Author

K. Giannakis

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 3 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:chromatin & epigenetic regulation· 2 Assay:DNA methylation· 2 Organism:multiple species· 2 Assay:whole-genome sequencing· 2 Organism:Arabidopsis· 1 Approach:Bayesian inference· 1 Approach:benchmark study· 1

Frequent Co-Authors

I. Johnston· 3 shared L. Richards· 3 shared J. M. Chustecki· 2 shared E. C. Royrvik· 1 shared I. G. Johnston· 1 shared K. Dauda· 1 shared S. Gasparini· 1 shared S. J. Arrowsmith· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 19 mutual co-author links

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3 shared papersEvolutionary Biology

I. Johnston

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Author profile →

4 papers

Recent·Most cited

Connecting species-specific extents of genome reduction in mitochondria and plastids

K. Giannakis, L. Richards, K. Dauda, I. Johnston

The paper examines the relationship between mitochondrial and plastid genome reduction across eukaryotic species, finding a generally positive correlation in gene retention but limited evidence for coevolution of specific gene pairs.

bioRxiv · Dec 14, 2023Evolutionary Biology

Ecological predictors of organelle genome evolution: Phylogenetic correlations with taxonomically broad, sparse, unsystematized data

K. Giannakis, L. Richards, I. Johnston

The paper investigates ecological predictors of organelle genome evolution by analyzing phylogenetic correlations across sparse, unsystematized data from eukaryotes.

bioRxiv · Aug 11, 2023Evolutionary Biology

Universal features shaping organelle gene retention

K. Giannakis, S. J. Arrowsmith, L. Richards, S. Gasparini, J. M. Chustecki, E. C. Royrvik, I. G. Johnston

The paper identifies universal features shaping organelle gene retention using over 15k oDNA sequences and whole genome data, revealing hydrophobicity and energetic centrality as key predictors.

bioRxiv · Oct 27, 2021 · PreprintEvolutionary Biology

Encounter networks from collective mitochondrial dynamics support the emergence of effective mtDNA genomes in plant cells

K. Giannakis, J. M. Chustecki, I. Johnston

The paper shows that mitochondrial encounter networks in plant cells enable the accumulation of full mtDNA genomes through exchange, outperforming other network types.

bioRxiv · Oct 1, 2021 · PreprintPlant Biology