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      C. elegans interprets bacterial non-coding RNAs to learn pathogenic avoidance

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          Summary:

          C. elegans must distinguish pathogenic from nutritious bacterial food sources among the many bacteria it is exposed to in its environment 1 . Here we show that a single exposure to purified small RNAs isolated from pathogenic Pseudomonas aeruginosa (PA14) is sufficient to induce pathogen avoidance, both in the treated animals and in four subsequent generations of progeny. The RNA interference and piRNA pathways, the germline, and the ASI neuron are required for bacterial small RNA-induced avoidance behavior and transgenerational inheritance. A single P. aeruginosa non-coding RNA, P11, is both necessary and sufficient to convey learned avoidance of PA14, and its C. elegans target, maco-1, is required for avoidance. Our results suggest that this ncRNA-dependent mechanism evolved to survey the worm’s microbial environment, use this information to make appropriate behavioral decisions, and pass this information on to its progeny.

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          Most cited references47

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          Mfold web server for nucleic acid folding and hybridization prediction.

          M Zuker (2003)
          The abbreviated name, 'mfold web server', describes a number of closely related software applications available on the World Wide Web (WWW) for the prediction of the secondary structure of single stranded nucleic acids. The objective of this web server is to provide easy access to RNA and DNA folding and hybridization software to the scientific community at large. By making use of universally available web GUIs (Graphical User Interfaces), the server circumvents the problem of portability of this software. Detailed output, in the form of structure plots with or without reliability information, single strand frequency plots and 'energy dot plots', are available for the folding of single sequences. A variety of 'bulk' servers give less information, but in a shorter time and for up to hundreds of sequences at once. The portal for the mfold web server is http://www.bioinfo.rpi.edu/applications/mfold. This URL will be referred to as 'MFOLDROOT'.
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            Small silencing RNAs: an expanding universe.

            Since the discovery in 1993 of the first small silencing RNA, a dizzying number of small RNA classes have been identified, including microRNAs (miRNAs), small interfering RNAs (siRNAs) and Piwi-interacting RNAs (piRNAs). These classes differ in their biogenesis, their modes of target regulation and in the biological pathways they regulate. There is a growing realization that, despite their differences, these distinct small RNA pathways are interconnected, and that small RNA pathways compete and collaborate as they regulate genes and protect the genome from external and internal threats.
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              Moving beyond P values: data analysis with estimation graphics

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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                24 September 2021
                09 September 2020
                October 2020
                26 October 2021
                : 586
                : 7829
                : 445-451
                Affiliations
                [1 ]Department of Molecular Biology
                [2 ]LSI Genomics, Princeton University, Princeton NJ 08544
                Author notes
                [#]

                Equal contribution

                Author contributions: RK, RSM, GDV, ZG, and CTM designed experiments. RK and RSM performed experiments and analyzed data. GDV constructed P11 E. coli and PA14 mutant strains. LP and RK analyzed small RNAseq data. RK, RSM, and CTM wrote the manuscript.

                [* ]Corresponding Author: Correspondence and requests for materials should be addressed to ctmurphy@ 123456princeton.edu .
                Article
                NIHMS1604847
                10.1038/s41586-020-2699-5
                8547118
                32908307
                3b5d93f5-9997-4270-aa14-ff89506f6dcc

                Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

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