Francis Yeh
Professor, Renewable Resources
| Press Release |
FOR IMMEDIATE RELEASE
POPGENE UPDATE - VERSION 1.32 is now on the internet !
- From Edmonton, Alberta, Canada -
December 10, 1999 - We have released POPGENE version 1.32. This version enables the proper use of the “Save As” file command in previous 32-bit version.
It was brought to our attention recently that the “Save As” file command in previous 32-bit version did not function properly. POPGENE would terminate after the users have submitted the “Save As” file command. This problem has now been corrected and users can now save their files to a specified location on their computer using the “Save As” file command.
******************************************************************************************************************
POPGENE UPDATE - VERSION 1.31 is now on the internet !
- From Edmonton, Alberta, Canada -
August 28, 1999 - We have released POPGENE version 1.31. This version has a new graphics interface that produces publication quality dendrograms.
How To Use This New Feature?
For Windows 95, 98, and NT Users (32-bit version)
This version (1.31) has a new graphics interface that produces publication quality dendrograms.
POPGENE generates two dendrograms for each populations analysis, base on Nei's regular and unbiased genetic distance measures. Immediately after each of these dendrograms in the output file, you will now see "File Name: dgram1.plt " or "File Name: dgram2.plt ". These two files are stored in the same directory as your output file. They are the files you use for printing publication quality dendrogram.
Now, open your word-processing package such as Microsoft Word or Corel WordPerfect. Use the statements/commands "insert ® picture ® file from" to bring these files, "dgram1.plt" or "dgram2.plt" into your word processor.
For Windows 3.11 Users (16-bit version)
Users must first download and install the following file:
ftp://ftp.microsoft.com/Softlib/MSLFILES/HPGL.EXE
Then, follow the procedures detailed above for Windows 95, 98 and NT.
******************************************************************************************************************
POPGENE UPDATE - VERSION 1.21 is now on the internet !
- From Edmonton, Alberta, Canada -
November 5, 1997 - We have released POPGENE version 1.21 on November 4 at 11:50 pm, Mountain Time. You can check your current version by clicking on "Help" and then on "about" while in POPGENE.
Version 1.21 corrects an algorithm for computing Gst with haploid data. It also adjusts inference on gene flow for haploid data.
1. New Algorithm for Computing Gst with Halpoid Data: We corrected an error in our algorithm for computing Gst in January. Few weeks ago, we found the new codes were incorporated only into the model for "diploid" data. POPGENE Version 1.21 has now incorporated the new Gst algorithm for haploid data.
2. Gene Flow Estimate for Haploid Data: Gary Donaldson of University of B.C. brought to our attention the 1993 paper by McDermott & McDonald (Gene flow in plant pathosystems. Annu. Rev. Phytopathol. 31:353-373). Essentially, Gary suggested that we might have under-estimated gene flow by 100% in haploids. Gary thought that Nm should be = 0.5(1 - Gst)/Gst and not Nm = 0.25(1 - Gst)/Gst as we have in POPGENE. Intuitively, Nm = 0.5(1-Gst)/Gst for haploids appears sound. However, we are of the opinion that Nm = 0.5(1-Gst)/Gst would be appropriate only for species with known unisex/gametic/uni-parental pattern of gene flow. For example, via spores in fungi, chloroplast DNA in conifers (paternal inheritance), etc. However, not all haploid data reflect unisex/gametic/uni-parental pattern of gene flow. Haploid megagametophytic data in conifers is one such example so that Nm = 0.25(1 - Gst)/Gst. In POPGENE version 1.21, the new estimate of gene flow for haploid data is now from Nm = 0.5(1-Gst)/Gst (this equation is on the POPGENE output) , appropriate to haploid data that reflect unisex/gametic/uni-parental pattern of gene flow. If your data do not reflect unisex/gametic/uni-parental pattern of gene flow, then the true estimate of Nm should be one-half the value given by POPGENE. We welcome comments on this subject!!
******************************************************************************************************************
POPGENE is now on the internet !
- From Edmonton, Alberta, Canada -
July 24, 1997 - POPGENE, the user-friendly freeware for analyzing genetic variation among and within natural populations, is now available on the internet. The current version (Version 1.2) is designed specifically for the analysis of co-dominant and dominant markers using haploid and diploid data. POPGENE computes both comprehensive genetic statistics (e.g., allele frequency, gene diversity, genetic distance, G-statistics, F-statistics) and complex genetic statistics (e.g., gene flow, neutrality tests, linkage disequilibria, multi-locus structure). The computing modules are limited to a maximum of 1400 populations, 150 groups, 1000 loci and 52 alleles per locus. PC users can run POPGENE under Microsoft® Windows 3.11, 95 and NT. Mac users can run POPGENE on PowerPc. You must first install a software such as "Virtual PC" or "Soft Windows" on your PowerPc.
For More Information Contact:
Dr. Francis Yeh, University of Alberta, Edmonton, Alberta, Canada T6G 2H1
Tel: 780-492-3902
FAX: 780-492-4323
Internet: Francis.Yeh@Ualberta.CA