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Pairwise2 - Biopython - weird local alignment results

Hi,

I used 'pairwise2' in python to find where a oligo sequences came from.

I did 'local' alignment and got weird results.

Example seq.fa and primer.fa are below. '>primer' sequence is the first 14 bases in '>seq'

> seq
CCTCAACCTTCCAGGCTCGAGACATCCTCCCACCCCAGCCTCCCTAATAG
>primer
CCTCAACCTTCCAG

The code is

from itertools import product
from Bio import SeqIO
from Bio import pairwise2
from Bio.pairwise2 import format_alignment

seqs1 = SeqIO.to_dict(SeqIO.parse(open('./seq.fa'),'fasta'))
seqs2 = SeqIO.to_dict(SeqIO.parse(open('./primer.fa'),'fasta'))

result = open("./result.txt","w")
for sr1, sr2 in product(seqs1,seqs2):
    for a in pairwise2.align.localxx(str(seqs1[sr1].seq), str(seqs2[sr2].seq)):
           result.write(format_alignment(*a))

and results are

CCTCAACCTTCCAGGCTCGAGACATCCTCCCACCCCAGCCTCCCTAATAG
||||||||||||||||||||||||||||||||||||||||||||||||||
CCTC-A------A----C----C-T--T-------------C-C--A--G
  Score=14
CCTCAACCTTCCAGGCTCGAGACATCCTCCCACCCCAGCCTCCCTAATAG
||||||||||||||||||||||||||||||||||||||||||||||||||
CCTCA-------A----C----C-T--T-------------C-C--A--G
  Score=14
CCTCAACCTTCCAGGCTCGAGACATCCTCCCACCCCAGCCTCCCTAATAG
||||||||||||||||||||||||||||||||||||||||||||||||||
CCTCAA-----------C----C-T--T-------------C-C--A--G
  Score=14
CCTCAACCTTCCAGGCTCGAGACATCCTCCCACCCCAGCCTCCCTAATAG
||||||||||||||||||||||||||||||||||||||||||||||||||
CCTC-A------A--C------C-T--T-------------C-C--A--G
  Score=14
CCTCAACCTTCCAGGCTCGAGACATCCTCCCACCCCAGCCTCCCTAATAG
||||||||||||||||||||||||||||||||||||||||||||||||||
CCTCA-------A--C------C-T--T-------------C-C--A--G
  Score=14
CCTCAACCTTCCAGGCTCGAGACATCCTCCCACCCCAGCCTCCCTAATAG
||||||||||||||||||||||||||||||||||||||||||||||||||
CCTCAA---------C------C-T--T-------------C-C--A--G
  Score=14

Can somebody tell me what went wrong?

Thank you!

pairwise2 local-alignment biopython
• 7,629 views • link
updated by Ram Ram • written by mbk0asis mbk0asis

Just addressing the concept, shouldn't semi-global alignment be used to align a primer to a seq, where gaps are not penalized at the start of the primer sequence but are heavily penalized within?

• 0 views • link
written by Ram Ram

1 answer

Try the following:

for sr1, sr2 in product(seqs1,seqs2):
    for a in pairwise2.align.localms(str(seqs1[sr1].seq), str(seqs2[sr2].seq), 2, -1, -.5, -.1):
        result.write(format_alignment(*a))

I have added the penalty system to your alignment. This is taken from the Bio.pairwise2.

# Same as above, except now 0.5 points are deducted when opening a
# gap, and 0.1 points are deducted when extending it.

When you include penalties, your alignment should be local and work out. At least in the example you have provided above.

# Your input sequences.
CCTCAACCTTCCAGGCTCGAGACATCCTCCCACCCCAGCCTCCCTAATAG
||||||||||||||
CCTCAACCTTCCAG------------------------------------
  Score=28 
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
# Added Cs at the beginning to see whether local alignment still works
CCCCCCCCCCCCCCCCCCCCCTCAACCTTCCAGGCTCGAGACATCCTCCCACCCCAGCCTCCCTAATAG
                   ||||||||||||||
-------------------CCTCAACCTTCCAG------------------------------------
  Score=28
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
# Including an almost identical primer still aligns correctly

CCTCAACCTTCCAAGCTCCCTCAACCTTCCAGGCTCGAGACATCCTCCCACCCCAGCCTCCCTAATAG
                  ||||||||||||||
------------------CCTCAACCTTCCAG------------------------------------
  Score=28

Hope this solves your problem.

• 0 views • link
updated by Ram Ram • written by Felix_Sim Felix_Sim

Thank you, Felix! It works perfectly.

• 0 views • link
written by mbk0asis mbk0asis

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