Seeds of native alpine plants host unique microbial communities embedded in cross-kingdom networks

Microbiome. 2019 Jul 24;7(1):108. doi: 10.1186/s40168-019-0723-5.

Abstract

Background: The plant microbiota is crucial for plant health and growth. Recently, vertical transmission of a beneficial core microbiota was identified for crop seeds, but for native plants, complementary mechanisms are almost completely unknown.

Methods: We studied the seeds of eight native plant species growing together for centuries under the same environmental conditions in Alpine meadows (Austria) by qPCR, FISH-CLSM, and amplicon sequencing targeting bacteria, archaea, and fungi.

Results: Bacteria and fungi were determined with approx. 1010 gene copy numbers g-1 seed as abundant inhabitants. Archaea, which were newly discovered as seed endophytes, are less and represent only 1.1% of the signatures. The seed microbiome was highly diversified, and all seeds showed a species-specific, highly unique microbial signature, sharing an exceptionally small core microbiome. The plant genotype (species) was clearly identified as the main driver, while different life cycles (annual/perennial) had less impact on the microbiota composition, and fruit morphology (capsule/achene) had no significant impact. A network analysis revealed significant co-occurrence patterns for bacteria and archaea, contrasting with an independent fungal network that was dominated by mutual exclusions.

Conclusions: These novel insights into the native seed microbiome contribute to a deeper understanding of seed microbial diversity and phytopathological processes for plant health, and beyond that for ecosystem plasticity and diversification within plant-specific microbiota.

Keywords: Seed microbiota; cross-kingdom networks; endophytes; native plants; plant resilience.

MeSH terms

  • Archaea / classification
  • Austria
  • Bacteria / classification
  • Fungi / classification
  • Genotype
  • Grassland
  • Microbiota*
  • Plants / classification
  • Plants / microbiology*
  • RNA, Ribosomal, 16S / genetics
  • Seeds / microbiology*
  • Sequence Analysis, DNA

Substances

  • RNA, Ribosomal, 16S