Samples were taken at harvest on Oct. 21, 2005. Berries with sugar accumulation disorder came from clusters on six vines that historically exhibited the disorder and showed symptoms in 2005 . Normally developing berries came from clusters on three nearby vines that had no history of sugar accumulation disorder and did not display symptoms at harvest. Two berries were sampled from each cluster and eight to 10 berries were pooled to ensure enough material for analysis. Berries were peeled, their seeds removed and flesh homogenized. One milliliter of the homogenate was used for the analysis of nitrogenous compounds. Individual amino acids in three samples of berries with sugar accumulation disorder and normally developing berries were measured at the UC Davis Molecular Structure Facility . Briefly, juice samples were acidified with sulfosalicylic acid to precipitate any intact protein before analysis. Free amino acids were separated using a Li-citrate buffer system with ion exchange chromatography on a Hitachi L-8900 amino acid analyzer. Amino acids were quantified by a post column ninhydrin-reaction detection system. Amino acid concentrations were quantified from peak areas using standard curves. Data was analyzed by ANOVA . Means comparisons were by Dunnett’s test at P = 0.01. Fruit with sugar accumulation disorder from the Oakville Experimental Vineyard had significant differences in many nitrogenous compounds compared to normally developing fruit .
The concentrations of some nitrogenous compounds increased while others decreased, nft system yet the overall amount of nitrogen per berry did not significantly differ. In addition to carbohydrate metabolism, nitrogen metabolism in fruit with sugar accumulation disorder was affected, although there was no net reduction in nitrogen import. The large increase in ammonium in fruit with sugar accumulation disorder suggests interference with transamination or ammonium assimilation processes . Excess ammonium is toxic, and might account for the increased cell death observed in berries with sugar accumulation disorder compared to normally developing fruit . The reduction in phenylalanine in fruit with sugar accumulation disorder may explain its poor coloration, as phenylalanine is a necessary component for the biosynthesis of anthocyanins . Likewise, an increase in the amino acid hydroxyproline may indicate a stress response. It remains unclear what changes in metabolism are leading to these observed differences in other nitrogenous compounds, but the fact that these differences exist suggests that both nitrogen and carbohydrate metabolism are affected by sugar accumulation disorder.Sugar accumulation disorder and bunch stem necrosis are often confused with one another due to the similar appearance of affected fruit. With sugar accumulation disorder, the rachis appears outwardly healthy with no signs of necrosis. These two disorders can usually be differentiated by berry composition as well.
As noted, berries affected by sugar accumulation disorder have lower Brix compared to normally developing fruit, whereas berries with bunch stem necrosis may have low to unusually high Brix depending on when in development the rachis becomes necrotic. The differences can often be large enough to distinguish by taste . In fact, fruit with sugar accumulation disorder stops accumulating sugar several weeks before shriveling symptoms become visible . In contrast to the shrivel of bunch stem necrosis, which can appear any time after veraison, the shrivel symptoms of sugar accumulation disorder usually appear late in ripening, several weeks to just days prior to harvest. Given these distinguishing characteristics, we suggest that the terms “sugar accumulation disorder” and “bunch stem necrosis” be adopted instead of “berry shrivel” and “waterberry,” which only describe fruit appearance/flavor.Fixed nitrogen is often a limiting nutrient for primary productivity in the surface ocean, and consequently influences the dynamics of oceanic carbon sequestration . Nitrogen fixation by marine cyanobacteria is an important source of oceanic fixed nitrogen, adding an estimated 100–200 Tg-N annually to open ocean ecosystems . This nitrogen fixation is often associated with cyanobacterial trichomes or aggregates colonized by heterotrophic bacteria, picoeukaryotes and metazoans . Respiratory activity within these so-called ‘pseudobenthic’ environments can create ephemeral suboxic to anoxic zones, establishing a niche for facultative anaerobes within otherwise oxygenated surface waters . Emerging evidence suggests that denitrification occurs within these anoxic habitats, coupling processes of nitrogen-fixation and loss at the microscale .
While initial studies of marine biological nitrogen fixation focused on colonial filamentous Trichodesmium species and symbiotic, heterocystous Richelia species , more recent work has demonstrated the importance of unicellular diazotrophic cyanobacteria from the order Chroococcales . Diazotrophic UCYN have been studied extensively in the global oceans by surveys of the nitrogenase gene nifH diversity, which revealed three phylogenetically distinct clades . UCYN-A are small , metabolically streamlined, uncultured cyanobacteria that lack the oxygen-producing photosystem II and live as endosymbionts within haptophytes, a lineage of eukaryotic algae . UCYN clades B and C are larger , free-living cyanobacteria and include cultured representatives, such as Crocosphaera watsonii and Cyanothece sp. ATCC51142. Studies of aggregate-associated nitrogen fixation have focused predominantly on Trichodesmium sp. colonies and rafts , or filamentous heterocystous cyanobacterial colonies . However, some Crocosphaera watsonii strains have been observed to produce copious quantities of exopolysaccharides and have been linked to the formation of transparent exopolymer particles . These gel-like particles provide microhabitats for other microorganisms, and thus have the potential to play an important role in marine biogeochemical cycling . Here, we report a new species of uncultured, unicellular cyanobacteria from the order Chroococcales which forms millimeter-sized aggregates together with diatoms and other putatively heterotrophic bacteria. These macroscopic aggregates, which we call “green berries,” are found in the muddy, intertidal pools of Little and Great Sippewissett salt marshes . They are found interspersed with previously described, sulfur-cycling “pink berry” consortia . Using a combination of metagenomic sequencing and ecophysiological measurements, we demonstrate that the green berries are characterized by diazotrophy and rapid rates of photosynthesis and respiration that produce steep oxygen gradients. Heterotrophic bacteria within the green berries are closely related to other marine epiphytic marine strains and encode key genes in the denitrification pathway. The green berries are found in the same organic-rich, intertidal pools of Little Sippewissett salt marsh on Cape Cod where both multicellular magnetotactic bacteria and pink berries have been previously studied . Though less abundant than the pink berries found in these pools , the green berries form similar irregular ellipsoid aggregates measuring 1–8 mm in diameter, with an average equivalent spherical diameter of 1.7 mm ± 0.1 mm . Green berries were dense and compact aggregates that were typically observed at the sediment-water interface, but were occasionally found to float at the water surface when suspended by bubbles. Microscopic observation of the green berries revealed abundant coccoid unicellular cyanobacteria 5–7 µm in diameter , interspersed with pennate diatoms . Filamentous cyanobacteria were observed occasionally, but were rare compared to the unicellular GB-CYN1 morphotype. A clear, extracellular matrix coated these aggregates of phototrophic cells, and was colonized by a variety of smaller bacteria . GB-CYN1 exhibited absorption maxima at 620, 660, and 680 nm corresponding to the presence of phycocyanin, hydroponic gutter allophycocyanin and chlorophyll a, respectively. Sequencing of 18S rRNA genes from the green berries indicated that the eukaryotic community was predominantly made up of two different pennate diatom species related to Navicula cari strain AT-82.04c and Amphora pediculus strain AT-117.11 . These same diatom species were also the dominant eukaryotic 18S rRNA gene sequences recovered from pink berry aggregates, though diatoms were more abundant in green berries than in pink berries, as observed by microscopy and the relative abundance of 16S rRNA chloroplast sequences . Bacterial 16S rRNA gene sequences amplified from the green berries were dominated by sequences related to either diatom chloroplasts or Chroococcales unicellular cyanobacteria .
Unassembled metagenomic sequence reads assigned to rRNA sequences and protein-coding regions support the observed abundance of Chroococcales , but did not recover comparable proportions of diatom chloroplasts . FIGURE 2 | Comparison of green berry bacterial diversity estimates from16S rDNA PCR amplified clones library with unassembled Roche 454 metagenomic sequence reads. Taxonomic assignment of metagenomic reads matching ribosomal RNA reads was conducted using the M5RNA database in MG-RAST . A similar taxonomic assignment was conducted with metagenomic reads matching protein coding sequences in the M5NR database . Note that the 16S rRNA clone library abundance data for the Bacillariophyta was obtained from diatom chloroplasts sequences, which are likely present in multiple copies in the cell and thus not directly comparable to metagenomic 18S rRNA sequences for this group . The overall bacterial community structure of the green berries was significantly different from coexisting pink berry consortia . Some abundant taxa from the pink berries co-occurred in the green berries as rare OTUs, such as the purple sulfur bacterial species Thiohalocapsa sp. PB-PSB1 , and a Winogradskyella species . The persistence of these distinct, co-occurring pink and green berry consortia suggests that the process of macroscopic aggregation enables niche partitioning between oxygenic and anoxygenic phototrophs in these marsh pools. Most of the non-cyanobacterial sequences in the green berry consortia are related to aerobic and facultatively anaerobic marine heterotrophs from the Bacteroidetes, Alphaproteobacteria, and Gammaproteobacteria . Many of these sequences were most closely related to environmental 16S rRNA sequences associated with aggregates of oxygenic phototrophs. Examples of such habitats included phytodetrital aggregates collected from euphotic and hadal environments , and epiphytes of marine macroalgae . The occurrence of related phylotypes in such environments suggests that taxa may be well adapted to an attached lifestyle, degradation of photosynthate, and the fluctuating oxygen conditions in an aggregate environment. Metagenomic data indicate that the orders Rhizobiales and Rhodobacterales of the Alphaproteobacteria are abundant in the green berry consortia. While these groups were rarely detected in the PCR-based 16S rRNA survey, we have previously observed this same PCR bias from the 8F primer during studies of the pink berry consortia . We find the abundance of these clades in the green berries particularly interesting as they include lineages of marine denitrifying bacteria. For example, pelagic Rhizobiales have been linked to denitrification when found in association with macroscopic Trichodesmium sp. aggregates in oxic waters bordering oxygen minimum zones . The cyanobacterial 16S rRNA gene sequences from the green berries grouped into two closely related OTUs , GB-CYN1a and GB-CYN1b, that can be confidently placed in the order Chroococcales . The GB-CYN1 monophyletic cluster formed a clade basal to the UCYNA clade . Using 29 concatenated single-copy phylogenetic marker genes assembled from the metagenome , we reconstructed a phylogenetic tree that placed the GB-CYN1 within a clade including Crocosphaera watsonii and Cyanothece sp. ATCC 51142 as a sister taxa to “Candidatus Atelocyanobacterium thalassa” isolate ALOHA . A phylogenetic tree inferred from nifH gene sequences reveals that the near full-length nifH gene recovered from the GB-CYN1 metagenomic data affiliated with the UCYN-B clade, and was most closely related to Cyanothece sp. 8801/8802 and Crocosphaera watsonii . We conclude that the observed discordance between 16S rRNA, concatenated, and nifH gene phylogenies involving species such as Cyanothece sp. 8801, Gloeothece sp. KO68DGA, and the cyanobacterial endosymbiont of Rhopalodia gibba is most likely due to lateral gene transfer of the nifH gene. Lateral transfer of nifH has been observed in many other species, including mat-forming filamentous cyanobacteria . Volumetric gross photosynthetic rates were calculated by two methods: from depth microprofiles via the sum of net photosynthesis and dark respiration and via the light-dark shift technique performed at a single point in the aggregate center . At both light intensities examined, rates calculated via the light-dark shift method were found to be 4.5 µmol cm−3 hr−1 , lower than those from depth microprofiles. While this difference could arise from biological variability between aggregates, we suspect that the light-dark shift rates measured at the aggregate core were lower than those we might have measured closer to the aggregate surface. Future depth integrated studies of photosynthetic rates will help to clarify this difference and allow better characterization of respiratory activity in the light. Comparing the green berries’ dark respiration and gross photosynthesis to other photosynthetic mats and aggregates, we find them similar to the high rates measured for large , filamentous aggregates of the heterocystous cyanobacterium, Nodularia spumigena from the Baltic Sea . Indeed, our estimates of carbon fixation are close to prediction of 349 ng C per aggregate per hour calculated using Ploug et al.’s regression of volume to gross photosynthesis from a 2009 Nodularia bloom.