animals: easy β€” if they can mate and have fertile offspring, same species.
  • Bacteria: they don’t mate β€” they divide! So, scientists use genetic similarity.

πŸ”Ή OTUs vs ASVs

  • OTU (Operational Taxonomic Unit): groups sequences that share β‰₯97.5% similarity in a marker gene (like 16S rRNA).
  • ASV (Amplicon Sequence Variant): much higher precision β€” unique DNA variants, usually 99% similarity cutoff for species-level resolution. πŸ‘‰ ASVs are preferred today because they treat every unique sequence separately before comparing them to databases.

πŸ”Ή How Do We Confirm Species?

If full genomes are available:

  • Use ANI (Average Nucleotide Identity) β†’ Species = β‰₯95% identity across the genome β†’ Small gene differences (e.g., from horizontal gene transfer) still count as same species.

🦠 Example: E. coli β€” same species, but thousands of strains, some harmless, some pathogenic because of different genes.


🌍 How Fast Do Species Evolve?

Speciation in bacteria happens slowly but measurably:

  • Through gene transfer, mutations, and selection.
  • Some lab studies show gene transfer events within days when microbes are mixed β€” but most don’t persist.
  • Over evolutionary time, this diversification leads to new species.

Sequencing entire environmental communities (metagenomics) lets scientists reconstruct genomes to track these changes β€” though contamination between nearly identical strains can make this tricky.


πŸ’» The MiDAS Field Guide

MiDAS (Microbial Database for Activated Sludge) is a global open resource for studying wastewater microbes. It provides:

  • 🧫 33,000+ identified species
  • 🌐 Data on distribution, abundance, and function
  • πŸ” Searchable taxonomy browser for phylum β†’ species
  • πŸ“ˆ Tools to visualize abundance or traits (filamentous, hydrophobic, etc.)
  • πŸ§ͺ Protocols and definitions for cell traits, metabolism, and sequencing methods
  • 🧠 Links to antibiotic resistance genes (ARGs), genome data, and publications.

Example:

If you search Microthrix:

  • You see it’s aerobic, filamentous, hydrophobic, and known to cause foam problems in treatment plants.
  • You can view FISH probes, genome access, and its global abundance across plant types and countries.

πŸ’Š Antibiotic Resistance in Wastewater

  • Many systems are thought to be β€œhotspots” for ARG exchange β€” but Danish studies show limited evidence.
  • Some bacteria naturally carry ARGs because they evolved to defend against environmental antibiotics.
  • However, potential transfer to pathogens remains a global concern.

🧫 Global Patterns of Bacteria in Wastewater

MiDAS studies compare wastewater microbiomes worldwide:

  • Different plants share many genera, but not the same species.
  • The same treatment process (carbon removal, phosphorus removal, etc.) in two plants may have different microbial communities.
  • Reasons: local environment, temperature, industrial inputs, and immigration of bacteria from incoming wastewater.

🌱 Community Assembly Theory

Why do certain bacteria dominate in one plant and not another?

Deterministic Factors (🧩 measurable)

  • Temperature
  • Substrates (available nutrients)
  • Environmental conditions
  • Interactions (competition, cooperation)

β†’ These define selection or niche occupation.

Stochastic Factors (🎲 random)

  • Dispersal (immigration): bacteria coming in from air, soil, or wastewater inflow
  • Drift: random survival or extinction of species
  • Speciation: new variants forming by mutation/adaptation over time

Together they shape community structure β€” the microbial composition of each treatment plant.


πŸ’­ The β€œEverything Is Everywhere” Hypothesis

Engineers once believed:

β€œAll bacteria exist everywhere β€” give them the right conditions, and the right ones will grow.”

But… studies disagree.

πŸ”Ή Evidence for:

  • Bacteria spread easily through water, air, and waste.
  • With similar environments, the same functions can appear.

πŸ”Ή Evidence against:

  • Local conditions matter β€” Greenland β‰  Sahara.
  • Microbes entering plants differ regionally.
  • Some genera are universal, but specific species are not.
  • Even in Denmark, Aalborg vs. Copenhagen plants have distinct bacterial profiles.

Conclusion: Not everything is everywhere. Immigration sources strongly influence which microbes establish.


🚰 Sewer Systems as Microbial Sources

Researchers studied sewer microbiomes and discovered:

  • Sewers are major microbial incubators.
  • Many key bacteria already grow in sewer biofilms before reaching the treatment plant.
  • Incoming wastewater renews 5–10% of biomass daily, but ~70% of incoming microbes die quickly (often human-associated gut bacteria).
  • The important bacteria β€” those driving treatment processes β€” originate from the sewer biofilms, not from the raw wastewater.

➑️ So, the sewer + treatment plant act as one integrated ecosystem.


🧩 Key Takeaways

ConceptExplanation
Species definitionGenetic similarity thresholds (ASVs >99%, ANI >95%)
Horizontal gene transferCan alter function but not species identity
MiDAS databaseGlobal reference for wastewater microbes
ARGsNaturally occurring, but potential for pathogenic transfer
Community structureDriven by deterministic + stochastic forces
Everything-is-everywhere mythFalse β€” microbial composition is locally shaped
Sewer microbiomePrimary source of key bacteria in wastewater plants

🧠 Summary Mnemonic

S.P.E.C.I.E.S.

  • Sequencing defines microbes
  • Plants differ globally
  • Everything’s not everywhere
  • Conditions + chance shape communities
  • Immigration from sewers matters
  • Evolution is slow
  • Sewer systems = source ecosystems

Quiz

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