Back

CRISPR-Cas9 precision editing of kinetochore protein phosphosite codons in Leishmania mexicana

McNiven, C.; Trindade, J. B. C.; Geoghegan, V.; Faria, J. R.; Mottram, J. C.

2026-01-15 microbiology
10.64898/2026.01.15.699675 bioRxiv
Show abstract

Leishmania mexicana, like other trypanosomatids, possesses a unique kinetochore--the protein complex crucial for chromosome segregation during mitosis. To investigate the functional significance of specific phosphorylation sites on essential kinetochore proteins, we adapted a selection-free precision editing strategy using CRISPR-Cas9 in Leishmania mexicana promastigotes. Our method targeted genomic DNA with 160-bp double-stranded DNA repair templates and guide RNAs to introduce targeted modifications. We focused on six phosphosites within the kinetochore proteins KKT2, KKT4, and KKT7, generating phosphodeficient, phosphomimetic, and synonymous mutants for each site. Across 18 independent transfections, we achieved a successful editing rate of 27.5% as determined by PCR screening, with 30.4% of clones confirmed as edited by Sanger sequencing. A significant portion of these edited clones (22.1%) were homozygous. Despite these precise genomic modifications, none of the phosphosite mutant clones exhibited any apparent growth defects or cell cycle dysregulation, suggesting these phosphorylation sites individually may not be critical for these processes under standard culture conditions. To facilitate higher-throughput precision editing, we developed a Python script that automates the design of the 160-bp repair templates. This script uses a FASTA file, a codon usage table, and a simple configuration file to design templates with a single nonsynonymous mutation and additional synonymous mutations for screening purposes. It also generates a corresponding synonymous-only repair template and primers for both screening and repair template generation, offering a "ready-to-go" approach. While designed for Leishmania, this powerful tool is adaptable for use with other kinetoplastids.

Published in Frontiers in Cellular and Infection Microbiology (predicted rank #6) · training set

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
International Journal for Parasitology: Drugs and Drug Resistance
10 papers in training set
Top 0.1%
11.1%
2
eLife
5828 papers in training set
Top 11%
8.9%
3
Molecular Microbiology
77 papers in training set
Top 0.1%
7.9%
4
PLOS Pathogens
820 papers in training set
Top 2%
7.9%
5
Nucleic Acids Research
1281 papers in training set
Top 2%
7.9%
Frontiers in Cellular and Infection Microbiology · published here
109 papers in training set
Top 0.2%
5.5%
7
mSphere
302 papers in training set
Top 1.0%
5.5%
50% of probability mass above
8
mBio
833 papers in training set
Top 6%
2.4%
9
Open Biology
106 papers in training set
Top 0.3%
2.4%
10
Scientific Reports
3612 papers in training set
Top 56%
1.7%
11
The CRISPR Journal
39 papers in training set
Top 0.3%
1.7%
12
Molecular Biology of the Cell
311 papers in training set
Top 2%
1.3%
13
Parasitology
10 papers in training set
Top 0.2%
1.3%
14
PLOS ONE
5266 papers in training set
Top 55%
1.1%
15
ACS Synthetic Biology
287 papers in training set
Top 2%
1.1%
16
PLOS Genetics
862 papers in training set
Top 9%
1.1%
17
GENETICS
483 papers in training set
Top 3%
1.1%
18
Nature Communications
5641 papers in training set
Top 53%
1.1%
19
Microbiology Spectrum
469 papers in training set
Top 9%
1.1%
20
Life Science Alliance
285 papers in training set
Top 6%
1.0%
21
Applied and Environmental Microbiology
339 papers in training set
Top 4%
1.0%
22
RNA
189 papers in training set
Top 1%
1.0%
23
PLOS Biology
486 papers in training set
Top 11%
0.8%
24
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 41%
0.8%
25
iScience
1154 papers in training set
Top 34%
0.8%
26
Frontiers in Bioengineering and Biotechnology
98 papers in training set
Top 2%
0.8%
27
PeerJ
308 papers in training set
Top 11%
0.8%
28
BMC Biotechnology
14 papers in training set
Top 0.2%
0.8%
29
Frontiers in Microbiology
427 papers in training set
Top 8%
0.8%
30
PLOS Neglected Tropical Diseases
466 papers in training set
Top 6%
0.8%