Genetic Diversity and its Impact on Post Translational Modifications of PKC and bml-Beta Tubulin Homolog Proteins in Different Species and Strains of Sordaria
Genetic Diversity and its Impact on Post Translational Modifications of PKC and bml-Beta Tubulin Homolog Proteins in Different Species and Strains of Sordaria
Ayesha Ahsan1, Rabia Arif2*, Samina Nazir1, Muhammad Saleem2 and
Memunna G. Shahid1
1Department of Botany, Government College University, Lahore 54000
2Molecular Genetics Research Laboratory, Department of Botany, University of the Punjab, Lahore 54590
ABSTRACT
Protein Kinase C (PKC) and tubulin homologs are present in all eukaryotes and play significant role in growth, development and cell differentiation through phosphorylation and de-phosphorylation of other proteins. In this study, we have amplified PKC and beta tubulin homolog bml gene from six strains and F3 and F4 generations of Sordaria fimicola collected from the Evolution Canyon-1. Sequenced products of 464 bp of tubulin gene and 548 bp for PKC gene were aligned to observe the genetic variations between the eight parental strains of S. fimicola and reference sequence of S. fimicola. Total six polymorphic sites were observed in case of tubulin gene out of which 5 sites were common among strains isolated from the s-slope of Evolution Canyon (EC). Genetic variations in four nucleotides were observed for PKC gene i.e. C (150) T; C (186) A; C (429) G and T (521) A which were common for S1, S2 and S3 strains, while point mutation C (497) G was detected only in S2 and S3 strains. Post translational modifications (PTMs) of both proteins were predicted and compared with the reference sequences of Neurospora crassa and Sordaria macrospora by using different PTMs predictor servers. Phosphorylation and glycosylation in different species of Sordaria as well as N. crassa was calculated on Serine (S), Tyrosine (Y) and Threonine (T) residues by NetPhos and YinOYang.
Article Information
Received 24 August 2018
Revised 13 March 2020
Accepted 05 May 2020
Available online 15 November 2022
(early access)
Published 16 March 2023
Authors’ Contribution
AA and RA equally contributed to perform the experimental work. MS designed the research work. SN and MGS helped in manuscript write up.
Key words
Phosphorylation, Glycosylation, Modifications, Protein, Nucleotide, Diversity, Strains
DOI: https://dx.doi.org/10.17582/journal.pjz/20180824120824
* Corresponding author: [email protected]; [email protected]
0030-9923/2023/0003-1207 $ 9.00/0
Copyright 2023 by the authors. Licensee Zoological Society of Pakistan.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
INTRODUCTION
The complexity of eukaryotic cell cannot be explained only by the number of genes and proteins but by their complex degree of regulation which includes several levels and mechanisms. Thus, one of the major challenges is to understand these systems universally in order to extract the active part of the regulatory landscape from one or correlated snapshots of a cell state. One important step of this regulation is performed after translation, where protein function is defined by the interplay between protein–protein interactions (PPIs) and post-translational modifications (PTMs). These two mechanisms are interdependent since PPIs are described to be regulated by PTMs and intermediate enzymes are also subject of modification (Minguez et al., 2015; Beltrao et al., 2012; Li et al., 2013). PTMs are indeed an abundant and widely spread source of protein regulations (Beltrao et al., 2013). They are involved in a vast number of functions, from protein stabilizing factors to regulation of molecular switches (Van Roey et al., 2013).
Protein kinase C (PKC) is comprised of different groups of kinases that are involved in the phosphorylation of hydroxyl groups of serine and threonine. These kinases are activated with the help of Ca2+ and di-acyl-glycerol. PKC enzymes have critical role in cell signal transduction cascades. The regulatory and catalytic domains are the two structural domains of these kinases. PKCs are present in all eukaryotes and play significant roles in growth, development and cell differentiation through phosphorylation and de-phosphorylation of other proteins (Penn et al., 2015).
For many years, PKCα was considered as an important upstream component of signalling pathways leading to cell union and relocation of cancer cells (Rabinovitz et al., 2004). Most of the substrates of PKC go through phosphorylation in vitro. These substrates initiate the association with the actin cytoskeleton and cell to cell connections (Jaken and Parker, 2000). Once the PKCα start phosphorylation, these substrates impact cytoskeletal dynamics that prop up adhesion and association with other proteins (Larsson, 2006).
Tubulin are phosphorylated at particular serine residues to make tubulin polymer and heterodimers (Abeyweera et al., 2009; Farhadi et al., 2006).
Oakley (2004) first time reported α, β and γ tubulin encoding genes in the Aspergillus. Each α and β tubulin are encoded by two genes tubA, tubB and benA, tubC respectively, while γ tubulin is encoded only by one gene i.e. mipA. All these genes perform specific functions such as, tubA and benA are involved in the formation of fungal hyphae, tubB is essential for completing sexual cycle while β tubulin gene is involved in the spindle formation during mitosis. β -tubulin protein is encoded by several genes in various organisms. Fungal β-tubulin is encoded by 1 or 2 genes, tubb1 and tubb2 genes which are involved in β -tubulin translocation. Presence of more than 1 genes of β tubulin in individuals indicates the complexity of gene expression to perform different functions during the life of cell. The participation of microtubules in multi processes indicates the stability of tubulin gene expressions. All these functions are controlled by post translational modifications (PTMs) on various amino acids like Threonine, Serine and Tyrosine residues of tubulin protein for the regulation of cellular activities (Jarmo et al., 2005). The aim behind this study was to explore the genetic diversity in bml beta tubulin and PKC proteins in Sordaria fimicola and different strains of this fungus collected from Evolution Canyon, Israel, which is important key station to study the genetic diversity among same species due to existence of harsh and mild environmental conditions on two opposite slopes of this Canyon. So far no PTMs have been calculated or predicted for these two proteins in this coprophilous fungus.
MATERIALS AND METHODS
Specimens
Different strains of Sordaria fimicola were used throughout this study. These strains were isolated from the soil and dung samples collected from the north and the south facing slopes (SFS and NFS) of the Evolution Canyon, Israel. All strains were sub-cultured under aseptic conditions at 18 oC on Potato Dextrose Agar (PDA) media. For more details about strains please see Arif et al., 2017.
Extraction of genomic DNA
Genomic DNA of 50 fungal isolates were extracted by the modified protocol of Pietro et al. (1995) and quantified by 1% agarose gel electrophoresis stained with ethidium bromide using 1Kb ladder DNA (Norgen) and image was captured under gel documentation system (Ugenius3-SynGene).
Real time PCR
PCR amplifications were performed for the amplifications of beta-tubulin bml and PKC genes using the Roche LightCycler®480 systems with similar PCR mixture composition and reaction conditions as described by Arif et al. (2017). The 384-well plate was used for the PCR analyses. 10µl PCR mix comprised of 2µl of genomic DNA (1 in 10 dilution of the g-DNA stock), 1µl of 10X PCR buffer (Bioline), 0.4µl of 50mM MgCl2, 0.064µl of dNTPs, 0.25µl of the Light Cycler® 480 High Resolution Melting Master solution (Roche), 0.01µl of the IMMOLASE TM DNA polymerase (Bioline), 0.04µl of the forward and reverse primers each at 100µM, and 6.26µl of water.
The amplification was programmed as follows: initial DNA denaturation at 95 oC for 10 min, followed by 50 cycles each of 95 oC for 5 sec, 65 oC for 15 sec and 72 oC for 1 min ending with a final elongation step at 72 oC for 5 min. Fluorescence acquisition was obtained after each 72oC step. Products were heated to 95oC for 1 min, cooled to 40oC for one min and raised to 78oC for one second. As temperature increased gradually from 78oC to 95oC, fluorescence data were acquired continuously.
Bioinformatics tools for prediction of post-translational modifications
To calculate the YinOYang and glycosylation for bml beta tubulin and PKC proteins; YinOYang 1.2 server (accessible at: http://www.cbs.dtu.dk/services/YinOYang/) and NetPhos 2.0 server (accessible at http://www.cbs.dtu.dk/services/NetPhos/) was applied for the prediction of phosphorylation sites for these two proteins in S. fimicola and reference organisms.
RESULTS
The g-DNA of the six parental strains of S. fimicola and their subsequent F3 and F4 generations was subjected to the amplification of bml and PKC genes and was analysed using high resolution melt analysis for amplification by melting peaks and normalized melt curves. Sequenced products of 464 bp of tubulin gene and 548 bp for PKC gene were aligned to observe the genetic variations between the eight parental strains of S. fimicola and reference sequence of S. fimicola. Total six polymorphic sites were observed in case of tubulin gene out of which 5 sites were common among strains isolated from the s-slope of Evolution Canyon (EC) while polymorphism on 448 nucleotide position A (T) was present only in strains isolated from the n-slope of EC (Fig. 1).Genetic variations on four nucleotides were observed for PKC gene i.e. C (150) T; C (186) A; C (429) G and T (521) A which were common for S1, S2 and S3 strains while point mutation on C (497) G were detected only in S2 and S3 strains (Fig. 2). Changes on similar nucleotides for both genes were also found in F3 and F4 generations of all the strains isolated from the s-slope of EC. Protein sequences of these two proteins were aligned with four species of Sordaria i.e. S. fimicola, S. macrospora, S. tomanto-alba, S. brevicollis and Neurospora crassa (Figs. 3 and 4). All the protein sequences were drawn from NCBI data base under the following accession numbers (FR774322; FR774490; FR774339; FR774529; FR774338; FR774528; FR774329; FR774532; FR774340 and FR774530). It is evident from Figure 3 that bml protein is highly conserved in all the species of Sordaria and N. crassa, while few varied regions are found among all the studied species in case of PKC protein (Fig. 4).
DISCUSSION
The current study is focused on calculating genetic variations for bml and PKC genes in six strains of S. fimicola and F3 and F4 generations of each strains raised by single spore isolation method, and to check the hypothesis that more variations are expected to occur in the environment that is harsh and stressed as compared to the natural environment (Saleem et al., 2001; Mobeen et al., 2022). These strains were collected from two contrasting environments and slopes (the s-slope and the n-slope) of Evolution Canyon (EC) of Israel. Sequence analyses of these two genes revealed the presence of polymorphism on various positions i.e. five polymorphic regions were observed in S1, S2 and S3 strains of S. fimicola when compared with the reference sequence of bml gene. These mutated sites were not found in the strains that were taken from the n-slope and natural or benign environment of EC. The parental strains of the n-slope show variations at one site that was not present in the strains of the s-slope (Fig. 1). In these strains A (T) polymorphism was found on 448 position of nucleotide. Nucleotide variations on five different positions were also observed in the S1, S2 and S3 strains that were absent in N5, N6 and N7 strains for PKC genes (Fig. 2). These findings are in accordance with the hypothesis that more variations are present in the strains that were isolated from the south slope of EC.
Many workers worked on the strains that were used in this study and their results sustain the current findings. Saleem et al. (2001) worked on wild strains of S. fimicola to determine the variations in crossing over and frequency of occurrence of gene conversion in these strains from EC and observed constant differences in crossing over and gene conversion between parental strains of the south facing slope of EC. They rose the F1 and F2 generations of these strains by self-cross of each strain while we raised the F3 and F4 generations by single spore isolation techniques. Our findings are supported by their work that considerable variations are found in the strains of the s-slope and their succeeding generations as well. These natural variations that passed from generation to generation could offer a source of recombination and genetic diversity by natural selection in each atmosphere.
According to Lamb et al. (1998) strains that belonged to the south slope of EC had high rate of natural mutations and induced mutations compared with strains from the fresh and mild, North Slope of EC. Communal total transformation frequencies for many loci such as ascosporic pigmentation were more for three strains (S1, S2 and S3) from the s-slope, and low for three strains (N5, N6, N7) from the n-slope. These observations further validate the present result that more polymorphic sites are present in S1, S2 and S3 strains for bml and PKC loci as compared to the N5, N6 and N7 strains. Few of these between-slope differentiation were transferred to two generations (F1 and F2), with usual natural mutation frequencies of 1.9% for the strains of the SFS (south facing slope) and 0.8% for NFS (north facing slope) of evolution Canyon. Similar between-slope variations were found for ascosporic germination-resistant to acriflavine, with high frequencies in strains from the SFS.
Different strains of Penicillium lanosum and Aspergillus niger were checked under the natural environment of laboratory to observe the variations in conidial color and in other morphological characters. The rate of mutations was evidently related to whether these strains had been collected from area of high temperature and radiations or mild environment. More variations were also observed as found in the present findings that conidial color differences are more pronounced in strains that were taken from drier, harsh, high temperature, and with much UV radiation than the opposed slope (Lamb et al., 1998).
Similarly, Rosenzweig and Volz (1998) studied eleven species from the n-slope and s-slope of the evolution Canyon and studied the effect of cobalt 60 irradiation on the growth rate of these species and observed the marked differences in growth rates, morphological characters and rate of sporulation in those species that were isolated from the south slope. Arif et al. (2017) determined the enrichment of SSR between the strains of these two slopes and found high number of short sequences repeats and point mutations in the strains of the SFS of EC. Highly polymorphic nature of V4 regions was found in the S1, S2 and S3 strains of S. fimicola (Arif and Saleem, 2016) while no polymorphism was found when ITS region of these strains were amplified by Arif et al. (2016). Genetic diversity for the frequency clock and mating type a1 genes were also reflected in the strains of the s-slope (Arif et al., 2017).
Protein kinase C (PKC) and bml homolog of beta tubulin proteins in parental strains and their F3 and F4 generations were aligned to study post translational modifications by applying different bioinformatics software. Highly conserved nature of bml protein was found between the four species of Sordaria and N. crassa (Fig. 3). Polymorphisms on 9 different residues were observed when strains under investigations were aligned with four different species of Sordaria and N. crassa i.e. mutations on 37I, 58Y, 62S, 68D, 69V, 85T, 86S, 87A, and 97T. Among these mutations; mutations at S62, D68, Y58, and 85T, S86, A87 and T97 are present only in Neurospora crassa as compared to the four species of Sordaria. S. brevicollis differed from other three species of Sordaria on two residues i.e. 86A and 97 (Fig. 4). This indicates that PKC protein varied at genus level and can be used to determine phylogenetic relationship between different species. Point mutations in conserved region of homologous PKC protein were identified by different workers (Detlef et al., 1999; Hietakangas et al., 2006; Gregoire et al., 2006; Park et al., 2011).
This study reports the phosphorylation of bml proteins on 5 residues of four species of Sordaria on similar positions i.e. 16S, 6T, 22T, 33Y and 42Y but in N. crassa the phosphorylation on similar residues were observed but at different positions (Table I). Present results revealed that glycosylation and phosphorylation on the serine/threonine/tyrosine in the N. crassa and S. fimicola showed conserved nature and these poly-modifications are homologous in all strains and controlled by similar kinases. Currently, 8 serine/threonine protein kinase genes are predicted in N. crassa that are involved in the phosphorylation on PKC protein while in four species of Sordaria, total 13 kinases are involved out of which four kinases are considered to play the important role for the regulation of phosphorylation for bml beta-tubulin protein in these species (Cdc2, CKII, INSR and Unsp). All these kinases performed phosphorylation on similar positions in Sordaria species but in N. crassa they worked on different positions (Table I).
In the same way as mentioned above Park et al. (2011) predicted 107 ser/thr protein kinase genes in N. crassa of which 89 ser/thr kinases were selected for further analysis. They studied 89 different genes during their investigation, and found that six genes are unique to filamentous fungi. Based upon the catalytic activity, PKs (protein kinases) are divided into many groups e.g. the AGC group includes three kinds of kinases, PKA, PKG and PKC; ARK group, the ribosomal S6 kinase, NDR (Marcote et al., 1992; Dickman and Yarden, 1999; Franchi et al., 2005). The CK1 is a small but important group in eukaryotes having CK1 protein family; the CAMK group has CAMK1 and CAMK2 protein kinases. As it is clear from the Table I that AGC group also play essential role for the regulation of PKC protein in two filamentous fungi i.e. N. crassa and Sordaria species.
It was shown that Cdc2 Kinase performed the function of phosphorylation of bml beta tubulin homolog protein on Ser16. Cdc2 activation takes place during cell cycle by binding with a regulatory subunit known as cyclin (Janke and ChloeBulinski, 2011). Tyrosination involves the joining of tyrosine amino acid on α tubulin C-terminal on the place of glutamate residue, the enzyme involved is the tubulin tyrosine ligase (TTL), this happens in the stable hetero-dimer of microtubules. Tyrosine kinase is responsible for the phosphorylation of two residual locations at Ty-33 and Ty-42 (Table I). The threonine phosphorylation takes place on two positions Th-22 and Th-6 with the involvement of CkII and Unsp protein. Casein is the acidic protein phosphorylated by CkII enzymes. Phosphorylation of th-22 is unspecified. β tubulin is a basic unit for the construction of all microtubules, but on the basis of PTMs microtubules vary. These structural modifications have been conserved during evolution and specify them in their functions (Jennetta et al., 2008). The assemblage of microtubules makes cytoskeleton and α/β heterodimers which are responsible for the formation of various structures like spindle fibers during mitosis. PTMs like acetylation, phosphorylation and Glycosylation in the tubulin protein leads the particular functions and also maintains their stability. Post translational modifications are a reversible process which takes part in the cell development, growth and transport etc (Ahmed et al., 2007).
S. fimicola, S. brevicollis, S. macrospora, S. tomanto-alba, and Neurospora crassa revealed predicted PTMs on similar residues of tyrosine, threonine and serine. But there are some variations in PTMs of N. crassa at same gene which define variable nature of PTMs (Robles-Flore et al., 2008). By using western blot analysis activation of the
Table I. Phosphorylation and O-glycosylation predicted residue sites of β-tubulin, BML and PKC proteins with different kinds of kinases involved.
Organism |
Residue |
Phosphorylation |
Glycosylation and YinOYang |
Protein kinases |
||||
Bml protein |
Cdc2 |
CkII |
INSR |
Unsp |
||||
S.f |
Sr |
16 |
- |
16 |
- |
- |
- |
|
Tr |
6,22 |
6 |
- |
22 |
- |
6 |
||
Y |
33,42 |
- |
- |
- |
33 |
33, 42 |
||
S.m |
Sr |
16 |
- |
16 |
- |
- |
- |
|
Tr |
6,22 |
6 |
- |
22 |
- |
6 |
||
Y |
33,42 |
- |
- |
- |
33 |
33, 42 |
||
S.t |
Sr |
16 |
- |
16 |
- |
- |
- |
|
Tr |
6,22 |
6 |
- |
22 |
- |
6 |
||
Y |
33,42 |
- |
- |
- |
33 |
33, 42 |
||
S.b |
Sr |
16 |
- |
16 |
- |
- |
- |
|
Tr |
6,22 |
6 |
- |
22 |
- |
6 |
||
Y |
33,42 |
- |
- |
- |
33 |
33, 42 |
||
N.c |
Sr |
12 |
- |
12 |
- |
- |
- |
|
Tr |
2,18 |
2 |
- |
18 |
- |
- |
||
Y |
29,38 |
- |
- |
- |
29 |
29, 38 |
||
PKC protein |
PKC |
PKA |
Cdc2 |
Unsp |
||||
S.f |
Sr |
38,42,47,51,73,77,80,128 |
73 |
47, 128 |
57, 73 |
73, 80, 128 |
38, 42, 47, 51, 73. 128 |
|
Tr |
6,62,116 |
- |
6 |
- |
116 |
62, 116 |
||
Y |
106. 140 |
- |
- |
- |
- |
106, 140 |
||
S.m |
Sr |
38,42,47,52,73,77,80,128. |
73 |
47, 128 |
52, 73 |
73, 80, 128 |
38, 42, 47, 52, 73. 128 |
|
Tr |
6,62,116 |
- |
6 |
- |
116 |
62, 116 |
||
Y |
106. 140 |
- |
- |
- |
- |
106, 140 |
||
S.t |
Sr |
38,42,47,51,73,77,80,128. |
73 |
47, 128 |
51, 73 |
73, 80, 128 |
38, 42, 47, 51, 73. 128 |
|
Tr |
6,62,116 |
- |
6 |
- |
116 |
62, 116 |
||
Y |
106. 140 |
- |
- |
- |
- |
106, 140 |
||
S.b |
Sr |
38,42,47,51,73,77,88,98,128 |
73, 98 |
47, 128 |
51. 73 |
73, 88, 98, 128 |
38, 42, 47, 51, 73. 98, 128 |
|
Tr |
6,62,116 |
- |
6 |
- |
116 |
62, 116 |
||
Y |
106. 140 |
- |
- |
- |
- |
106, 140 |
||
N.c |
Sr |
38,42,47,51,62,73,80,128 |
73 |
47, 73,128 |
51, 73 |
80, 128 |
38, 42, 47, 51, 62, 73, 128 |
|
Tr |
6,86,98,116 |
- |
6 |
- |
98 |
73, 128 |
||
Y |
58,106,140 |
- |
- |
- |
- |
116 |
PKC can be studied. The analysis showed that all expressed PKC isozymes are changed due to phosphorylation and nitration of PKC enzyme on tyrosine residue (Cristina et al., 2010).
CONCLUSION
It is concluded that O-GlcNAc of protein residues threonine and serine play an essential role in the modification and regulation of the PKC. PKC stimulation enhanced the proteins PTMs and may decrease the N-Glycosylation, although activation of PKC increases the O-linked beta-N-acetylation and tyrosine modification.
Statement of conflict of interest
The authors have declared no conflict of interest.
REFERENCES
Abeyweera, T.P., Chen, X. and Rotenberg, S.A., 2009. Phosphorylation of α6-Tubulin by protein kinase Cα activates mobility of human breast cells. J. biol. Chem., 284: 17648-17656. https://doi.org/10.1074/jbc.M902005200
Ahmad, I., Ahmad, W., Nasir, I.W., Saleem, M., Shakoori. A.R. and Din, N.U., 2007. Histone H1 sub-types in mouse: Interplay between phosphorylation and O-glycosylation. Pakistan J. Zool., 39: 245-257.
Arif, R., Akram, F., Jamil, T., Mukhtar, H. and Saleem, M., 2017. Genetic variation and its reflection on post translational modifications in frequency clock and mating type a-1 proteins in Sordaria fimicola. Biomed. Res. Int., 10: 1-10. https://doi.org/10.1155/2017/1268623
Arif, R., Lee, S.F. and Saleem, M., 2017. Evaluating short sequence repeat markers in S. fimicola by high resolution melt analysis. Int. J. Agric. Biol., 19: 248-254. https://doi.org/10.17957/IJAB/15.0269
Arif, R. and Saleem, M., 2016. Study of internal transcribed spacer region-II and full ITS region in different natural strains of Sordaria fimicola. Sci. Int. Lhr., 28: 2561-2567.
Beltrao, P., Alban`ese, V., Kenner, L.R., Swaney, D.L., Burlingame, A., Vill´en, J., Lim, W.A., Fraser, J.S., Frydman, J. and Krogan, N.J., 2012. Systematic functional prioritization of protein posttranslational modifications. Cell, 150: 413–425. https://doi.org/10.1016/j.cell.2012.05.036
Beltrao, P., Bork, P., Krogan, N.J. and van Noort, V., 2013. Evolution and functional cross-talk of protein post-translational modifications. Mol. Syst. Biol., 9: 714. https://doi.org/10.1002/msb.201304521
Cristina, M., Razo-Paredes, R., Carrisoza-Gaytán, R., González-Mariscal, L. and Robles-Flores, M., 2010. Protein kinase C is involved in the regulation of several calreticulin posttranslational modifications. Int. J. Biochem. Cell Biol., 42: 120-131. https://doi.org/10.1016/j.biocel.2009.09.019
Detlef, M., Silke, K., Simone, H. and Peter, S., 1999. Amino acids of conserved kinase motifs of cytomegalovirus protein UL97 are essential for autophosphorylation. J. Virol., 73: 8898-8890. https://doi.org/10.1128/JVI.73.10.8898-8901.1999
Dickman, M.B., Yarden, O., 1999. Serine/threonine protein kinases and phosphatases in filamentious fungi. Fungal Genet. Biol., 26: 99–117. https://doi.org/10.1006/fgbi.1999.1118
Farhadi, A., Keshavarzian, A., Ranjbaran, Z., Fields, J.Z. and Banan, A., 2006. The role of protein kinase C isoforms in modulating injury and repair of the intestinal barrier. J. Pharmacol. exp. Ther., 316: 1– 7. https://doi.org/10.1124/jpet.105.085449
Franchi, L., Fulci, V. and Macino, G., 2005. Protein kinase C modulates light responses in Neurospora by regulating the blue light photoreceptor WC-1. Mol. Microbiol., 56: 334–345. https://doi.org/10.1111/j.1365-2958.2005.04545.x
Grégoire, S., Tremblay, A.M., Xiao, L., Yang, Q., Ma, K., Nie, J., Mao, Z., Wu, Z., Giguère, V. and Yang, X.J., 2006. Control of MEF2 transcriptional activity by coordinated phosphorylation and sumoylation. J. biol. Chem., 281: 4423–4433. https://doi.org/10.1074/jbc.M509471200
Hietakangas, V., Anckar, J., Blomster, H.A., Fujimoto, M., Palvimo, J.J., Nakai, A. and Sistonen, L., 2006. PDSM, a motif for phosphorylation-dependent SUMO modification. Proc. natl. Acad. Sci., 103: 45–50. https://doi.org/10.1073/pnas.0503698102
Jaken, S. and Parker, P.J., 2000. Protein Kinase C binding partner. Biol. Essays, 22: 245– 254. https://doi.org/10.1002/(SICI)1521-1878(200003)22:3<245::AID-BIES6>3.0.CO;2-X
Janke, C. and ChloëBulinski, J., 2011. Post-translational regulation of the microtubule cytoskeleton: mechanisms and functions. Nat. Rev. mol. cell. Biol., 12: 773–786. https://doi.org/10.1038/nrm3227
Jarmo, T., Juuti, S.J., Mika, T., Tarkka, L.P. and Jarkko, L., 2005. Two phylogenetically highly distinct b-tubulin genes of the basidiomycete Suillus bovines. Curr. Genet., 47: 253–263. https://doi.org/10.1007/s00294-005-0564-6
Jennetta, H., Dawen, C., Kristen, J. and Verhey K.J., 2008. Tubulin modifications and their cellular functions. Curr. Opin. Cell Biol., 20: 71–76. https://doi.org/10.1016/j.ceb.2007.11.010
Lamb, B.C., Saleem, M., Scott, W., Thapa, N. and Nevo, E., 1998. Inherited and environmentally induced differences in mutation frequencies between wild strains of Sordaria fimicola from evolution canyon. Genetics, 149: 87–99.
Larsson, C., 2006. Protein kinase C and the regulation of the actin cytoskeleton. Cell Signal., 18: 276– 284. https://doi.org/10.1016/j.cellsig.2005.07.010
Li, X., Foley, E.A., Kawashima, S.A., Molloy, K.R., Li, Y., Chait, B.T. and Kapoor, T.M., 2013. Examining post-translational modification-mediated protein-protein interactions using a chemical proteomics approach. Protein Sci., 22: 287–295. https://doi.org/10.1002/pro.2210
Marcote, M.J., Pagano, M. and Draetta, G., 1992. Structure- function relationships. Ciba Found. Symp., 170: 30-41.
Minguez, P., Letunic, I., Parca, L., Garcia-Alonso, L., Dopazo, J., Huerta-Cepas, J. and Bork, P., 2015. PTMcode v2: a resource for functional associations of post-translational modifications within and between proteins. Nucl. Acids Res., 43: 494-502. https://doi.org/10.1093/nar/gku1081
Mobeen, I., Arif, R., Ilyas, M., Lee, S.F. and Saleem, M., 2022. Identification and genotyping of SNPs in RKM1 and RKM4 genes in Sordaria fimicola. Pakistan J. Zool., 54: 529-535. https://dx.doi.org/10.17582/journal.pjz/20190902090906
Oakley, B.R., 2004. Tubulins in Aspergillus nidulans. Fungal Genet. Biol., 41: 420–427. https://doi.org/10.1016/j.fgb.2003.11.013
Park, G., Servin, J.A., Turner, G.E., Altamirano, L., Colot, H., V., Collopy, P., Litvinkova, L., Li, L., Jones, C.A., Diala, F., Dunlap, J.C. and Borkovich, K.A., 2011. Global analysis of serine-threonine protein kinase genes in Neurospora crassa. Eukary. Cell, 10: 1553–1564. https://doi.org/10.1128/EC.05140-11
Penn, T.J., Wood, M.E., Soanes, D.M., Csuki, M., Corran, A.J. and Talbot, N.J., 2015. Protein kinase C is essential for viability of the rice blast fungus Magnaportheoryzae, Wiley. Mol. Microbiol., 98: 1122-1129. https://doi.org/10.1111/mmi.13132
Pietro, S., Fulton, T.M., Chunwongesm, J. and Tanksley, S.D., 1995. Extraction of high quality DNA for Genome Sequencing. Mol. Biol. Rep., 13: 207. https://doi.org/10.1007/BF0267089
Rabinovitz, I., Tsomo, L. and Mercurio, A.M., 2004. Protein kinase C-alpha phosphorylation of specific serines in the connecting segment of the beta 4 integrin regulates the dynamics of type II hemidesmosomes. Mol. syst. Biol., 24: 4351– 4360. https://doi.org/10.1128/MCB.24.10.4351-4360.2004
Robles-Flore, M., Melendez, L., Garcia, W., Mendoza-Hernandez, G., Lam, T.T., Castaneda-Patlan, C. and Gonzalez-Aguilar, H., 2008. Posttranslational modifications on protein kinase c isozymes. Effects of epinephrine and phorbol esters. Biochim. biophys. Acta, 1783: 695-712. https://doi.org/10.1016/j.bbamcr.2007.07.011
Rosenzweig, N. and Volz, P.A., 1998. Macroscopic variations of microfungal isolates from Evolution Canyon, Lower Nahal Oren, Mount Carmel, Haifa, Israel. Microbios, 94: 83-93.
Saleem, M., Lamb, B.C. and Nevo, E., 2001. Inherited differences in crossing over and gene conversion frequencies between wild strains of Sordaria fimicola from Evolution Canyon. Genetics, 159: 1573–1593.
Van Roey, K., Dinkel, H., Weatheritt, R.J., Gibson, T.J. and Davey, N.E., 2013. The switches. ELM resource: A compendium of conditional regulatory interaction interfaces. Sci. Signal., 6: rs7. https://doi.org/10.1126/scisignal.2003345
To share on other social networks, click on any share button. What are these?