Get the polo kinase 1 (PLK1) sequence from http://www.uniprot.org/uniprot/P53350.fasta We will use phmmer because it is normally faster than blast. We will use ensembl human because it allows us especially for human because it is a consolidated genome set and it also allows us to easily distinguish splice variants from paralogs. If EBI/HMMER is down, you can do this exercise at NCBI blast. But then use refseq as a consolidated genome set (that does still contain splice variants) and change the word size to a higher number for some speed be prepared to wait quite long. Do a phmmer search at https://www.ebi.ac.uk/Tools/hmmer/search/phmmer and change the database to ensembl human.
We want to collect the kinase family members that are most closely related to plk1. One small but annoying disadvantage of the current implemententaion of hmmer is that a protein with multiple hits even if they are much less insignificant by themselves will rise to the top of the hit table. To visualize where our query hits press on the customize button in the right upper side of the output table and there check the checkbox for Hit Positions.
Now collect the best first 6 (includign plk1 itself) hits considering tha above. Thus different genes. And thus hits where one region in our query corresponds to one region in the hit, or two regions in our query correspond to two regions in the hit; but not hits where one region in our query correspond to two regions in the hit. Collecting these sequences is some work because the identifiers of the hits lead to ensembl gene entries. There you have to show the transcript table, from which either you can try and find the ensembl protein entry or click on the uniprot link and in uniprot change the format to fasta. Do not forget to include polo kinase 1 itself (which you can directly do from the uniprot link above saving you the trouble of clickign around on ensembl).
Put these sequences in a fasta file and if necessary rename the sequences such that their names reflect the species and their gene name / functional description. Go to clustal omega make an alignment and a tree. Look at the tree simply in the clustal omega server. Which kinases seem closer related to which?