Literature DB >> 31615152

Correction: Berner, D. Allele Frequency Difference AFD-An Intuitive Alternative to FST for Quantifying Genetic Population Differentiation. Genes 2019, 10, 308.

Daniel Berner1.   

Abstract

This note is to correct an error in my paper, concerning the Shannon differentiation metric (DShannon) (Reference [43] in the paper). The paper states that DShannon is undefined mathematically whenever one or both populations are monomorphic, that is, fixed for a single allele. Accordingly, the DShannon curve in Figure 1a, showing population differentiation in relation to allele counts for the case in which the pooled minor allele frequency (MAF) is maximal, did not extend across the full range of allele counts; the rightmost data point reflecting complete population differentiation was missing. Moreover, DShannon was completely missing in Figure 1b visualizing the continuum of allele frequency differentiation when the MAF is minimal (one population monomorphic across the entire allele count range).

Entities:  

Year:  2019        PMID: 31615152      PMCID: PMC6826353          DOI: 10.3390/genes10100810

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


This note is to correct an error in my paper, concerning the Shannon differentiation metric (D) (Reference [43] in the paper). The paper states that D is undefined mathematically whenever one or both populations are monomorphic, that is, fixed for a single allele. Accordingly, the D curve in Figure 1a, showing population differentiation in relation to allele counts for the case in which the pooled minor allele frequency (MAF) is maximal, did not extend across the full range of allele counts; the rightmost data point reflecting complete population differentiation was missing. Moreover, D was completely missing in Figure 1b visualizing the continuum of allele frequency differentiation when the MAF is minimal (one population monomorphic across the entire allele count range).
Corrected Figure 1

Population differentiation expressed by different metrics, including re-calculated Shannon differentiation (D). G and Theta were calculated according to the formulas (8) and (6) provided in Reference [28] in the paper. D was calculated using formula (13) in Reference [14]. All graphing conventions follow Figure 1 in the paper.

The reason why D appeared undefined in these situations is that in monomorphic populations, the p summand for the missing allele in the Shannon entropy formula (page 4 in the Supplementary Material to Reference [43]) will contain the logarithm of zero, which is negatively infinite. However, I overlooked that whenever the frequency of one allele is zero, the corresponding summand should be substituted by zero. Doing so produces a defined Shannon entropy value needed for the subsequent calculation of D according to the instructions on page 5 in the Supplementary Material to Reference [43]. Following this convention, D is indeed always defined and ranging between zero and one. The figure below is a copy of Figure 1 in the paper, but with D calculated by following the above convention. I thank William Sherwin, Anne Chao, Lou Jost, and Peter Smouse for bringing this issue to my attention.
  6 in total

1.  Genetic diversity of 'Very Important Pharmacogenes' in two South-Asian populations.

Authors:  Neeraj Bharti; Ruma Banerjee; Archana Achalere; Sunitha Manjari Kasibhatla; Rajendra Joshi
Journal:  PeerJ       Date:  2021-11-10       Impact factor: 2.984

2.  Detecting steps in spatial genetic data: Which diversity measures are best?

Authors:  Alexander T Sentinella; Angela T Moles; Jason G Bragg; Maurizio Rossetto; William B Sherwin
Journal:  PLoS One       Date:  2022-03-14       Impact factor: 3.240

3.  The Difference in the Proportions of Deleterious Variations within and between Populations Influences the Estimation of FST.

Authors:  Sankar Subramanian
Journal:  Genes (Basel)       Date:  2022-01-22       Impact factor: 4.096

4.  Bray-Curtis (AFD) differentiation in molecular ecology: Forecasting, an adjustment ( A A), and comparative performance in selection detection.

Authors:  William B Sherwin
Journal:  Ecol Evol       Date:  2022-09-11       Impact factor: 3.167

5.  The New Is Old: Novel Germination Strategy Evolved From Standing Genetic Variation in Weedy Rice.

Authors:  Chengchuan Zhou; Yang Feng; Gengyun Li; Mengli Wang; Jinjing Jian; Yuguo Wang; Wenju Zhang; Zhiping Song; Linfeng Li; Baorong Lu; Ji Yang
Journal:  Front Plant Sci       Date:  2021-06-21       Impact factor: 6.627

6.  Disagreement in FST estimators: A case study from sex chromosomes.

Authors:  William J Gammerdinger; Melissa A Toups; Beatriz Vicoso
Journal:  Mol Ecol Resour       Date:  2020-07-06       Impact factor: 7.090

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.