Gut microbiota has become an integral component of the host, and received increasing attention. However, for many domestic animals, information on the microbiota is insufficient and more effort should be exerted to manage the gastrointestinal bacterial community. Understanding the factors that influence the composition of microbial community in the host alimentary canal is essential to manage or improve the microbial community composition. In the present study, 16S rRNA gene sequence-based comparisons of the bacterial communities in the grass carp (Ctenopharyngodon idellus) intestinal contents and fish culture-associated environments are performed. The results show that the fish intestinal microbiota harbors many cellulose-decomposing bacteria, including sequences related to Anoxybacillus, Leuconostoc, Clostridium, Actinomyces, and Citrobacter. The most abundant bacterial operational taxonomic units (OTUs) in the grass carp intestinal content are those related to feed digestion. In addition, the potential pathogens and probiotics are important members of the intestinal microbiota. Further analyses show that grass carp intestine holds a core microbiota composed of Proteobacteria, Firmicutes, and Actinobacteria. The comparison analyses reveal that the bacterial community in the intestinal contents is most similar to those from the culture water and sediment. However, feed also plays significant influence on the composition of gut microbiota.

A series of peapod‐like composites with component‐controllable Co(SxSe1−x)2 nanoparticles encapsulated in porous carbon fibers is fabricated by Yu Wang and co‐workers in article number https://doi.org/10.1002/adfm.201701008. The peapod‐like structure exhibits increased exposure of active sites and improved charge and mass transport capability in electrolysis. The optimized composition Co(S0.71Se0.29)2∥Co(S0.22Se0.78)2 demonstrates a durable catalytic activity for overall water splitting.

Gut microbiota plays a crucial importance in their host. Disturbance of the microbial structure and function is known to be associated with inflammatory intestinal disorders. Enteritis is a significant cause of high mortality in fish species, including grass carp (Ctenopharyngodon idellus). Study regarding the association between microbial alternations and enteritis in grass carp is still absent. In this study, changes in the gut microbiota of grass carp suffering from enteritis were investigated using NGS-based 16S rRNA sequencing. Six healthy and ten abnormal fish (showing reddening anus, red odiferous fluid accumulating in the abdominal capacity, and flatulence and haemorrhage in the intestine) were collected from a fish farm in Huanggang Fisheries Institute (Hubei, China). Our results revealed that the diversity, structure, and function of gut microbiota were significantly different between diseased and healthy fish (P < 0.05). Particularly, members of the genera Dechloromonas, Methylocaldum, Planctomyces, Rhodobacter, Caulobacter, Flavobacterium, and Pseudomonas were significantly increased in diseased fish compared with that in healthy fish (P < 0.05). Predicted function indicated that microbiota significantly changed the specific metabolic pathways (related to amino acid metabolism, xenobiotics biodegradation and metabolism, and carbohydrate metabolism) in diseased fish (P < 0.05). Taken together, our findings point out the association between changes of the gut microbiota and enteritis in grass carp, which provide basic information useful for diagnoses, prevention, and treatment of intestinal diseases occurring in cultured fish.

The phylogeny of Isopoda, a speciose order of crustaceans, remains unresolved, with different data sets (morphological, nuclear, mitochondrial) often producing starkly incongruent phylogenetic hypotheses. We hypothesized that extreme diversity in their life histories might be causing compositional heterogeneity/heterotachy in their mitochondrial genomes, and compromising the phylogenetic reconstruction. We tested the effects of different data sets (mitochondrial, nuclear, nucleotides, amino acids, concatenated genes, individual genes, gene orders), phylogenetic algorithms (assuming data homogeneity, heterogeneity, and heterotachy), and partitioning; and found that almost all of them produced unique topologies. As we also found that mitogenomes of Asellota and two Cymothoida families (Cymothoidae and Corallanidae) possess inversed base (GC) skew patterns in comparison to other isopods, we concluded that inverted skews cause long-branch attraction phylogenetic artifacts between these taxa. These asymmetrical skews are most likely driven by multiple independent inversions of origin of replication (i.e., nonadaptive mutational pressures). Although the PhyloBayes CAT-GTR algorithm managed to attenuate some of these artifacts (and outperform partitioning), mitochondrial data have limited applicability for reconstructing the phylogeny of Isopoda. Regardless of this, our analyses allowed us to propose solutions to some unresolved phylogenetic debates, and support Asellota are the most likely candidate for the basal isopod branch. As our findings show that architectural rearrangements might produce major compositional biases even on relatively short evolutionary timescales, the implications are that proving the suitability of data via composition skew analyses should be a prerequisite for every study that aims to use mitochondrial data for phylogenetic reconstruction, even among closely related taxa.