Transferability and characterization of microsatellite markers from Byrsonima cydoniifolia A. Juss. (MALPIGHIACEAE) in seven related taxa from Cerrado biome reveal genetic relationships

Byrsonima Rich. is one of the largest genera of the Malpighiaceae family with 97 species occurrence in Brazil and multiple potentialities, including pharmaceutical and food industries. In this study, 17 microsatellite markers characterized in Byrsonima cydoniifolia were tested for seven related taxa, all species are native to Brazil and four are endemic. Genomic DNA was extracted from leaves tissues and 17 microsatellite markers were used to cross-amplification of microsatellite regions. Polymorphism and genetic diversity were evaluated for B. intermedia, B. verbascifolia, B. laxiflora, B. subterranea, B. umbellata, B. linearifolia. from 16 individuals and for B. viminifolia from 14 individuals. Transferred microsatellite markers panels ranged from 11 (64.8%) in B. viminifolia to 6 (35.2%) in B. umbellata. The total number of alleles per locus ranged from 5 (B. linearifolia) to 8 (B. subterranea) alleles. B. umbellata showed lower values of observed and expected heterozygosity (H_O?=?0.312; H_E?=?0.436) and B. subterranea presented the highest values (H_O?=?0.687; H_E?=?0.778). A greater number of microsatellite markers should be developed for B. umbellata. The microsatellite marker panels transferred to the species B. intermedia, B. verbascifolia, B. laxiflora, B. subterranea, B. viminifolia and B. linearifolia are very informative, with a high combined probability of exclusion of paternity (Q?≥?0.976) and the low combined probability of identity (I?≤?9.91?×?10^–6), potentially suitable for future genetic-population studies, supporting strategies for maintaining the genetic diversity and for exploration of Byrsonima species as genetic resources.

     

lca_algebraic: a library bringing symbolic calculus to LCA for comprehensive sensitivity analysis

The International Journal of Life Cycle Assessment - In this paper, we present new tools to ease the analysis of the effect of variability and uncertainty on life cycle assessment (LCA) results....     

Developing of a model to predict lying behavior of dairy cows on silvopastoral system during the winter season

International Journal of Biometeorology - Lying behavior is an important indicator of the cows’ welfare and health. In this study, we evaluate the effect of the physical environment on dairy...     

Abiotic factors driving cyanobacterial biomass and composition under perennial bloom conditions in tropical latitudes

Hydrobiologia - While warming and eutrophication have increased the frequency and magnitude of harmful cyanobacterial blooms globally, the scenario for many eutrophic tropical freshwaters is a...     

Impacts of inter-basin water transfer on the water quality of receiving reservoirs in a tropical semi-arid region

Inter-basin water transfer (IBWT) involves the transport of water from one geographically distinct basin to another to balance the distribution of water resources. Although the socio-economic benefits of implementing these projects are well recognized, little is known about the subsequent effects on the water quality of the receiving systems. We evaluated the effects of an IBWT on the water quality of three receiving reservoirs of an intermittent river in a semi-arid region. We compared the similarity among the reservoirs before and after the IBWT to assess how the reservoirs responded to the introduction of water. Although the last two reservoirs that have received water have become similar in terms of physical and chemical characteristics and algal biomass (chlorophyll-a), the first reservoir has not. The IBWT resulted in an improvement in the water quality of the first reservoir but a decrease in the water quality of the two successive reservoirs, along with a significant increase in algal biomass. Long river sections located upstream that were dry at the time of IBWT probably contributed nutrients to the water as it moved downstream and into the reservoirs. Significant differences in the water quality were observed for different sampling months after the IBWT, but not for different sampling depths. Before the IBWT, the predictor variables for algal biomass were basically transparency and non-algal turbidity, with which it established a positive relationship. After IBWT, however, algal biomass also showed a positive relationship with pH and temperature. We conclude that IBWT affects the water quality of receiving reservoirs and that the responses are reservoir specific. IBWT also increases the complexity of the correlations of physical and chemical variables with algal biomass.