e-journal

Individual identification from genetic marker data:developments and accuracy comparisons of methods

---

Genetic marker-based identification of distinct individuals and recognition of duplicated individuals has important
applications in many research areas in ecology, evolutionary biology, conservation biology and forensics. The widely
applied genotype mismatch (MM) method, however, is inaccurate because it relies on a fixed and suboptimal threshold
number (TM) of mismatches, and often yields self-inconsistent pairwise inferences. In this study, I improved
MM method by calculating an optimal TM to accommodate the number, mistyping rates, missing data and allele frequencies
of the markers. I also developed a pairwise likelihood relationship (LR) method and a likelihood clustering
(LC) method for individual identification, using poor-quality data that may have high and variable rates of allelic
dropouts and false alleles at genotyped loci. The 3 methods together with the relatedness (RL) method were then
compared in accuracy by analysing an empirical frog data set and many simulated data sets generated under different
parameter combinations. The analysis results showed that LC is generally one or two orders more accurate for
individual identification than the other methods. Its accuracy is especially superior when the sampled multilocus
genotypes have poor quality (i.e. teemed with genotyping errors and missing data) and highly replicated, a situation
typical of noninvasive sampling used in estimating population size. Importantly, LC is the only method that guarantees
to produce self-consistent results by partitioning the entire set of multilocus genotypes into distinct clusters,
each cluster containing one or more genotypes that all represent the same individual. The LC and LR methods were
implemented in a computer program COLONY for free download from the Internet.

Keywords: clone, duplicates, genetic markers, relatedness, relationship

---

Ketersediaan

Tidak ada salinan data

Informasi Detail

Judul Seri

Molecular Ecology Resources

No. Panggil

-

Penerbit

: John Wiley & Sons., 2016

Deskripsi Fisik

Molecular Ecology Resources (2016) 16, 163–175

Bahasa

English

ISBN/ISSN

doi: 10.1111/1755-09

Klasifikasi

-

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

BIOLOGI

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Wati/Agus

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus masuk sebelum memberikan komentar