Antibiotic and metal resistance genes are closely linked with nitrogen-processing functions in municipal solid waste landfills

Landfilled antibiotics and metals were related to the occurrences of their resistance genes, whose decade-long development in leachates with the dynamic landfilling environmental conditions, especially with the varying nitrogen contents, has yet to be studied. Here, we sampled leachates from five representative municipal solid waste landfills in China. The total concentrations of antibiotics (5000 - 50000 ng/L) and metals (10 - 60 mg/L) in leachates were significantly different among different sites and they were only closely related to sulfonamide and tetracycline resistance genes (P < 0.05). Regarding the abundance of subtype resistance genes, sul1 and ermB were dominant antibiotic resistance genes (ARGs) and terc, arsc, and mer were dominant heavy metal resistance genes (HMRGs); and meanwhile the observed huge variations of these genes appeared to be related to environmental factors like nitrate and pH (P < 0.05). The GeoChip results further indicated that more than 85% of sequenced ARGs/HMRGs and nitrogen processing genes, particularly of the denitrification genes, were hosted by the same bacterial species, such as Pseudomonas sp. and Bacillus sp., which belonged to the predominant phylum in leachates. These results extended our knowledge about the linkages among ARGs, HMRGs and nitrogen-processing functions in leachates.

Candidate genes and genome-wide association study of grain protein content and protein deviation in durum wheat

Stable QTL for grain protein content co-migrating with nitrogen-related genes have been identified by the candidate genes and genome-wide association mapping approaches useful for marker-assisted selection. Grain protein content (GPC) is one of the most important quality traits in wheat, defining the nutritional and end-use properties and rheological characteristics. Over the years, a number of breeding programs have been developed aimed to improving GPC, most of them having been prevented by the negative correlation with grain yield. To overcome this issue, a collection of durum wheat germplasm was evaluated for both GPC and grain protein deviation (GPD) in seven field trials. Fourteen candidate genes involved in several processes related to nitrogen metabolism were precisely located on two high-density consensus maps of common and durum wheat, and six of them were found to be highly associated with both traits. The wheat collection was genotyped using the 90 K iSelect array, and 11 stable quantitative trait loci (QTL) for GPC were detected in at least three environments and the mean across environments by the genome-wide association mapping. Interestingly, seven QTL were co-migrating with N-related candidate genes. Four QTL were found to be significantly associated to increases of GPD, indicating that selecting for GPC could not affect final grain yield per spike. The combined approaches of candidate genes and genome-wide association mapping led to a better understanding of the genetic relationships between grain storage proteins and grain yield per spike, and provided useful information for marker-assisted selection programs.