organic matter processing
Recently Published Documents


TOTAL DOCUMENTS

40
(FIVE YEARS 8)

H-INDEX

21
(FIVE YEARS 1)

2021 ◽  
Vol 8 ◽  
Author(s):  
Helge-Ansgar Giebel ◽  
Carol Arnosti ◽  
Thomas H. Badewien ◽  
Insa Bakenhus ◽  
John Paul Balmonte ◽  
...  

The Pacific Ocean constitutes about half of the global oceans and thus microbial processes in this ocean have a large impact on global elemental cycles. Despite several intensely studied regions large areas are still greatly understudied regarding microbial activities, organic matter cycling and biogeography. Refined information about these features is most important to better understand the significance of this ocean for global biogeochemical and elemental cycles. Therefore we investigated a suite of microbial and geochemical variables along a transect from the subantarctic to the subarctic Pacific in the upper 200 m of the water column. The aim was to quantify rates of organic matter processing, identify potential controlling factors and prokaryotic key players. The assessed variables included abundance of heterotrophic prokaryotes and cyanobacteria, heterotrophic prokaryotic production (HPP), turnover rate constants of amino acids, glucose, and acetate, leucine aminopeptidase and β-glucosidase activities, and the composition of the bacterial community by fluorescence in situ hybridization (FISH). The additional quantification of nitrate, dissolved amino acids and carbohydrates, chlorophyll a, particulate organic carbon and nitrogen (POC, PON) provided a rich environmental context. The oligotrophic gyres exhibited the lowest prokaryotic abundances, rates of HPP and substrate turnover. Low nucleic acid prokaryotes dominated in these gyres, whereas in temperate and subpolar regions further north and south, high nucleic acid prokaryotes dominated. Turnover rate constants of glucose and acetate, as well as leucine aminopeptidase activity, increased from (sub)tropical toward the subpolar regions. In contrast, HPP and bulk growth rates were highest near the equatorial upwelling and lowest in the central gyres and subpolar regions. The SAR11 clade, the Roseobacter group and Flavobacteria constituted the majority of the prokaryotic communities. Vertical profiles of the biogeochemical and microbial variables markedly differed among the different regions and showed close covariations of the microbial variables and chlorophyll a, POC and PON. The results show that hydrographic, microbial, and biogeochemical properties exhibited distinct patterns reflecting the biogeographic provinces along the transect. The microbial variables assessed contribute to a better and refined understanding of the scales of microbial organic matter processing in large areas of the epipelagic Pacific beyond its well-studied regions.


Author(s):  
Nilva Brandini ◽  
Eunice da Costa Machado ◽  
Christian J. Sanders ◽  
Luiz C. Cotovicz ◽  
Marcelo Corrêa Bernardes ◽  
...  

2021 ◽  
pp. 100025
Author(s):  
Tamara K. Harms ◽  
Peter M. Groffman ◽  
Lihini Aluwihare ◽  
Chris Craft ◽  
William R Wieder ◽  
...  

2021 ◽  
Author(s):  
Meredith A. Holgerson ◽  
Rachel A. Hovel ◽  
Patrick T. Kelly ◽  
Lauren E. Bortolotti ◽  
Jennifer A. Brentrup ◽  
...  

Author(s):  
Morimaru Kida ◽  
Nobuhide Fujitake ◽  
Taichi Kojima ◽  
Yukiko Tanabe ◽  
Kentaro Hayashi ◽  
...  

2021 ◽  
Vol 51 (1) ◽  
pp. 67-70
Author(s):  
Renato Tavares MARTINS ◽  
Kleicy Maciel SOARES ◽  
Neusa HAMADA

ABSTRACT We reared field-collected egg masses of the caddisflies Phylloicus amazonas (n = 2) and Phylloicus elektoros (n = 7) to adulthood. First instar larvae of both species hatched up to five days after field collection. Median development time from first larval instar to adult was 229 days for P. amazonas and 275 for P. elektoros, including the pupal development time (median of 13.5 and 16 days, respectively). Shredder organisms have been used frequently in studies related to organic matter processing in freshwater ecosystems. The biological information reported in here may be useful for the design of experimental studies in the field or under laboratory conditions.


2020 ◽  
Vol 54 (21) ◽  
pp. 13556-13565 ◽  
Author(s):  
Peter Herzsprung ◽  
Valerie Wentzky ◽  
Norbert Kamjunke ◽  
Wolf von Tümpling ◽  
Christin Wilske ◽  
...  

2018 ◽  
Author(s):  
Emily B. Graham ◽  
Alex R. Crump ◽  
David W. Kennedy ◽  
Evan Arntzen ◽  
Sarah Fansler ◽  
...  

AbstractBiogeochemical hotspots are pervasive at terrestrial-aquatic interfaces, particularly within groundwater-surface water mixing zones (hyporheic zones), and they are critical to understanding spatiotemporal variation in biogeochemical cycling. Here, we use multi ‘omic comparisons of hotspots to low-activity sediments to gain mechanistic insight into hyporheic zone organic matter processing. We hypothesized that microbiome structure and function, as described by metagenomics and metaproteomics, would distinguish hotspots from low-activity sediments through a shift towards carbohydrate-utilizing metabolic pathways and elucidate discrete mechanisms governing organic matter processing in each location. We also expected these differences to be reflected in the metabolome, whereby hotspot carbon (C) pools and metabolite transformations therein would be enriched in sugar-associated compounds. In contrast to expectations, we found pronounced phenotypic plasticity in the hyporheic zone microbiome that was denoted by similar microbiome structure, functional potential, and expression across sediments with dissimilar metabolic rates. Instead, diverse nitrogenous metabolites and biochemical transformations characterized hotspots. Metabolomes also corresponded more strongly to aerobic metabolism than bulk C content only (explaining 67% vs. 42% of variation), and bulk C did not improve statistical models based on metabolome composition alone. These results point to organic nitrogen as a significant regulatory factor influencing hyporheic zone organic matter processing. Based on our findings, we propose incorporating knowledge of metabolic pathways associated with different chemical fractions of C pools into ecosystem models will enhance prediction accuracy.


Sign in / Sign up

Export Citation Format

Share Document