The last decade has seen a rapid proliferation of technologies that are reshaping how we observe, characterize, and manipulate microbial life, from single cells to complex ecosystems. Long-read and high-accuracy sequencing, single-cell and spatial omics, microfluidics, and high-throughput culturomics, stable-isotope and Raman approaches that link identity to activity, and AI/ML driven analysis pipelines together form an integrated toolkit that makes the “microbial dark matter” accessible. This chapter reviews those key technologies, highlights how they complement one another, and outlines realistic near-term directions and challenges for the coming decade.

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Challenges, Limitations, and Future Directions in Microbial Deciphering

  • Ranbir Chander Sobti,
  • Mohammed Azhar Khan

摘要

The last decade has seen a rapid proliferation of technologies that are reshaping how we observe, characterize, and manipulate microbial life, from single cells to complex ecosystems. Long-read and high-accuracy sequencing, single-cell and spatial omics, microfluidics, and high-throughput culturomics, stable-isotope and Raman approaches that link identity to activity, and AI/ML driven analysis pipelines together form an integrated toolkit that makes the “microbial dark matter” accessible. This chapter reviews those key technologies, highlights how they complement one another, and outlines realistic near-term directions and challenges for the coming decade.