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Need Suggestions from all you DNA barcode experts!!!
I have used matK, rbcL and rpoC1 for my model plant (total 7 populations A-G collected from different states of Mexico, 6 samples for each population have been investigated ). Now results are here-
mat K shows all 7 populations have 100% identical sequences. (Ok,I got it)
rbcL shows all populations have 100% identical sequences (but there is a single SNPs in one of the six samples of a population C). (Ok, I got it)
rpoC1 shows 4 populations have 100% Identical sequences (upps, I got it). Population C have 4 SNPs and other 2 populations A and B have 2 SNPs ( sharing same changes). (Wooo, What is this, its a different story???)
So as a beginner in DNA barcoding, I am confused about these results.
My questions are,
Are these populations belongs to the same species? If not, then what is the conclusion?
Are these results siginificant to publish? Are 1 or 2 changes (variations) enough to say that this population is a different species (as on the basis on 1 change Phylogenetic analysis create another clad)? How many changes (variation) are significant to consider a population as a different species?
All comments are welcome !!!!! Please!!!!!!!
Ashutosh
Views: 6
Replies to This Discussion
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Permalink Reply by Kris Jett on -
Hi Ashutosh,
You might want to consider posting this question in the Informatics and/or Taxon-based Barcoding discussion boards so that more people can find it and add their comments.
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Permalink Reply by Patricia Escalante on -
Dear Ashutosh,
Which plant species are you working with? Barcode markers are chosen to differentiate species, not populations, if you want to assess population differentiation perhaps you want to sequences other fragments with faster rates of evolution. So, if they arer 100% similar pretty much the markers are working, but I do not know if you have something to compare with. Perhaps you want to talk with my botanists colleagues at IBUNAM about your project. I suggest you call Lidia Cabrera (56229133) or look for her here. In the work I do (birds and butterflies) 2% or 2.2% differentiation is pretty good to differentiate species, this means 1 or 2 mutations are not enough, perhaps 14, but you are have to look at the pattern of distribution of this variablity and of course to other characters, morphology, habitat, etc. I hope this helps.
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