Coffee Berry Borer Microbiome
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR776486.fastq.gz | Fastqsanger.gz | |||
| ERR776487.fastq.gz | Fastqsanger.gz | |||
| ERR776488.fastq.gz | Fastqsanger.gz | |||
| ERR776489.fastq.gz | Fastqsanger.gz | |||
| ERR776490.fastq.gz | Fastqsanger.gz |
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Project description:Unanswered key questions in bark beetle-plant interactions concern host finding in species attacking angiosperms in tropical zones and whether management strategies based on chemical signaling used for their conifer-attacking temperate relatives may also be applied in the tropics. We hypothesized that there should be a common link in chemical signaling mediating host location by these Scolytids. Using laboratory behavioral assays and chemical analysis we demonstrate that the yellow-orange exocarp stage of coffee berries, which attracts the coffee berry borer, releases relatively high amounts of volatiles including conophthorin, chalcogran, frontalin and sulcatone that are typically associated with Scolytinae chemical ecology. The green stage of the berry produces a much less complex bouquet containing small amounts of conophthorin but no other compounds known as bark beetle semiochemicals. In behavioral assays, the coffee berry borer was attracted to the spiroacetals conophthorin and chalcogran, but avoided the monoterpenes verbenone and α-pinene, demonstrating that, as in their conifer-attacking relatives in temperate zones, the use of host and non-host volatiles is also critical in host finding by tropical species. We speculate that microorganisms formed a common basis for the establishment of crucial chemical signals comprising inter- and intraspecific communication systems in both temperate- and tropical-occurring bark beetles attacking gymnosperms and angiosperms.
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Project description:Coffee leaf miner is an important plague in coffee crops. Using subtracted cDNA libraries and nylon filter arrays, we analyzed the expression profile of 1536 expressed sequence tags (ESTs) of coffee plants from an hybrid progeny (C. arabica x C. racemosa), containg resistant (R) and susceptible plants (S) to the infestation of coffee leaf miner. Leaf discs were collected from non-infested plants (R control - RC; S control - SC), infested plants after moth oviposition (R oviposition - Ro; S oviposition - So) and infested after larvar eclosion (R eclosion - Re; S eclosion - Se). Isolation and characterization of Coffea genes induced during coffee leaf miner (Leucoptera coffeella) infestation. Plant Science 169(2):351-360 Keywords: ordered
2005-08-15 | GSE2045 | GEO
Project description:The coffee berry borer is the most devastating insect pest of coffee throughout the world. The insect spends most of its life cycle inside the coffee berry, which makes it quite difficult to observe its behaviour. Micro-computed tomography (micro-CT) was used to observe all developmental stages of the coffee berry borer inside coffee berries (Coffea canephora). An interesting oviposition pattern involving a sequential placement of eggs starting in the periphery of the seed and moving inwards was observed. Micro-CT should be useful in elucidating unknown life history aspects of other seed-feeding bark beetles as well as of bark and ambrosia beetles in general.
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Project description:Coffee leaf miner is an important plague in coffee crops. Using subtracted cDNA libraries and nylon filter arrays, we analyzed the expression profile of 1536 expressed sequence tags (ESTs) of coffee plants from an hybrid progeny (C. arabica x C. racemosa), containg resistant (R) and susceptible plants (S) to the infestation of coffee leaf miner. Leaf discs were collected from non-infested plants (R control - RC; S control - SC), infested plants after moth oviposition (R oviposition - Ro; S oviposition - So) and infested after larvar eclosion (R eclosion - Re; S eclosion - Se). Isolation and characterization of Coffea genes induced during coffee leaf miner (Leucoptera coffeella) infestation. Plant Science 169(2):351-360
2010-06-09 | E-GEOD-2045 | biostudies-arrayexpress
Project description:The coffee industry loses millions of dollars annually worldwide due to the Coffee Berry Borer (CBB); these losses imply a decrease in quality and production. Traps are used to monitor their flight and for pest control. The main objective of this study was to determine the capture pattern and trap capture percentages of the CBB population over time using column traps (CTs) in two independent field experiments. CTs were composed of four traps installed at four different heights 0.5, 1.5, 2.5, and 3.5 m above ground. Our results demonstrated a significant difference in CBB capture by traps placed at different heights above the ground. The CT capture maintained a pattern throughout this study's lag: the lower the height, the greater the percentage of CBBs captured. The study was conducted in two independent experiments (A and B). In Experiment A and B, the traps placed at 0.5 m caught 67% and 85% of the CBBs captured, respectively. Furthermore, the trap set at 1.5 m above the ground in the multi-level CT showed a higher capture percentage than the single placed trap (ST, also at 1.5 m about ground). The pattern of the capture and proportion of the CBB in the CTs was maintained throughout the study despite the season, changes in temperature, and relative air humidity. We suggest that CTs could be explored as a useful tool for capturing the CBB, considering its monitoring and management.
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Project description:Coffee, after petroleum, is the most valuable commodity globally in terms of total value (harvest to coffee cup). Here, our bioeconomic analysis considers the multitude of factors that influence coffee production. The system model used in the analysis incorporates realistic field models based on considerable new field data and models for coffee plant growth and development, the coffee/coffee berry borer (CBB) dynamics in response to coffee berry production and the role of the CBB parasitoids and their interactions in control of CBB. Cultural control of CBB by harvesting, cleanup of abscised fruits, and chemical sprays previously considered are reexamined here to include biopesticides for control of CBB such as entomopathogenic fungi (Beauveria bassiana, Metarhizium anisopliae) and entomopathogenic nematodes (Steinernema sp., Heterorhabditis). The bioeconomic analysis estimates the potential of each control tactic singly and in combination for control of CBB. The analysis explains why frequent intensive harvesting of coffee is by far the most effective and economically viable control practice for reducing CBB infestations in Colombia and Brazil.
| S-EPMC7378549 | biostudies-literature
Project description:Exclusion nets are increasingly being used to protect a variety of agricultural crops from insect pests as a sustainable alternative to chemical controls. We examined the efficacy of exclusion nets in controlling the world's most damaging insect pest of coffee, Hypothenemus hampei (coffee berry borer), on two small-scale coffee farms on Hawai'i Island. We recorded microclimate data, fruit infestation, population per fruit, sex ratio, mortality by Beauveria bassiana, coffee yield and quality in four paired exclusion and control (un-netted) plots on both farms. Mean and maximum daily temperature and relative humidity were similar between treatments, while mean and maximum daily solar radiation was reduced by ~50% in exclusion plots. Green and ripe fruit from exclusion plots had significantly lower infestation compared to un-netted control plots at both farms. We observed no significant difference between exclusion and control plots in the number of CBB per fruit or the female:male sex ratio. CBB mortality was significantly higher in control relative to exclusion plots in one of the two farms. Ripe fruits harvested from exclusion plots were on average significantly heavier and wider than those from control plots; however, there was no significant difference in the average yield per tree between treatments. Lastly, coffee quality was not significantly different between control and exclusion plots. Our results suggest that with complete sanitation prior to net installation in an environment where CBB is actively circulating, exclusion netting can successfully control CBB on small-scale coffee farms without reducing coffee yield or quality, and has the potential to lower production and labor costs by eliminating the need to spray pesticides.
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Project description:The coffee berry borer (CBB) Hypothenemus hampei was first described in Africa in 1867 and has spread to all major coffee-producing regions worldwide, including Jamaica. Using long-read sequencing, we produced a new high-quality reference genome (172.7 Mb) for the Jamaican strain of the CBB, with 93% of the genome assembled into 14 scaffolds. Whole genome sequencing of pooled samples from different populations across Jamaica showed that the CBB harbors low levels of genetic diversity alongside an excess of low-frequency alleles, indicative of a recent genetic bottleneck. The analyses also showed a recent surge in the activity of transposable elements (TEs), particularly LINE/R1 and LTR/Gypsy elements, within CBB populations. Our findings offer first insights into the evolutionary genomics of CBB populations in Jamaica, highlighting the potential role of TEs in shaping the genome of this important pest species.
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