The document discusses research on the Neotropical Entiminae weevil subfamily, including a molecular phylogeny that showed the Exophthalmus genus complex is polyphyletic. Historical biogeography analysis found Caribbean island ancestry with jump dispersal between islands accounting for 25% of range evolution. Molecular profiling of gut contents identified host plant associations and multiple bacterial symbionts across weevil specimens using next-generation sequencing.
Presentation 2.5 Ecology, virulence factors and global spread of pathogenic V...ExternalEvents
http://www.fao.org/documents/card/en/c/28b6bd62-5433-4fad-b5a1-8ac61eb671b1/
FAO Second International Technical Seminar/Workshop on Acute hepatopancreatic necrosis disease (AHPND) There is a way forward! FAO Technical Cooperation Programme: TCP/INT/3501 and TCP/INT/3502.
A complete set of chromosomes/genes inherited as a unit from one parent called genome. The entire genetic complement of a living organism.
The total amount of genetic information in the chromosomes of an organism, including its genes and DNA sequences. The genome of eukaryotes is made up of a single, haploid set of chromosomes that is contained in the nucleus of every cell and exists in two copies in the chromosomes of all cells except reproductive and red blood cells. The human genome is made up of about 35,000 genes.
Tabulador agua potable y alcantarillado 2013 por regionesgetzahel gonzalez
para la verificacion de agua potable sus precios unitarios, por region de la zona de chiapas. esperado que le sirva de gran ayuda mas despues subire el catalogo de regiones de las localidades en las que se encuentran. gracias
Presentation 2.5 Ecology, virulence factors and global spread of pathogenic V...ExternalEvents
http://www.fao.org/documents/card/en/c/28b6bd62-5433-4fad-b5a1-8ac61eb671b1/
FAO Second International Technical Seminar/Workshop on Acute hepatopancreatic necrosis disease (AHPND) There is a way forward! FAO Technical Cooperation Programme: TCP/INT/3501 and TCP/INT/3502.
A complete set of chromosomes/genes inherited as a unit from one parent called genome. The entire genetic complement of a living organism.
The total amount of genetic information in the chromosomes of an organism, including its genes and DNA sequences. The genome of eukaryotes is made up of a single, haploid set of chromosomes that is contained in the nucleus of every cell and exists in two copies in the chromosomes of all cells except reproductive and red blood cells. The human genome is made up of about 35,000 genes.
Tabulador agua potable y alcantarillado 2013 por regionesgetzahel gonzalez
para la verificacion de agua potable sus precios unitarios, por region de la zona de chiapas. esperado que le sirva de gran ayuda mas despues subire el catalogo de regiones de las localidades en las que se encuentran. gracias
Palaerarctic region.the zoogeographical separation and distribution of animal...Anand P P
zoogeography mean that simply state that distribution of animals on the basics of geography.several zoogeography area present.palaearctic region have a special type of organisms distribution
Bacterial leaf spot (BLS) is a disease of tomato, chilli and capsicum caused by four species of Xanthomonas. BLS can cause severe crop damage and is a limiting factor of production across the world.
Metagenomics as a tool for biodiversity and healthAlberto Dávila
A talk on the applications of metagenomics for the study of biodiversity and health, presented during the inaugural symposium of the Peruvian Society of Biochemistry and Molecular Biology. Lima, March 2018
This presentation contains basic information about the mouse being used as a model organism, its genome, how the genome of the mouse was sequenced and a comparison between mouse genome and human genome.
De-centralized but global: Redesigning biodiversity data aggregation for impr...taxonbytes
Biodiversity data pose fundamental challenges for unification-based paradigms of data science. In particular, a hierarchical, backbone-driven approach to aggregating global biodiversity data tends to limit community engagement. Data quality, trust, fitness for use, and impact are similarly reduced. This presentation will outline an alternative, de-centralized design for aggregating biodiversity data globally. The design requires a coordinative approach to representing and reconciling evolving systematic perspectives, and further social but technologically mediated coordination between regionally and taxonomically constrained "communities of practice" (sensu Wenger, 2000, https://doi.org/10.1177/135050840072002). Important next steps in this direction include the development of use cases that quantify the benefits of a de-centralized biodiversity data aggregation - in terms of lowering costs to expert engagement, raising efficiency of curation, validating novel integration services, and improving reproducibility and provenance tracking across heterogenous data structures and portals.
Anzaldo franz 2017 ecn your daily weeviltaxonbytes
Slides of the presentation "#YourDailyWeevil - a story of modest but gratifying social media success", given at the 2017 Annual Meeting of the Entomological Collections Network, November 05, 2017, Denver, Colorado.
Franz 2017 uiuc cirss non unitary syntheses of systematic knowledgetaxonbytes
Invited Presentation given at the University of Illinois Urbana Champaign iSchool, Center for Informatics Research in Science and Scholarship, CIRSS Seminar, Friday, February 17, 2017.
Franz et al tdwg 2016 new developments for libraries of lifetaxonbytes
Franz et al. @ #TDWG16 - "New developments for the Libraries of Life project and app". Talk # 1138, Friday, December 09, 2016, 02:45 pm. Session Lightning Talks. See https://mbgserv18.mobot.org/ocs/index.php/tdwg/tdwg2016/schedConf/program
Franz et al tdwg 2016 introducing lep nettaxonbytes
Franz et al. @ #TDWG16 - "Introducing LepNet – the Lepidoptera of North America Network". Talk # 1139, Friday, December 09, 2016, 02:40 pm. Session Lightning Talks. See https://mbgserv18.mobot.org/ocs/index.php/tdwg/tdwg2016/schedConf/program
Franz sterner tdwg 2016 new power balance needed for trustworthy biodiversity...taxonbytes
View a video recording here: https://vimeo.com/195024485
Franz & Sterner @ #TDWG16 - "A new power balance is needed for trustworthy biodiversity data". Talk # 1134, Friday, December 09, 2016, 11:30 am. Session Contributed Papers 05: Data Gaps, Trust, Knowledge Acquisition. See https://mbgserv18.mobot.org/ocs/index.php/tdwg/tdwg2016/schedConf/program
Franz et al ice 2016 addressing the name meaning drift challenge in open ende...taxonbytes
Presentation for the Symposium: Building the Biodiversity Knowledge Graph for Insects – Components, Progress, and Challenges; 2016 XXV International Congress of Entomology, Orlando, FL – September 26, 2016 (#ICE2016). See https://esa.confex.com/esa/ice2016/meetingapp.cgi/Session/24482
Zhang et al ecn 2016 building an accessible weevil tissue collection for geno...taxonbytes
Poster describing the origin and function of the ASUHIC Weevil Tissue Collection (WTC), see tinyurl.com/weeviltissuecollection; presented at the 2016 Entomological Collections Network Meeting, September 23, 2016, Orlando, Florida. ECN website: http://ecnweb.org/
Franz et al evol 2016 aligning multipe incongruent phylogenies with the euler...taxonbytes
Lightning talk at iEvoBio 2016 (http://www.ievobio.org/), given on June 21, 2016, at Evolution Meetings in Austin, Texas. Brief overview of using Euler/X to align phylogenies. See https://github.com/EulerProject
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
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In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
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Richard's aventures in two entangled wonderlandsRichard Gill
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Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
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Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...
Franz Zhang et al Weevil Workshop 2016 Neotropical Entiminae Systematics evolution and beyond
1. Neotropical Entiminae – Systematics,
evolution and beyond
Guanyang Zhang, Nico Franz, et. al. Arizona State University
Biodiversity Knowledge Integration Center
Hasbrouck Insect Collection
School of Life Sciences
2016 International Weevil Meeting
Oct 01, 2016
3. June, 2013 Cuba
Dr. Robert (Bob) Anderson
(Canadian Museum of
Nature)
Franklyn Cala Riquelme,
Albert Deler Hernandez
(Cuban
arachnologist/coleopterist)
10. Molecular phylogeny of EGC
65 EGC species
6 genes, 4747 bp
Bayesian phylogeny
65 EGC species
6 genes, 4747 bp
Bayesian phylogeny
See poster at back of room
17. What is the history of the geographic range
evolution that has shaped the current
distributions of Caribbean weevils?
Historical biogeography of EGC
18. Historical biogeography of EGC
Cuba
Jamaica
Jump dispersal
BioGeoBEARS
Dated molecular phylogeny
Current distribution ranges
Statistical method of inference of
range evolution
Hispaniola
19. Historical biogeography of EGC
Caribbean island ancestor
dispersed to Central America
Jump dispersal between islands
accounted for 25% ancestral
range evolution events; within-
island (area) diversification 75%
Caribbean
Central
America
26. Bacterial symbionts in weevils
https://www.focusforhealth.org/human-microbiome-chronic-illness/
27. “Nowhere else aside from the
cicadas do so many symbiotic
sites exist as in this insect family
[Curculionoidea]
- P. Buchner (1965, p.
160)
Why study bacterial symbionts
in weevils?
28. Known bacterial symbionts in
weevils based on DNA sequences
Symbiont
Weevil-
specific
Functions in weevils
Nardonella Yes Growth & development [?]
Curculioniphilus Yes ?
Klebsiella No Nitrogen fixation
Rickettsia No ?
Serratia No ?
Sodalis No
Nutrient provision, cuticular synthesis
(?)
Spiroplasma No ?
Wolbachia No Oocyte production [?]
29. Limited taxonomic sampling in
previous studies
Bacteria sequenced?
Curculionoidea
- Six non-curculionid weevil
families not sampled
- Diversity within
Curculionidae (true
weevils) poor represented
- 7/25 subfamilies of
Curculionidae sampled
30. Objective: Survey and identify bacterial
symbionts across weevils using next
generation sequencing (NGS)
31. Specimen & taxonomic sampling
246 weevil and other beetle specimens dissected and
total gut content used for DNA extraction
124 with usable PCR amplicons (115 weevils, 9 other beetles)
4 families and 17 subfamilies (1 and 7 previously)
Curculionoidea
32. - Gut content subjected to bead-beating & DNA
extracted with Qiagen DNeasy Blood & Tissue kit
- 16S V3-V5 region amplified with primer pair F515-
R909 (394 bp)
- Primers barcoded to allow for multiplexing/pooling
- PCR products purified, normalized and pooled
- Library prepared and sequenced with NGS platform
Illumina MiSeq (paired-end)
Molecular experiments
33. Bacterial OTUs across samples
Each column represents a sample
Each color represents a genus-level OTU
Size of bar indicates relative abundance (% of sequences in a
sample)
11,396,976 seqs
947 OTUs
4,619-459,088 reads/sample
Median = 65,615
34. OTU/distance method failed to
identify 44.5% sequences
Each column represents a sample
Each color represents a genus-level OTU
Size of bar indicates relative abundance (% of sequences in a
sample)
assigned only to
Enterobacteriaceae
not assigned to any
taxonomic groups
Wolbachia
Sodalis
Rickettsia
Symbionts
44.5% sequences not
assigned to a genus
35. Why did OTU/distance method fail?
Genetic distance (%)
Frequency Nardonella sequences show >3% genetic distances
49. Acknowledgements
Undergraduate student mentees/collaborators
Boris Dimov, Julina Jones Natalia Rahman, Mary Walsh, Zhen Geng, Joe
Hunter, Pan Lin, Bukola Obayomi, Pavithra Paravastu, Juyan Pourturk, Will
Sides, Sara Tanveer, Richard Thompson, Don Tram, Usmaan, Basharat,
Daniel Vargas
Lin Pan,
weevil taxonomy
Juyan Pourturk,
DNA extraction, PCR,
molecular cloning
Will Sides,
specimen imaging
Sara Tanveer,
PCR, sequencing
50. NSF CAREER # 1155984 (to N. Franz)
USDA (US Department of Agriculture) Agreement No. 58-1275-1-335 (to
N. Franz)
ASU School of Life Sciences (Postdoctoral Collaborative Grant)
ESA STEP (Students in Transition, Early-career Professional) award
Acknowledgements
52. Discussion
Specimen/DNA vouchering and access
Legacy for future generations
Best practices
What is really meant by “taxon sampling”
“Taxon” versus “taxonmic names” (concept labels)
Higher-level “taxonomic names” may or may not be
monophyletic
Whose taxon concept
Data publication/sharing – open, collaborative,
realtime, quantum-volume
Editor's Notes
Alright. That wraps up the Zelus monography. By working on assassin bugs, I gained well-rounded training in the theories and methods of taxonomy, systematics, and collection-based research. Reduviids will continue to fascinate and inspire me and they fit really well with curiosity-driven systematics research. However, I was acutely aware that their economic relevance is relatively limited compared to some other insects. When I was just finishing my PhD, I identified and secured a postdoctoral position to work on weevils. In the following part of my current research, I will share with you some of my latest research that expanded not only my taxonomic expertise, but also my conceptual and methodological arena.
To reconstruct this biogeographic history, I will need three things. a phylogeny, which I already had, but now it is
dated using a molecular dating method integrating fossil calibrations. I also need to know the extant distributions,
which are readily available, indicated as colored boxes. I also a need a method of inference.. There are many here.
I used a so-called statistical method implemented in the program BioGeoBEARS.
What it does is to estimate the range evolution scenarios at ancestral nodes.What does that mean.
Let’s look at the resuls.
To reconstruct this biogeographic history, I will need three things. a phylogeny, which I already had, but now it is
dated using a molecular dating method integrating fossil calibrations. I also need to know the extant distributions,
which are readily available, indicated as colored boxes. I also a need a method of inference.. There are many here.
I used a so-called statistical method implemented in the program BioGeoBEARS.
What it does is to estimate the range evolution scenarios at ancestral nodes.What does that mean.
Let’s look at the resuls.
Alright. That wraps up the Zelus monography. By working on assassin bugs, I gained well-rounded training in the theories and methods of taxonomy, systematics, and collection-based research. Reduviids will continue to fascinate and inspire me and they fit really well with curiosity-driven systematics research. However, I was acutely aware that their economic relevance is relatively limited compared to some other insects. When I was just finishing my PhD, I identified and secured a postdoctoral position to work on weevils. In the following part of my current research, I will share with you some of my latest research that expanded not only my taxonomic expertise, but also my conceptual and methodological arena.
Now I’m turning to the last chapter of my adventures. I will talk about I wrangled with 11 million sequences generated using the Illumina MiSeq next generation sequencing platform. I will also share my story of initially following but soon revolting against the current doctrines of bacterial sequence diversity and taxonomy analyses.
Why study symbionts of weevils besides the obvious reason that I work on weevils? A good reason is that weevils are known to harbor diverse symbionts. Paul Buchner, a pioneer of endosymbiosis research, said this, “Nowhere else aside from the cicadas do so many symbiotic sites exist as in this insect family”. He was referring to what we now understand as Curculionoidea or weevils.
During the recent year, molecular studies have revealed eight groups of symbionts in weevils. Notably, two of those, Nardonella and Curculioniphilus are found only from weevils. Both symbionts were discovered quite recently, Nardonella in 2004 and Curculioniphilus in 2010. For most of these symbionts, we do not yet know what they do. Klebsiella fixes nitrogen and Sodalis provision nutriends and may also participate in cuticular synthesis.
And again, previous studies were limited in their taxonomic scopes. The six non-curculionid familes were never sampled. And within the Curculionidae, only 7 subfamilies were previously sampled.
So I would like to survey and identify bacterial symbionts across a large taxonomic sample of weevils by sequencing the 16S gene using next generation sequencing technologies.
We dissected 246 weevils and other beetles. Of those, 124 produced usable PCR products. This sample represents 4 families of weevils and 17 subfamilies of the Curculionidae. Those are significant increases compared to previous studies.
For the molecular experiments, we extracted DNA from gut content and amplified a 400 bp fragment of the 16s gene. In order to uniquely identify each sample so that they can be combined for multiplexing, the PCR primers were barcoded. Every sample had a unique combination of forward and reverse barcodes. The sequencing was done on a Illumina Miseq system, specifically using paired sequencing.
This graph is produced by QIIME. The bar chart is a visualization of the diversity, distribution and abundance of OTUs across samples. Each column is a sample. Each color in the chart represents an OTU at the genus level (if the OTU could be assigned to a genus, but that is not always the case). And the size of a bar indicates the relative abundance of an OTU. Altogether there are 947 OTUs. We can immediately see that the color orange is present in many samples and also quite abundant. Red, blue and green are widespread as well. So what OTUs do those represent?
It turned out that orange and blue are OTUs assigned only to the family Enterobacteriaceae. This is a large family and includes the famous E. coli and many symbiotic bacteria such as Buchnera. The red color is an aggregation of OTUs not assigned to any taxonomic groups. Altogether those sequences not classified to the genus-level comprise almost half of my dataset. This method did find some common symbionts, such Wolbachia, Rickettsia and Sodalis. However, we did not find either of the two weevil-specific bacteria, Nardonella and Curculioniphilus.
Filtering the sequences was straightforward and was done with Shell and Python scripting. First we removed singleton sequences and merged redundant sequences. What does that mean? In an illumina next generation sequencing data set, many sequencing reads are repetitions of the same sequence or are redundant reads. We merged those into unique sequences. But many other sequencing reads only appear once. Those are called singletons sequences and are most likely due to sequencing errors. We removed those singletons The resulting data set contained nearly 300,000 unique sequences. But 300,000 sequences are still too many to run a phylogenetic analysis. The next thing we did was to select sequences that have at least 100 redundant reads. The rational is that symbionts usually occur in large numbers and their sequences should be abundant in the data set. We are then down to 4000 unique sequences. We are going call this the “100 + dataset”.
Filtering the sequences was straightforward and was done with Shell and Python scripting. First we removed singleton sequences and merged redundant sequences. What does that mean? In an illumina next generation sequencing data set, many sequencing reads are repetitions of the same sequence or are redundant reads. We merged those into unique sequences. But many other sequencing reads only appear once. Those are called singletons sequences and are most likely due to sequencing errors. We removed those singletons The resulting data set contained nearly 300,000 unique sequences. But 300,000 sequences are still too many to run a phylogenetic analysis. The next thing we did was to select sequences that have at least 100 redundant reads. The rational is that symbionts usually occur in large numbers and their sequences should be abundant in the data set. We are then down to 4000 unique sequences. We are going call this the “100 + dataset”.
Doing phylogeny-based taxonomic assignments involved several steps. The first part is we need to build a phylogeny. To do that we created a reference 16S sequence database by filtering and modifying the greengenes database and we made sure that symbionts are well represented in this database. Those sequences were aligned with our own sequences of the 100+ dataset. Then we ran a phylogenetic analysis. Surprisingly, it took only a day to run the analysis on a supercomputing cluster.
The second step was to put sequences into bins according to their phylogenetic position on the phylogeny. In the picture here, the names starting with BEP are my sequences and they cluster with the weevil symbiont Nardonella. I picked all the sequences in the neighborhood of Nardonella. What this does is find clusters of sequences that have a possible close phylogenetic relationship to a symbiont. However, this does not confirm the identity of the sequences, primarily because the reference database is not complete. I’m going to call those putative symbiont sequences. It is like saying we found an insect that closely resembles a butterfly, but we really don’t know what it is or whether it is new until we compare it with all known butterflies. What we will need to do next is take the putative symbiont sequences and closely related sequences with known identities and construct another phylogeny. And I will call this step ‘phylogenetic verification’.
In phylogenetic verification, I first collected representative sequences, usually 1-3 species per genus, which are closely related to the target symbiont. And then I aligned those sequences with my own putative symbiont sequences.
This is a phylogeny of Nardonella and its relatives, which are in the family Enterobacteriaceae. The shaded branches are my putative symbiont sequences and the ones not shaded are published sequences with known identities. First impression is that they come out at different places on the phylogeny. There is a large clade of sequences, which we can identify as Nardonella. Two sequences cluster with a bacterium called Kleidoceria, previously found from Lygaeid hemipteran bugs. There is cluster that is sister to a number of genera, which might represent a novel symbiont. I found a single sequence of Curculioniphilus and several that clustered with Sodalis.
This is a phylogeny of Nardonella and its relatives, which are in the family Enterobacteriaceae. The shaded branches are my putative symbiont sequences and the ones not shaded are published sequences with known identities. First impression is that they come out at different places on the phylogeny. There is a large clade of sequences, which we can identify as Nardonella. Two sequences cluster with a bacterium called Kleidoceria, previously found from Lygaeid hemipteran bugs. There is cluster that is sister to a number of genera, which might represent a novel symbiont. I found a single sequence of Curculioniphilus and several that clustered with Sodalis.
Alright. That wraps up the Zelus monography. By working on assassin bugs, I gained well-rounded training in the theories and methods of taxonomy, systematics, and collection-based research. Reduviids will continue to fascinate and inspire me and they fit really well with curiosity-driven systematics research. However, I was acutely aware that their economic relevance is relatively limited compared to some other insects. When I was just finishing my PhD, I identified and secured a postdoctoral position to work on weevils. In the following part of my current research, I will share with you some of my latest research that expanded not only my taxonomic expertise, but also my conceptual and methodological arena.
We dissected 246 weevils and other beetles. Of those, 124 produced usable PCR products. This sample represents 4 families of weevils and 17 subfamilies of the Curculionidae. Those are significant increases compared to previous studies.