• Functional genomic diversification within single estuaries
  • Genomics-enabled oyster restoration in New York Harbor Estuary
  • Diversification at a zoogeographic province boundary
  • Diversification of zooplankton along estuarine gradients
  • Invasive marine parasites
  • Phylogeography of cryptic surf clam subspecies

Functional genomic diversification within single estuaries

One mechanism by which marine species with larval dispersal cope with highly heterogeneous and unpredictable environments is through high fecundity and sexually generated zygotic diversity. George Williams (1975) described this life history strategy as the ‘elm/oyster model’, emphasizing that meiotic recombination generates abundant phenotypic diversity among zygotes within each cohort. It follows that, in high fecundity organisms, physical stress gradients acting during dispersal and after settlement can generate large within-generation changes in genotype frequencies based on relative fitness. How much functional diversification results from within-generation selection within a single estuary, and to what extent does this dynamic maintain balanced polymorphisms?

oyster life cycle

Fig. 1: Life cycle of eastern oyster.

Two recent projects in the Hare Lab investigated this question using genomic approaches. Laura Eierman is a recent PhD graduate who studied the functional genetics of osmoregulatory tolerances in the euryhaline oyster, Crassostrea virginica. Euryhaline describes the evolved capacity to maintain physiological homeostasis during wide tidal fluctuations of salinity from ~5 to 35 parts per thousand salt. This adaptive plasticity is costly and has limits, so we expected variation among genotypes in their ability to tolerate low salinity (larval survival) and in adult gene expression response to low salinity (Fig. 1). Laura experimentally measured the tolerance of larvae to low salinity after reciprocally conditioning broodstock from high- and low-salinity portions of an estuary (Eierman and Hare 2013). Then, using an oyster transcriptome reference that she assembled de novo (Eierman and Hare 2014), she conducted RNA-seq to measure gene expression differentiation between oyster adults from high- and low-salinity reefs, again tested in a reciprocal transplant tank experiment (Eierman and Hare 2015). Using coding sequence polymorphisms and allele frequencies inferred from the RNAseq data, Laura found a very low average level of genomic differentiation between the two reefs, consistent with high gene flow. However, in the 1% most differentiated loci she also found signatures of directional selection on the low-salinity reef based on nucleotide diversity and allelic correlations among loci. The Hare Lab is continuing to investigate within-generation selection in Delaware Bay oysters in a collaborative NSF-funded project with Daphne Monroe at Rutgers University and Elizabeth North at the Center for Environmental Science, Horn Point Lab, University of Maryland.

Genomics-enabled oyster restoration in New York Harbor Estuary

Eastern oyster (Crassostrea virginica) reefs were abundant in the Hudson/Raritan estuary (HRE; Fig. 2) during and before the colonial period, but were devastated by overfishing and pollution. Oyster reefs are now one of eleven unique habitats prioritized for restoration in the HRE to improve overall environmental quality of the estuary for the benefit of the region. Oyster reefs are valuable habitat used by many species; they help stabilize shorelines and help filter particulates from the water during feeding. If oysters can be successfully recovered to a larger sustainable population size in the HRE, greater resilience is expected for both the environment and its urban inhabitants (local harvest is not the goal).

oyster sampling sites

Figure 2: Map of spat or adult oyster sampling sites for NY Sea Grant genomic analysis of population differentiation.

Work in the Hare Lab has been focused on two objectives: (1) testing for genetic population structure among remnant wild oyster populations in the Hudson and East Rivers (Fig. 2) and (2) comparing the fitness-related performance of hatchery-produced oyster cohorts manipulated to have low vs. high genetic diversity. As recent data increasingly showed that a remnant oyster population near the Tappan Zee bridge is reproductively robust (Table 1), we increased efforts to evaluate whether this population can support a population expansion, supplementing hatchery-based restoration. Genomic tests for population structure, funded by New York Sea Grant, were conducted by Yuka Kutsumi for her MS degree. We tested the null hypothesis that juvenile oysters recruiting in HRE were from a genetically homogeneous larval pool, versus an alternative hypothesis that domesticated aquaculture oysters used for pilot-scale restoration projects contributed locally to recruitment. The data support an inference of very high historical gene flow, leading to nearly homogenized allele frequencies across the estuary. However, a genetic discontinuity was found that did not occur near restoration sites as predicted, but instead distinguished East River populations from Hudson River populations with respect to apparent admixture (interbreeding with a genetically different source population). The source of admixture is a question requiring further analyses, but the fact that any differentiation at all occurs between these rivers indicates that larval connectivity is minimal and/or the genetic differences are very recent.

Table 1: Mean number of oyster spat per shell bag for three sites in the HRE. Bags of clean bivalve shell were deployed each year in June or July and monitored monthly for new recruits with new clean shell bags deployed each month. “-” indicates no bags deployed, “0” is zero wild set, and “*” indicates no shell bag deployment but wild spat recruitment was evident on experimental oysters. IRV and HH are Hudson River sites near the Tappan Zee bridge. SV is in the East River (Fig. 1). These data demonstrate consistent late-season reproduction in the Hudson Tappan Zee population, even when no recruitment was seen in the East River (2013).

 

Work on HRE oyster restoration is continuing in a collaborative study funded by the Atkinson Center for a Sustainable Future (ACSF Academic Venture Fund). Efforts to restore oyster beds near urban areas have been slow, in part because public health regulations protecting consumers and the harvest industry are at odds with conservation goals. In addition, hatchery-based population supplementation has been a primary method used to attempt recovery of remnant stocks, but conventional hatchery practices may limit success by reducing genetic diversity of restoration oysters. The project funded by ACSF will improve chances for successful oyster restoration by investigating risk perception among oyster restoration stakeholders (Holley et al. 2018) and testing methods of minimizing hatchery impacts on oyster performance under natural conditions.

Map of experimental oyster cage outplant sites vertically aligned with growth rate results

Figure 3

Fig. 3: Map of experimental oyster cage outplant sites vertically aligned with growth rate results for two intervals of the 2017 growing season when all oysters were apx. one year old. Map inset shows a color legend for HRE salinity (psu, practical salinity units) courtesy of Stevens Institute. Error bars in histograms are based on 3 replicate cages per site, whereas wild spat were unreplicated per site.

 

More specifically, hatchery cohorts with relatively high and low genetic diversity were outplanted in various estuarine microenvironments to test their relative performance under different environmental conditions. So far, based on juvenile growth rates and survivorship in various HRE locations, the genetic diversity treatments are not showing a significant effect. Instead, site to site variability contributes the most to variation in performance (Fig. 3). The comparison shown in Fig. 3 includes wild-set Tappan Zee spat (TZ-Wild, light blue) collected at IRV and transplanted to four other sites. These wild oysters were approximately the same age as the hatchery cohorts, and to make these groups more comparable we glued hatchery-produced “singles” onto shell (Fig. 4).

Single oysters glued to a labeled shell

Fig 4. Hatchery-produced spat (unattached “singles”) glued to a labeled oyster shell.

Many thanks to ACSF for our AVF funding, to the Billion Oyster Project for their cooperation and support, and to our site hosts who keep our experimental oyster cages safe from tampering. Stay tuned for a summary of results from summer of 2018!

 

Diversification at a zoogeographic province boundary

Clustered species range limits in eastern Florida represent a widely recognized boundary between warm-temperate and sub-tropical faunistic provinces. A compression of latitudinal thermoclines along the Florida coast implicates climate as a driving force shaping this community transition, but few studies have directly compared the importance of climate versus hydrographic dispersal barriers or species interactions. The eastern oyster, Crassostrea virginica, is nearly-continuously distributed around Florida, providing an exceptional intraspecific model for distinguishing the relative importance of pre- and postsettlement mechanisms structuring estuarine populations across the province boundary in eastern Florida. A major goal in the Hare lab, previously funded by NSF, is to understand the biotic and abiotic factors that maintain population differentiation in the oyster, and ultimately to test the generality of these influences on other codistributed species.

Cline
Fig. 5: from Hare and Avise 1996, eastern oyster allele frequency clines for three polymorphisms from Massachusetts to Louisiana (far right), an expanded view from Georgia to Miami (middle), and a map of Florida indicating collection localities along eastern Florida.

 

Much of the eastern oyster genetic cline in Florida has been stable for the past dozen years (~6 generations; K. Cammen senior thesis). Both dispersal barriers and selection could be maintaining this steep genetic cline. Eastern oysters only occur in the hydrographically semi-closed lagoons behind barrier beaches in eastern Florida, where larval dispersal is predicted to be small-scale, bidirectional and follow a stepping-stone pattern. However, if larvae are flushed out and re-enter lagoons through barrier island inlets, then coastal currents may generate a leap-frog pattern of dispersal. Dispersal directionality could result from larval advection by coastal currents and be a particularly important aspect of cline maintenance, and province boundaries in general, because asymmetrical gene flow can steepen clinal variation and truncate species ranges along a selection gradient (Hare et al. 2005). Multilocus assignment tests on newly-settled oysters were used to measure contemporary gene flow across the step cline and provided no support for recent dispersal across the step cline (Zhang and Hare 2012), consistent with a stable step cline.

Oysters growing on slate tile

Fig. 6: Oyster spat (juveniles) growing on experimental slate tile in Florida.

The spatial scale of population structure is determined by a balance between dispersal-mediated connectivity, genetic drift, and spatially variable selection. Along the eastern Florida ecotone, we inferred oyster dispersal patterns in combination with the spatial pattern and magnitude of selection as measured by post-settlement cohort analyses and reciprocal transplants. Hatchery-related studies involving oyster spawning and culture were conducted in collaboration with John Scarpa at Harbor Branch Oceanographic Institute. Martha Burford conducted experiments to distinguish three models by which selection may maintain the oyster cline, (1) hybrid unfitness relative to parentals regardless of habitat, (2) habitat-specific hybrid unfitness, and (3) bounded hybrid superiority, with hybrid success constrained to intermediate habitats. She measured fitness-related traits including growth rate, survivorship, rate of reproductive maturation, and infection intensity of a major protozoan parasite, Perkinsus marinus. Martha found that progeny of NxN and SxS crosses showed significant local adaptation (genetic x environment interaction effects) with respect to juvenile survival, rate of reproductive maturation and pre-spawn wet meat weight (Burford et al. 2014). Reproductive barriers were also investigated by Haibin Zhang with in vitro tests of differential cross-fertilization efficiency (Zhang et al. 2010).

Cryptic surf clam subspecies in fisheries and aquaculture

Fig. 7: Spisula solidissima solidissima on the left, S. solidissima similis on the right.

Recently, genetic analyses demonstrated that commercially fished surf clams in Long Island Sound (LIS) are not an ecotype of the Atlantic surf clam, Spisula solidissima solidissima, as previously believed (Hare et al. 2010). Instead, it is a disjunct population of the more southerly surf clam subspecies Spisula solidissima similis, (also known as Raveneli’s surfclam, Spisula raveneli Conrad), a genetically distinct subspecies with no previously known populations occurring north of Cape Hatteras. With funds from USDA Hatch, we are surveying additional appropriate habitats in southern New England to document the extent of S.s. similis occurrence, genetically infer the time of origin for these populations, and test for recent hybridization with S.s. solidissima where they co-occur.

With assistance from Dr. Scott Lindell at MBL and aquaculturist Matt Weeks, we acquired a sample of clams from southern Cape Cod and found a mixture of both subspecies with possible hybrids. Also, similis-size clams from nearshore waters along south Long Island, NY, were obtained from the NYSDEC. This south-shore Long Island sample proved to be entirely juvenile S.s. solidissima, as was always assumed for fisheries management. Microsatellite markers isolated from both subspecies showed comparable amounts of genetic diversity and do not support a recent colonization of southern New England by S.s. similis from Georgia. Estimation of gene flow and divergence time between northern and Georgia populations of S.s. similis is continuing by Nick Fletcher in the EEB graduate field.