AsChip: A High-Throughput qPCR Chip for Comprehensive Profiling of Genes Linked to Microbial Cycling of Arsenic

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AsChip : A High-Throughput qPCR Chip for Comprehensive Profiling of Genes Linked to Microbial Cycling of Arsenic. / Zhao, Yi; Su, Jian Qiang; Ye, Jun; Rensing, Christopher; Tardif, Stacie; Zhu, Yong Guan; Brandt, Kristian Koefoed.

In: Environmental Science and Technology, Vol. 53, No. 2, 15.01.2019, p. 798-807.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Zhao, Y, Su, JQ, Ye, J, Rensing, C, Tardif, S, Zhu, YG & Brandt, KK 2019, 'AsChip: A High-Throughput qPCR Chip for Comprehensive Profiling of Genes Linked to Microbial Cycling of Arsenic', Environmental Science and Technology, vol. 53, no. 2, pp. 798-807. https://doi.org/10.1021/acs.est.8b03798

APA

Zhao, Y., Su, J. Q., Ye, J., Rensing, C., Tardif, S., Zhu, Y. G., & Brandt, K. K. (2019). AsChip: A High-Throughput qPCR Chip for Comprehensive Profiling of Genes Linked to Microbial Cycling of Arsenic. Environmental Science and Technology, 53(2), 798-807. https://doi.org/10.1021/acs.est.8b03798

Vancouver

Zhao Y, Su JQ, Ye J, Rensing C, Tardif S, Zhu YG et al. AsChip: A High-Throughput qPCR Chip for Comprehensive Profiling of Genes Linked to Microbial Cycling of Arsenic. Environmental Science and Technology. 2019 Jan 15;53(2):798-807. https://doi.org/10.1021/acs.est.8b03798

Author

Zhao, Yi ; Su, Jian Qiang ; Ye, Jun ; Rensing, Christopher ; Tardif, Stacie ; Zhu, Yong Guan ; Brandt, Kristian Koefoed. / AsChip : A High-Throughput qPCR Chip for Comprehensive Profiling of Genes Linked to Microbial Cycling of Arsenic. In: Environmental Science and Technology. 2019 ; Vol. 53, No. 2. pp. 798-807.

Bibtex

@article{4ae5666d16b545a09a176a92be8e8f2e,
title = "AsChip: A High-Throughput qPCR Chip for Comprehensive Profiling of Genes Linked to Microbial Cycling of Arsenic",
abstract = " Arsenic (As) is a ubiquitous toxic element adversely affecting human health. Microbe-mediated cycling of As is largely mediated by detoxification and energy metabolism in microorganisms. We here report the development of a novel high-throughput qPCR (HT-qPCR) chip (AsChip) for comprehensive profiling of genes involved in microbial As cycling (here collectively termed {"}As genes{"}). AsChip contained 81 primer sets targeting 19 As genes and the 16S rRNA gene as a reference gene. Gene amplicon sequencing showed high identity (>96%) of newly designed primers corresponding to their targets. AsChip displayed high sensitivity (plasmid template serial dilution test; r = -0.99), with more than 96% of all PCR assays yielding true positive signals. R 2 coefficients for standard curves and PCR amplification efficiencies averaged 0.98 and 0.99, respectively. A high correlation between C T values obtained by AsChip and conventional qPCR was obtained (r = 0.962, P < 0.001). Finally, we successfully applied AsChip on soil samples from a chromium-copper-arsenic-contaminated field site and identified diverse As genes with total abundance average of 0.4 As gene copies per 16S rRNA. Our results indicate that AsChip constitutes a robust tool for comprehensive quantitative profiling of As genes in environmental samples. ",
author = "Yi Zhao and Su, {Jian Qiang} and Jun Ye and Christopher Rensing and Stacie Tardif and Zhu, {Yong Guan} and Brandt, {Kristian Koefoed}",
year = "2019",
month = jan,
day = "15",
doi = "10.1021/acs.est.8b03798",
language = "English",
volume = "53",
pages = "798--807",
journal = "Environmental Science &amp; Technology",
issn = "0013-936X",
publisher = "American Chemical Society",
number = "2",

}

RIS

TY - JOUR

T1 - AsChip

T2 - A High-Throughput qPCR Chip for Comprehensive Profiling of Genes Linked to Microbial Cycling of Arsenic

AU - Zhao, Yi

AU - Su, Jian Qiang

AU - Ye, Jun

AU - Rensing, Christopher

AU - Tardif, Stacie

AU - Zhu, Yong Guan

AU - Brandt, Kristian Koefoed

PY - 2019/1/15

Y1 - 2019/1/15

N2 - Arsenic (As) is a ubiquitous toxic element adversely affecting human health. Microbe-mediated cycling of As is largely mediated by detoxification and energy metabolism in microorganisms. We here report the development of a novel high-throughput qPCR (HT-qPCR) chip (AsChip) for comprehensive profiling of genes involved in microbial As cycling (here collectively termed "As genes"). AsChip contained 81 primer sets targeting 19 As genes and the 16S rRNA gene as a reference gene. Gene amplicon sequencing showed high identity (>96%) of newly designed primers corresponding to their targets. AsChip displayed high sensitivity (plasmid template serial dilution test; r = -0.99), with more than 96% of all PCR assays yielding true positive signals. R 2 coefficients for standard curves and PCR amplification efficiencies averaged 0.98 and 0.99, respectively. A high correlation between C T values obtained by AsChip and conventional qPCR was obtained (r = 0.962, P < 0.001). Finally, we successfully applied AsChip on soil samples from a chromium-copper-arsenic-contaminated field site and identified diverse As genes with total abundance average of 0.4 As gene copies per 16S rRNA. Our results indicate that AsChip constitutes a robust tool for comprehensive quantitative profiling of As genes in environmental samples.

AB - Arsenic (As) is a ubiquitous toxic element adversely affecting human health. Microbe-mediated cycling of As is largely mediated by detoxification and energy metabolism in microorganisms. We here report the development of a novel high-throughput qPCR (HT-qPCR) chip (AsChip) for comprehensive profiling of genes involved in microbial As cycling (here collectively termed "As genes"). AsChip contained 81 primer sets targeting 19 As genes and the 16S rRNA gene as a reference gene. Gene amplicon sequencing showed high identity (>96%) of newly designed primers corresponding to their targets. AsChip displayed high sensitivity (plasmid template serial dilution test; r = -0.99), with more than 96% of all PCR assays yielding true positive signals. R 2 coefficients for standard curves and PCR amplification efficiencies averaged 0.98 and 0.99, respectively. A high correlation between C T values obtained by AsChip and conventional qPCR was obtained (r = 0.962, P < 0.001). Finally, we successfully applied AsChip on soil samples from a chromium-copper-arsenic-contaminated field site and identified diverse As genes with total abundance average of 0.4 As gene copies per 16S rRNA. Our results indicate that AsChip constitutes a robust tool for comprehensive quantitative profiling of As genes in environmental samples.

UR - http://www.scopus.com/inward/record.url?scp=85060111870&partnerID=8YFLogxK

U2 - 10.1021/acs.est.8b03798

DO - 10.1021/acs.est.8b03798

M3 - Journal article

C2 - 30532956

AN - SCOPUS:85060111870

VL - 53

SP - 798

EP - 807

JO - Environmental Science &amp; Technology

JF - Environmental Science &amp; Technology

SN - 0013-936X

IS - 2

ER -

ID: 216212290