Genome hybridization: A universal way for the origin and diversification of organelles as well as the origin and speciation of eukaryotes

Autor: Dong, Qing-lin, Xing, Xiang-ying
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: The origin of organelles (mitochondrion, chloroplast and nucleus) remains enigmatic. The endosymbiotic hypothesis that chloroplasts, mitochondria and nuclei descend from the endosymbiotic cyanobacterium, bacterium and archaebacterium respectively is dominant yet uncompelling, while our discovery of de novo organelle biogenesis in the cyanobacterium TDX16 that had acquired the genome of its green algal host Haematococcus pluvialis overturns this hypothesis. In light of organelle biogenesis in the cyanobacterium TDX16 in combination with the relevant cellular and molecular evidence, we propose genome hybridization hypothesis (GHH) that the origin of organelles and origin of eukaryotes as well as the diversification of organelles and speciation of eukaryotes are unified and achieved by genome hybridization: the endosymbiotic cyanobacteria or bacteria obtain genomes of their archaebacterial or eukaryotic hosts and hybridize with their own ones resulting in expanded genomes containing a mixture of hybrid prokaryotic genes and eukaryotic genes, and thus the cyanobacteria or bacteria have to compartmentalize to accommodate different genes for specialized function of photosynthesis (chloroplast), respiration (mitochondrion) and DNA preservation (nucleus), and consequently turn into photosynthetic or heterotrophic eukaryotes. Accordingly, eukaryotes and their organelles are of multiple origin, while the formation of cancer cells is the speciation of eukaryotes as cancer cells are new species of unicellular eukaryotes arising from bacteria. Therefore, GHH provides a theoretical framework unifying evolutionary biology, cancer biology and cell biology and directing the integrated multidisciplinary research.
Comment: 22 pages with two tables; added references for section 2; revised testable predictions for Section 5
Databáze: arXiv