2017 IEEE Aerospace Conference 2017
DOI: 10.1109/aero.2017.7943896
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Towards in situ sequencing for life detection

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Cited by 27 publications
(33 citation statements)
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“…Raw data is then basecalled by applying algorithms such as Hidden Markov Models (Simpson et al, 2016) or Recurrent Neural Networks (Boža et al, 2017) that translate the collection of k-mers into consensus nucleic acid sequences. In previous work, we have demonstrated the capacity for these algorithms to detect non-standard bases by sequencing Poly(deoxyinosinic-deoxycytidylic) acid, a synthetic DNA polymer composed of alternating deoxy-inosine (I) and deoxy-cytosine (C) bases (Carr et al, 2017). This proof of principle demonstrates the detection of the non-standard inosine nucleoside, the nucleobase (hypoxanthine) of which which has been identified within meteorites (Martins et al, 2008); furthermore, work by others has demonstrated the ability to detect base modification such as methylation (Simpson et al, 2016) using novel basecalling algorithms.…”
Section: Detecting Non-standard Basesmentioning
confidence: 99%
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“…Raw data is then basecalled by applying algorithms such as Hidden Markov Models (Simpson et al, 2016) or Recurrent Neural Networks (Boža et al, 2017) that translate the collection of k-mers into consensus nucleic acid sequences. In previous work, we have demonstrated the capacity for these algorithms to detect non-standard bases by sequencing Poly(deoxyinosinic-deoxycytidylic) acid, a synthetic DNA polymer composed of alternating deoxy-inosine (I) and deoxy-cytosine (C) bases (Carr et al, 2017). This proof of principle demonstrates the detection of the non-standard inosine nucleoside, the nucleobase (hypoxanthine) of which which has been identified within meteorites (Martins et al, 2008); furthermore, work by others has demonstrated the ability to detect base modification such as methylation (Simpson et al, 2016) using novel basecalling algorithms.…”
Section: Detecting Non-standard Basesmentioning
confidence: 99%
“…To test these hypotheses, we are developing the Search for Extra-Terrestrial Genomes (SETG) life-detection instrument for in-situ extraction and nanopore sequencing of nucleic acids (Carr et al, 2017 from extant or preserved life on Mars. Assuming a convergent adoption of nucleic acids as the unitary solution of genetic information storage and transmission (e.g., DNA or RNA), long-read nanopore sequencing could be capable of detecting non-standard nucleic acids (Carr, 2016;Carr et al, 2017) possibly endemic to Mars .…”
Section: Introductionmentioning
confidence: 99%
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“…It has been hypothesized that the water may have originated from the melting of subsurface ice, the discharge of shallow aquifers, or the deliquescence of regolith salts by atmospheric water vapor (Grimm et al, ; Kannan et al, ; Ojha et al, ). Of course, attempts have been made to confirm the source of the liquid water (Carr et al, ), and sampling locations on Mars have included subsurface regions (Byrne et al, ; Dundas et al, ; Jones et al, ). These subsurface regions can be accessed by drilling or via geological features such as lava tubes, within which the search for Extra‐Terrestrial Genomes can be used to target extant or recently dead life (Ciarletti et al, ), given the limited lifetime of DNA on Earth (~106 years, due to hydrolysis) and on Mars (~107 years, due to self‐radiation) under otherwise protected conditions (Carr et al, ; Hays et al, ).…”
Section: Discussionmentioning
confidence: 99%