Olive tree represents a new host of a subgroup 16SrVII-B phytoplasma associated with witches' broom disease in Brazil.

Olive trees exhibiting slow development, yellowing, and high intensity of shoot proliferation with small leaves were observed in commercial plantings, in the municipality of Extrema, Minas Gerais (MG) state in 2015. The incidence of symptomatic plants was about 70% and diseased trees presented yield reduction. Here we report the association of symptomatic olive trees with a phytoplasma and describe its molecular identification. Symptomatic plants (38 trees) were sampled in three growing areas located in the same municipality. The samples consisted of bunch of leaves and young shoots. The total DNA was extracted using DNeasy® Plant Mini Kit (Qiagen, Hilden, Germany). Phytoplasma detection was conducted by nested PCR with primers P1/16S-SR (Lee et al. 2004) followed by R16F2n/R16R2 (Gundersen and Lee 1996). PCR assays generated amplicons (~1.2 kb) from 28 trees out of 38 symptomatic plants, confirming the association of phytoplasma with diseased plants. The disease was named olive witches' broom. The genomic fragments amplified by nested PCR were cloned into Escherichia coli DH5α and sequenced. The sequence representative of the olive phytoplasma was designated OWB-Br01 (Olive Wiches' Broom-Brazil 01) and deposited in GenBank under accession number MH141985. This sequence shared 99% sequence identity with phytoplasmas affiliated with 16SrVII group. According to the iPhyClassifier online tool (Zhao et al. 2009) the olive witches'-broom phytoplasma was classified as a variant of subgroup 16SrVII-B with a pattern similarity coefficient of 0.99. The phylogenetic tree showed that OWB-Br01 phytoplasma emerges from the same branch of the reference phytoplasma of the 16SrVII-B subgroup (Erigeron witchesá¾½-broom phytoplasma - GenBank AY034608), indicating that the olive tree phytoplasma is a member of the 16SrVII-B subgroup. The pathogenicity test was performed with 28 healthy plants (cultivar Arbequina) grown in pots, which were grafted by simple english forklift with scions obtained from olive plants (Arbequina) six years old, naturally infected by the phytoplasma. The initial symptoms were observed four months after grafting and at eight months 22 grafted plants exhibited slow growth, yellowing, and small leaves as those naturally observed in the fields. Molecular characterization allowed identify the phytoplasma as a member of the 16SrVII-B subgroup. In Brazil, representatives of the 16SrVII group were previously reported in association with diverse botanical species. Thus, a strain of 16SrVII-C subgroup was identified in sunn hemp (Flôres et al. 2013); the reference phytoplasma of 16SrVII-D subgroup was found in erigeron plants (Flôres et al. 2015); and the representative of 16SrVII-F was detected in the wild species Vernonia brasiliana. (Fugita et al. 2017). Specifically regarding subgroup 16SrVII-B, the reference phytoplasma of this subgroup was described from erigeron and periwinkle (Barros et al. 2002), while other members of this subgroup were reported in cauliflower (Pereira et al. 2016a) and ming aralia (Pereira et al. 2016b). The disease here studied is a threat since olive planting is in large expansion in Brazil. A potential control option could be use of propagative material from sources free of the pathogen. Based on our findings, olive tree represents a new host for subgroup 16SrVII-B phytoplasma, which is different from 16Sr groups previously reported as associated with olive witches' broom in other countries.

Delineation of a novel subgroup 16SrXIII-J phytoplasma, a 'Candidatus Phytoplasma hispanicum'-related strain, based on computer-simulated RFLP and phylogenetic analysis.

Symptoms of fruit phyllody and slow growth, which are suggestive of phytoplasma infection, were observed in strawberry plants cultivated in commercial fields. In order to provide evidence of association of phytoplasma with affected plants, assays for detecting and identifying were performed through computer-simulated restriction fragment length polymorphism (RFLP) and phylogenetic analysis. Total DNA was extracted from symptomatic and asymptomatic samples and used as template in nested PCR primed by the primers P1/Tint followed by R16F2n/16R2. Amplified DNA fragments of 1.2 kb from the 16S rRNA gene revealed the presence of phytoplasma in all symptomatic samples. Molecular detection was confirmed by electron transmission microscopy, which evidenced pleomorphic bodies in the phloem vessels. Nucleotide sequence representative of the strawberry phytoplasma shared 97.2 to 99 % similarity with phytoplasmas currently classified as members of the distinct subgroups within the 16SrXIII group. Similarity coefficient (F) values ranged from 0.70 to 0.92, indicating that strawberry phytoplasma delineates a new strain in addition to 'Candidatus Phytoplasma hispanicum'-related strains. The evolutionary tree displayed that this strain emerges as a new branch in relation to those previously described. The novel strain, designated SFP (strawberry fruit phyllody) phytoplasma represents the new 16SrXIII-J subgroup and its sequence, denominated SFP-Br02, was deposited in the GenBank database (EU719108). These findings contribute for the knowledge of the genetic diversity existing among members of the group 16SrXIII and establishes strawberry as an additional host of representatives of this group in Brazil.

Analysis of hydraulic losses in the series from 1990 to 2022 at the Retiro small hydroelectric power plant.

Hydraulic losses are a crucial variable in hydroelectric ventures as they can cause significant reductions in power generation. This article analyses the impact of hydraulic losses on the Retiro Small Hydroelectric Power Plant (SHPP), investigating their effect on monthly average power and, consequently, the efficiency of electricity generation. This study examines the historical series of load losses at the Retiro SHPP from 1990 to 2022. The calculations are based on flow data available in HidroWeb. The study considered the maximum and minimum flow rates in the historical flow series as constraints for hydropower generation. We used a multivariable function to calculate the efficiency of the hydraulic turbine, relating the turbine flow rate and the net water head. We developed mathematical relationships for head losses that occur in the grid, at the water intake, and due to friction from the intake to the turbine of the Retiro SHPP. The article presents a comparison between the actual monthly average power of the Small Hydroelectric Power Plant (SHPP) and the simulated monthly average power. We normalized the data for turbine flow and load loss to conduct statistical analysis. Kernel probability density was applied to understand the distribution shape of the data. Findings show that average monthly capacity is lowest in September, at approximately 0.81 MW. In March, the highest power occurs, approximately 14.19 MW. During the high flow period, the simulated average power, which accounts for load losses, closely matched the actual average power generated at the Retiro SHPP. In the months from July to October, despite being the period with the lowest head losses, it is the time when there is a greater opportunity to maximize energy generation at the power plant. An inefficient power generation system experiences significant load losses during specific periods of the year. To minimize this effect, it is crucial to understand the behavior of hydraulic losses and consider implementing mitigating measures.