FREQ-Seq: a rapid, cost-effective, sequencing-based method to determine allele frequencies directly from mixed populations.
FREQ-Seq: a rapid, cost-effective, sequencing-based method to determine allele frequencies directly from mixed populations.
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FREQ-Seq:一种快速、经济高效、基于测序的方法,可直接从混合群体中确定等位基因频率。
DOI:
10.1371/journal.pone.0047959
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发表时间:
2012
期刊:
影响因子:
3.7
通讯作者:
Marx CJ
中科院分区:
文献类型:
--
作者:
Chubiz LM;Lee MC;Delaney NF;Marx CJ
Understanding evolutionary dynamics within microbial populations requires the ability to accurately follow allele frequencies through time. Here we present a rapid, cost-effective method (FREQ-Seq) that leverages Illumina next-generation sequencing for localized, quantitative allele frequency detection. Analogous to RNA-Seq, FREQ-Seq relies upon counts from the >105 reads generated per locus per time-point to determine allele frequencies. Loci of interest are directly amplified from a mixed population via two rounds of PCR using inexpensive, user-designed oligonucleotides and a bar-coded bridging primer system that can be regenerated in-house. The resulting bar-coded PCR products contain the adapters needed for Illumina sequencing, eliminating further library preparation. We demonstrate the utility of FREQ-Seq by determining the order and dynamics of beneficial alleles that arose as a microbial population, founded with an engineered strain of Methylobacterium, evolved to grow on methanol. Quantifying allele frequencies with minimal bias down to 1% abundance allowed effective analysis of SNPs, small in-dels and insertions of transposable elements. Our data reveal large-scale clonal interference during the early stages of adaptation and illustrate the utility of FREQ-Seq as a cost-effective tool for tracking allele frequencies in populations.
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影响因子:
48
作者:
Gibson, Daniel G.;Young, Lei;Smith, Hamilton O.
通讯作者:
Smith, Hamilton O.
影响因子:
2.9
作者:
LENSKI, RE;ROSE, MR;TADLER, SC
通讯作者:
TADLER, SC
影响因子:
4.4
作者:
Kirov, G;Nikolov, I;O'Donovan, MC
通讯作者:
O'Donovan, MC
DOI:
10.1073/pnas.91.15.6808
发表时间:
1994-07-19
影响因子:
11.1
作者:
LENSKI, RE;TRAVISANO, M
通讯作者:
TRAVISANO, M
影响因子:
5.3
作者:
Norton, N;Williams, NM;O'Donovan, MC
通讯作者:
O'Donovan, MC