maybe there it is now – more time to read. To make sure to provide enough reading stuff, we would like to draw your attention to two very exciting publications on the topic of DNA barcoding:
Inger Alsos et. al promote Genome Skimming as a method that, in addition to freshly collected plant material, also makes the valuable treasures in the herbaria for DNA barcoding and other genomic analyzes accessible. The success rates for herbarium material were very high for most plant families – the three DNA barcoding markers (ITS2, matK and rbcL) could be obtained in more than 1000 genera from 160 families. The authors recommend Genome Skimming of herbarium material as an efficient and relatively inexpensive method for creating DNA barcodes and genomic studies.
Citation: Alsos, I.G., Lavergne, S., Merkel, M.K.F., Boleda, M., Lammers, Y., Alberti, A., Pouchon, C., Denoeud, F., Pitelkova, I., Pușcaș, M., Roquet, C., Hurdu, B.-I., Thuiller, W., Zimmermann, N.E., Hollingsworth, P.M., Coissac, E. The Treasure Vault Can be Opened: The Treasure Vault Can be Opened: Large-Scale Genome Skimming Works Well Using Herbarium and Silica Gel Dried Material. Plants 2020, 9, 432.
The second publication emphasizes the need for standardized quantitative and qualitative insect monitoring in order to be able to recognize changes in the insect fauna in terms of abundance, species numbers and species composition. The authors around Axel Hausmann carried out comparative studies of the insect fauna in southern Germany in organic and conventional farmland using Malaise traps and light traps. Not only the species composition was recorded using DNA metabarcoding, but also the biomass and certain biological traits. Expectedly, for butterflies higher species numbers and biomass as well as higher numbers of red list species were detected in organic farmland compared with conventionally treated agricultural areas. The methodology presented here represents a time and cost efficient standardizable approach to insect monitoring.
Toward a standardized quantitative and qualitative insect monitoring scheme. Ecol Evol. 2020; 00: 1–12., , , Knubben, J., Moriniére, J., Bozicevic, V., Doczkal, D., Günter, A., Ulrich, W., Habel, J.C.