New species emergence via recombination among isolates of the Brazilian tomato infecting Begomovirus complex

Partial nucleotide sequences of five tomato infecting Begomovirus isolates were determined from DNA-A fragments, corresponding to the 5' region of the replication associated protein gene, the intergenic region and the 5' region of the coat protein gene. Isolate DFM shared 95% identity with Tomato mottle leaf curl virus (TMoLCV), isolates 34, PA-05, and Ta4 were 88% identical to Tomato yellow vein streak virus and isolate DF-BR3 shared 77% identity with TMoLCV. Recombination analysis indicated that isolate DF-BR3 was a chimaera, and it provided evidence that there is a complex and actively recombining population of tomato infecting begomoviruses in Brazil.

Towards a universal sampling protocol for soil biotas in the humid tropics

This paper reviews the methods for the inventory of below-ground biotas in the humid tropics, to document the (hypothesized) loss of soil biodiversity associated with deforestation and agricultural intensification at forest margins. The biotas were grouped into eight categories, each of which corresponded to a major functional group considered important or essential to soil function. An accurate inventory of soil organisms can assist in ecosystem management and help sustain agricultural production. The advantages and disadvantages of transect-based and grid-based sampling methods are discussed, illustrated by published protocols ranging from the original "TSBF transect", through versions developed for the alternatives to Slash-and-Burn Project (ASB) to the final schemes (with variants) adopted by the Conservation and Sustainable Management of Below-ground Biodiversity Project (CSM-BGBD). Consideration is given to the place and importance of replication in below-ground biological sampling and it is argued that the new sampling protocols are inclusive, i.e. designed to sample all eight biotic groups in the same field exercise; spatially scaled, i.e. provide biodiversity data at site, locality, landscape and regional levels, and link the data to land use and land cover; and statistically robust, as shown by a partial randomization of plot locations for sampling.