Bugula neritina host genotype and symbiotic status of colonies along the East Coast, USA, ranging from latitudes 38.61283 to 29.753272

Website: https://www.bco-dmo.org/dataset/719479
Data Type: experimental
Version: 2
Version Date: 2018-08-23

Project
» Biogeography of a marine defensive microbial symbiont: relative importance of host defense vs. abiotic factors (BiogeogDefensiveSymb)
ContributorsAffiliationRole
Lopanik, NicoleGeorgia Institute of Technology (GA Tech)Principal Investigator
Lim-Fong, GraceRandolph-Macon CollegeCo-Principal Investigator
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Bugula neritina host genotype and symbiotic status of colonies along the East Coast, USA, ranging from latitudes 38.61283 to 29.753272.


Coverage

Spatial Extent: N:38.61283 E:-75.072524 S:29.753272 W:-81.421
Temporal Extent: 2015-03-16 - 2016-06-15

Dataset Description

Bugula neritina host genotype and symbiotic status of colonies along the East Coast.


Methods & Sampling

Bugula neritina colonies were collected by hand using a haphazardly placed 15x15 cm grid on submerged area of floating dock, and placed into a tube of RNAlater. Colonies were collected along the Western Atlantic coast, ranging from latitudes 38.61283 to 29.753272. Surface waters, on sides of floating docks.Host genotype, either Type S or Type N, was determined by PCR amplification of the host cytochrome oxidase I gene followed by restriction analysis as in Linneman et al. 2014. The presence of the symbiont, either + for present or – for absent, was determined by PCR assays with two portions of the functional bryostatin biosynthetic gene documented in Sudek et al. 2007.

Temperature was measured with a digital thermometer, and salinity with a refractometer at the time of collection.


Data Processing Description

We have analyzed the proportions at differing latitudes and performed regression analysis with various factors (latitude, longitude, temperature, salinity) using SPSS Statistics 24.

BCO-DMO Processing:
-  applied date, location name, location code, lat, lon, temp, and sal to each relevant row (was only included the first row for each sample set);
- created location_descrip column for more detailed location place name;
- modified parameter names;
- moved "Total" to the "Grid" column;
- removed commas and apostrophes from place names; replaced spaces with underscores;
- replaced blanks and "N/A" with "nd" (no data).


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Data Files

File
B_neritina_genotype_dist.csv
(Comma Separated Values (.csv), 22.10 KB)
MD5:eabc8067e7e2b41cec56890604ef35b4
Primary data file for dataset ID 719479

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Related Publications

Linneman, J., Paulus, D., Lim-Fong, G., & Lopanik, N. B. (2014). Latitudinal Variation of a Defensive Symbiosis in the Bugula neritina (Bryozoa) Sibling Species Complex. PLoS ONE, 9(10), e108783. doi:10.1371/journal.pone.0108783
General
Sudek, S., Lopanik, N. B., Waggoner, L. E., Hildebrand, M., Anderson, C., Liu, H., … Haygood, M. G. (2007). Identification of the Putative Bryostatin Polyketide Synthase Gene Cluster from “CandidatusEndobugula sertula”, the Uncultivated Microbial Symbiont of the Marine BryozoanBugula neritina. Journal of Natural Products, 70(1), 67–74. doi:10.1021/np060361d
General

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Parameters

ParameterDescriptionUnits
date_collectedDate of collection, formatted as mm/dd/yyyy unitless
locationLocation samples collected unitless
location_descripSpecific area within location where samples were collected unitless
location_codeLocation code unitless
LatitudeLatitude of location decimal degrees
LongitudeLongitude of location decimal degrees
tempWater temperature degrees Celsius
salinityWater salinity parts per thousand
grid_numSampling effort replicate unitless
num_B_neritinaTotal number of B. neritina colonies in grid unitless
num_Type_S_symbNumber of Type S symbiotic colonies unitless
num_Type_S_asymbNumber of Type S aposymbiotic colonies unitless
num_Type_N_symbNumber of Type N symbiotic colonies unitless
num_Type_N_asymbNumber of Type N aposymbiotic colonies unitless
prop_Type_S_symbProportion of Type S symbiotic colonies unitless
prop_Type_S_asymbProportion of Type S aposymbiotic colonies unitless
prop_Type_N_symbProportion of Type N symbiotic colonies unitless
prop_Type_N_asymbProportion of Type N aposymbiotic colonies unitless


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Instruments

Dataset-specific Instrument Name
Generic Instrument Name
Refractometer
Generic Instrument Description
A refractometer is a laboratory or field device for the measurement of an index of refraction (refractometry). The index of refraction is calculated from Snell's law and can be calculated from the composition of the material using the Gladstone-Dale relation. In optics the refractive index (or index of refraction) n of a substance (optical medium) is a dimensionless number that describes how light, or any other radiation, propagates through that medium.

Dataset-specific Instrument Name
Generic Instrument Name
Thermal Cycler
Generic Instrument Description
A thermal cycler or "thermocycler" is a general term for a type of laboratory apparatus, commonly used for performing polymerase chain reaction (PCR), that is capable of repeatedly altering and maintaining specific temperatures for defined periods of time. The device has a thermal block with holes where tubes with the PCR reaction mixtures can be inserted. The cycler then raises and lowers the temperature of the block in discrete, pre-programmed steps. They can also be used to facilitate other temperature-sensitive reactions, including restriction enzyme digestion or rapid diagnostics. (adapted from http://serc.carleton.edu/microbelife/research_methods/genomics/pcr.html)

Dataset-specific Instrument Name
Generic Instrument Name
digital thermometer
Generic Instrument Description
An instrument that measures temperature digitally.


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Project Information

Biogeography of a marine defensive microbial symbiont: relative importance of host defense vs. abiotic factors (BiogeogDefensiveSymb)

Coverage: Western Atlantic coast, ranging from latitudes 38.61283 to 29.753272


Recent research has shown that microorganisms can be very important to their eukaryotic hosts, by providing nutrition or contributing to host defense against enemies, such as pathogens or predators. In many cases, however, hosting a bacterial symbiont imposes a physiological cost on the host organism, resulting in reduced growth or reproduction in the presence of the symbiont. Further, these costs may be more pronounced in some habitats than others, causing natural selection to act in eliminating symbiont-containing hosts from the population. In this project, the investigators are studying the relationship between the marine bryozoan invertebrate, Bugula neritina, and its uncultured symbiont. The symbiont produces natural products with activity against cancer, Alzheimer's disease, and HIV. Interestingly, these compounds also are distasteful and protect larvae from predators, indicating that this symbiotic relationship is defensive in nature. Along the East Coast of the US, the investigators have found a much higher proportion of individuals that have the defensive symbiont at lower latitudes, while the symbiont is absent in individuals collected at higher latitudes. This pattern is consistent with the theory that higher predation pressure exists at lower latitudes. Other environmental factors, such as temperature, can also vary over a wide geographical area, and may also play a role in influencing the relationship. In this project, the investigators will evaluate the ecological and environmental parameters that influence the distribution of a defensive symbiont, including predation pressure and temperature. Defensive symbionts represent another level of ecological complexity, and likely play an important role in structuring marine communities. This study will provide insight into how environmental factors can influence host-symbiont interactions and drive partner co-evolution. Furthermore, the bioactive products have pharmaceutical potential, and understanding how environmental factors influence the relationship between B. neritina and its symbiont may improve bioprospecting for novel compounds that could be developed into drugs.

In this research, the investigators will determine the ecological and environmental parameters that influence the distribution of a defensive symbiont in the marine bryozoan, Bugula neritina. The goal of this research is to determine the mechanism that results in the defensive endosymbiont being restricted to hosts that inhabit lower latitudes. This pattern of symbiont distribution could be the result of differing levels of costs and benefits at different latitudes: where predation pressure is low, the costs of hosting the symbiont outweigh the benefits, and aposymbiotic individuals outcompete their symbiotic conspecifics. In areas of higher predation, the defensive benefit outweighs the cost, and symbiotic individuals have higher survival rates than their undefended, aposymbiotic conspecifics. An alternative, but not mutually exclusive hypothesis, is that symbiont growth is inhibited at higher latitudes, where it is not as beneficial, and growth is induced in areas of higher predation. Specific goals are to determine if (1) a biogeographical cline in predation pressure corresponds to a gradient of symbiont frequency associating with the host, (2) symbiotic hosts have a higher fitness at low latitudes, and aposymbiotic hosts have a higher fitness at high latitudes, and (3) symbiont growth is promoted at low latitudes and inhibited at high latitudes. A combination of field and laboratory-based experiments will be conducted using ecological and molecular biology techniques. Bioactive compounds produced by symbionts of marine invertebrates can mediate multi-trophic interactions and potentially influence benthic community structure. There has been almost no research, however, on how ecological and environmental parameters influence the distribution of marine defensive endosymbionts.

Related Reference:

Linneman J, Paulus D, Lim-Fong G, Lopanik NB (2014) Latitudinal Variation of a Defensive Symbiosis in the Bugula neritina (Bryozoa) Sibling Species Complex. PLoS ONE 9(10): e108783. doi:10.1371/journal.pone.0108783



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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