Amoebozoa include lineages of diverse ecology, behavior, and morphology. They are assumed to encompass members with the largest genome sizes of all living things, yet genomic studies in the group are limited. Trichosphaerium , a polymorphic, multinucleate, marine amoeba with a complicated life cycle, has puzzled experts for over a century. In an effort to explore the genomic diversity and investigate extraordinary behavior observed among the Amoebozoa, we used integrated omics approaches to study this enigmatic marine amoeba. Omics data, including single-cell transcriptomics and cytological data, demonstrate that Trichosphaerium sp. possesses the complete meiosis toolkit genes. These genes are expressed in life stages of the amoeba including medium and large cells. The life cycle of Trichosphaerium sp. involves asexual processes via binary fission and multiple fragmentation of giant cells, as well as sexual-like processes involving genes implicated in sexual reproduction and polyploidization. These findings are in stark contrast to a life cycle previously reported for this amoeba. Despite the extreme morphological plasticity observed in Trichosphaerium , our genomic data showed that populations maintain a species-level intragenomic variation. A draft genome of Trichosphaerium indicates elevated lateral gene transfer (LGT) from bacteria and giant viruses. Gene trafficking in Trichosphaerium is the highest within Amoebozoa and among the highest in microbial eukaryotes.
Keyphrases
- life cycle
- genome wide
- single cell
- copy number
- genome wide identification
- induced apoptosis
- rna seq
- dna methylation
- electronic health record
- genome wide analysis
- cell cycle arrest
- transcription factor
- big data
- high throughput
- endoplasmic reticulum stress
- bioinformatics analysis
- magnetic resonance
- microbial community
- mental health
- computed tomography
- oxidative stress
- cell death
- signaling pathway
- climate change
- genetic diversity
- minimally invasive
- gene expression
- ionic liquid
- data analysis
- magnetic resonance imaging
- contrast enhanced
- deep learning