A review on recent taxonomic updates of gut bacteria associated with social bees, with a curated genomic reference database.

Honeybees and bumblebees play a crucial role as essential pollinators. The special gut microbiome of social bees is a key factor in determining the overall fitness and health of the host. Although bees harbor relatively simple microbial communities at the genus level, recent studies have unveiled significant genetic divergence and variations in gene content within each bacterial genus. However, a comprehensive and refined genomics-based taxonomic database specific to social bee gut microbiomes remains lacking. Here, we first provided an overview of the current knowledge on the distribution and function of social bee gut bacteria, as well as the factors that influence the gut population dynamics. We then consolidated all available genomes of the gut bacteria of social bees and refined the species-level taxonomy, by constructing a maximum-likelihood core genome phylogeny and calculating genome-wide pairwise average nucleotide identity. On the basis of the refined species taxonomy, we constructed a curated genomic reference database, named the bee gut microbe genome sequence database (BGM-GDb). To evaluate the species-profiling performance of the curated BGM-GDb, we retrieved a series of bee gut metagenomic data and inferred the species-level composition using metagenomic intra-species diversity analysis system (MIDAS), and then compared the results with those obtained from a prebuilt MIDAS database. We found that compared with the default database, the BGM-GDb excelled in aligned read counts and bacterial richness. Overall, this high-resolution and precise genomic reference database will facilitate research in understanding the gut community structure of social bees.

Two insulin receptors coordinate oogenesis and oviposition via two pathways in the green lacewing, Chrysopa pallens.

Insulin signalling in insects, as in mammals, regulates various physiological functions, such as reproduction. However, the molecular mechanism by which insulin signals orchestrate ovarian stem cell proliferation, vitellogenesis, and oviposition remains elusive. Here, we investigate the functions of the phosphoinositide 3-kinase (PI3K)-serine/threonine kinase (Akt) pathway, GTPase Ras/mitogen-activated protein kinase (MAPK) pathway, and their downstream messengers in a natural predator, Chrysopa pallens, by the RNAi method. When C. pallens vitellogenin gene 1 (CpVg1) expression was knocked down, the follicle maturation was arrested and total fecundity was reduced. Silencing C. pallens insulin receptor 1 (CpInR1) suppressed Vg transcription and reduced egg mass and hatching rate. Depletion of C. pallens insulin receptor 2 (CpInR2) transcripts lowered Vg transcript level, hampered ovarian development and decreased reproductive output. Knockdown of C. pallens Akt (CpAkt) and C. pallens extracellular-signal-regulated kinase (Cperk) caused phenotypes similar to those caused by knockdown of CpInR2. Disruption of C. pallens transcription factor forkhead box O (CpFoxO) expression caused no significant effects on ovarian development, but sharply impaired total fecundity. Interference with the expression of C. pallens target of rapamycin (CpTor) gene and C. pallens cAMP-response element binding protein (CpCreb) gene led to a down-regulation of Vg transcription, blocking of ovariole growth, and decrease in egg quality. These results suggested the two CpInRs orchestrate oogenesis and oviposition via two signalling pathways to guarantee natural reproduction in the green lacewing, C. pallens.

Division of labor in honey bee gut microbiota for plant polysaccharide digestion.

Bees acquire carbohydrates from nectar and lipids; and amino acids from pollen, which also contains polysaccharides including cellulose, hemicellulose, and pectin. These potential energy sources could be degraded and fermented through microbial enzymatic activity, resulting in short chain fatty acids available to hosts. However, the contributions of individual microbiota members to polysaccharide digestion have remained unclear. Through analysis of bacterial isolate genomes and a metagenome of the honey bee gut microbiota, we identify that Bifidobacterium and Gilliamella are the principal degraders of hemicellulose and pectin. Both Bifidobacterium and Gilliamella show extensive strain-level diversity in gene repertoires linked to polysaccharide digestion. Strains from honey bees possess more such genes than strains from bumble bees. In Bifidobacterium, genes encoding carbohydrate-active enzymes are colocated within loci devoted to polysaccharide utilization, as in Bacteroides from the human gut. Carbohydrate-active enzyme-encoding gene expressions are up-regulated in response to particular hemicelluloses both in vitro and in vivo. Metabolomic analyses document that bees experimentally colonized by different strains generate distinctive gut metabolomic profiles, with enrichment for specific monosaccharides, corresponding to predictions from genomic data. The other 3 core gut species clusters (Snodgrassella and 2 Lactobacillus clusters) possess few or no genes for polysaccharide digestion. Together, these findings indicate that strain composition within individual hosts determines the metabolic capabilities and potentially affects host nutrition. Furthermore, the niche specialization revealed by our study may promote overall community stability in the gut microbiomes of bees.

Nutritional and reproductive signaling revealed by comparative gene expression analysis in Chrysopa pallens (Rambur) at different nutritional statuses.

BACKGROUND: The green lacewing, Chrysopa pallens Rambur, is one of the most important natural predators because of its extensive spectrum of prey and wide distribution. However, what we know about the nutritional and reproductive physiology of this species is very scarce. RESULTS: By cDNA amplification and Illumina short-read sequencing, we analyzed transcriptomes of C. pallens female adult under starved and fed conditions. In total, 71236 unigenes were obtained with an average length of 833 bp. Four vitellogenins, three insulin-like peptides and two insulin receptors were annotated. Comparison of gene expression profiles suggested that totally 1501 genes were differentially expressed between the two nutritional statuses. KEGG orthology classification showed that these differentially expression genes (DEGs) were mapped to 241 pathways. In turn, the top 4 are ribosome, protein processing in endoplasmic reticulum, biosynthesis of amino acids and carbon metabolism, indicating a distinct difference in nutritional and reproductive signaling between the two feeding conditions. CONCLUSIONS: Our study yielded large-scale molecular information relevant to C. pallens nutritional and reproductive signaling, which will contribute to mass rearing and commercial use of this predaceous insect species.