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      Physical and electrical disturbance experiments uncover potential bottom fishing impacts on benthic ecosystem functioning

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      Journal of Experimental Marine Biology and Ecology
      Elsevier BV

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          Fitting Linear Mixed-Effects Models Usinglme4

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            Electric currents couple spatially separated biogeochemical processes in marine sediment.

            Some bacteria are capable of extracellular electron transfer, thereby enabling them to use electron acceptors and donors without direct cell contact. Beyond the micrometre scale, however, no firm evidence has previously existed that spatially segregated biogeochemical processes can be coupled by electric currents in nature. Here we provide evidence that electric currents running through defaunated sediment couple oxygen consumption at the sediment surface to oxidation of hydrogen sulphide and organic carbon deep within the sediment. Altering the oxygen concentration in the sea water overlying the sediment resulted in a rapid (<1-h) change in the hydrogen sulphide concentration within the sediment more than 12 mm below the oxic zone, a change explicable by transmission of electrons but not by diffusion of molecules. Mass balances indicated that more than 40% of total oxygen consumption in the sediment was driven by electrons conducted from the anoxic zone. A distinct pH peak in the oxic zone could be explained by electrochemical oxygen reduction, but not by any conventional sets of aerobic sediment processes. We suggest that the electric current was conducted by bacterial nanowires combined with pyrite, soluble electron shuttles and outer-membrane cytochromes. Electrical communication between distant chemical and biological processes in nature adds a new dimension to our understanding of biogeochemistry and microbial ecology.
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              Consistent sets of spectrophotometric chlorophyll equations for acetone, methanol and ethanol solvents.

              A set of equations for determining chlorophyll a (Chl a) and accessory chlorophylls b, c2, c1 + c2 and the special case of Acaryochloris marina, which uses Chl d as its primary photosynthetic pigment and also has Chl a, have been developed for 90% acetone, methanol and ethanol solvents. These equations for different solvents give chlorophyll assays that are consistent with each other. No algorithms for Chl c compounds (c2, c1 + c2) in the presence of Chl a have previously been published for methanol or ethanol. The limits of detection (and inherent error, +/- 95% confidence limit), for chlorophylls in all organisms tested, was generally less than 0.1 microg/ml. The Chl a and b algorithms for green algae and land plants have very small inherent errors (< 0.01 microg/ml). Chl a and d algorithms for Acaryochloris marina are consistent with each other, giving estimates of Chl d/a ratios which are consistent with previously published estimates using HPLC and a rarely used algorithm originally published for diethyl ether in 1955. The statistical error structure of chlorophyll algorithms is discussed. The relative error of measurements of chlorophylls increases hyperbolically in diluted chlorophyll extracts because the inherent errors of the chlorophyll algorithms are constants independent of the magnitude of absorbance readings. For safety reasons, efficient extraction of chlorophylls and the convenience of being able to use polystyrene cuvettes, the algorithms for ethanol are recommended for routine assays of chlorophylls. The methanol algorithms would be convenient for assays associated with HPLC work.
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                Author and article information

                Journal
                Journal of Experimental Marine Biology and Ecology
                Journal of Experimental Marine Biology and Ecology
                Elsevier BV
                00220981
                December 2021
                December 2021
                : 545
                : 151628
                Article
                10.1016/j.jembe.2021.151628
                4b4c7893-f735-4ddb-aa01-e7fd9330715b
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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