Catarina Silva

Dr. Catarina Silva


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 December 2023 in Science
Verified
Journal Article
Closed access
SLSally C. Y. Lau
Sally C. Y. Lau
NWNerida Wilson
Nerida Wilson
NGNicholas R. Golledge
Nicholas R. Golledge
TNTim R. Naish
Tim R. Naish
PWPhillip C. Watts
Phillip C. Watts
JSJan M. Strugnell
Jan M. Strugnell
The marine-based West Antarctic Ice Sheet (WAIS) is considered vulnerable to irreversible collapse under future climate trajectories, and its tipping point may lie within the mitigated warming scenarios of 1.5° to 2°C of the United Nations Paris Agreement. Knowledge of ice loss during similarly warm past climates could resolve this uncertainty, including the Last Interglacial when global sea levels were 5 to 10 meters higher than today and global average temperatures were 0.5° to 1.5°C warmer than preindustrial levels. Using a panel of genome-wide, single-nucleotide polymorphisms of a circum-Antarctic octopus, we show persistent, historic signals of gene flow only possible with complete WAIS collapse. Our results provide the first empirical evidence that the tipping point of WAIS loss could be reached even under stringent climate mitigation scenarios.

14 June 2017 in Heredity
Verified
Journal Article
Closed access
CSCatarina Silva
Catarina Silva
SMS E McFarlane
S E McFarlane
IHI J Hagen
I J Hagen
LRL Rönnegård
L Rönnegård
ABA M Billing
A M Billing
AHA Husby
A Husby

1 November 2013 in Marine Policy
Verified
Journal Article
Closed access
CSCatarina Silva
Catarina Silva
MBMatt K. Broadhurst
Matt K. Broadhurst
RMRodrigo P. Medeiros
Rodrigo P. Medeiros
JDJosé H. Dias
José H. Dias

20 December 2020 in Molecular Ecology
Verified
Journal Article
Closed access
PDF file
CSCatarina Silva
Catarina Silva
NMNicholas P. Murphy
Nicholas P. Murphy
JBJames J. Bell
James J. Bell
BGBridget S. Green
Bridget S. Green
GDGuy Duhamel
Guy Duhamel
JSJan M. Strugnell
Jan M. Strugnell

23 March 2020 in Ecography
Verified
Journal Article
Open access
PDF file
SLSally C. Y. Lau
Sally C. Y. Lau
NWNerida Wilson
Nerida Wilson
CSCatarina Silva
Catarina Silva
JSJan M. Strugnell
Jan M. Strugnell
Throughout the Quaternary, the continental‐based Antarctic ice sheets expanded and contracted repeatedly. Evidence suggests that during glacial maxima, grounded ice eliminated most benthic (bottom‐dwelling) fauna across the Antarctic continental shelf. However, paleontological and molecular evidence indicates most extant Antarctica benthic taxa have persisted in situ throughout the Quaternary. Where and how the Antarctic benthic fauna survived throughout repeated glacial maxima remain mostly hypothesised. If understood, this would provide valuable insights into the ecology and evolution of Southern Ocean biota over geological timescales. Here we synthesised and appraised recent studies and presented an approach to demonstrate how genetic data can be effective in identifying where and how Antarctic benthic fauna survived glacial periods. We first examined the geological and ecological evidence for how glacial periods influenced past species demography in order to provide testable frameworks for future studies. We outlined past ice‐free areas from Antarctic ice sheet reconstructions that could serve as glacial refugia and discussed how benthic fauna with pelagic or non‐pelagic dispersal strategies moved into and out of glacial refugia. We also reviewed current molecular studies and collated proposed locations of Southern Ocean glacial refugia on the continental shelf around Antarctica, in the deep sea, and around sub‐Antarctic islands. Interestingly, the proposed glacial refugia based on molecular data generally do not correspond to the ice‐free areas identified by Antarctic ice sheet reconstructions. The potential biases in sampling and in the choice of molecular markers in current literature are discussed, along with the future directions for employing testable frameworks and genomic methods in Southern Ocean molecular studies. Continued data syntheses will elucidate greater understanding of where and how Southern Ocean benthic fauna persisted throughout glacial periods and provide insights into their resilience against climate changes in the future.

12 September 2019 in BMC Genomics
Verified
Journal Article
Open access
PDF file
SNSamantha J. Nowland
Samantha J. Nowland
CSCatarina Silva
Catarina Silva
PSPaul Colin Southgate
Paul Colin Southgate
JSJan M. Strugnell
Jan M. Strugnell
Background: The black-lip rock oyster (Saccostrea echinata) has considerable potential for aquaculture throughout the tropics. Previous attempts to farmS. echinatafailed due to an insufficient supply of wild spat; however, the prospect of hatchery-based aquaculture has stimulated renewed interest, and small-scale farming is underway across northern Australia and in New Caledonia. The absence of knowledge surrounding the population genetic structure of this species has raised concerns about the genetic impacts of this emerging aquaculture industry. This study is the first to examine population genetics ofS. echinataand employs both mitochondrial cytochrome c oxidase subunit I gene (COI) and single nucleotide polymorphism (SNP) markers.Results: The mitochondrial COI data set included 273 sequences of 594 base pair length, which comprised 74 haplotypes. The SNP data set included 27,887 filtered SNPs for 272 oysters and of these 31 SNPs were identified as candidate adaptive loci. Data from the mitochondrial COI analyses, supports a broad tropical Indo-Pacific distribution ofS. echinata,and showed high haplotype and nucleotide diversities (0.887–1.000 and 0.005–0.008, respectively). Mitochondrial COI analyses also revealed a ‘star-like’ haplotype network, and significant and negative neutrality tests (Tajima’sD = − 2.030, Fu’sFs = − 25.638,P < 0.001) support a recent population expansion after a bottleneck. The SNP analyses showed significant levels of population subdivision and four genetic clusters were identified: (1) the Noumea (New Caledonia) sample location; (2) the Bowen (north Queensland, Australia) sample location, and remaining sample locations in the Northern Territory, Australia (n = 8) were differentiated into two genetic clusters. These occurred at either side of the Wessel Islands and were termed (3) ‘west’ and (4) ‘east’ clusters, and two migrant individuals were detected between them. The SNP data showed a significant positive correlation between genetic and geographic distance (Mantel test,P < 0.001,R2 = 0.798) and supported isolation by distance. Three candidate adaptive SNPs were identified as occurring within known genes and gene ontology was well described for the sex peptide receptor gene.Conclusions: Data supports the existence of genetically distinct populations ofS. echinata, suggesting that management of wild and farmed stocks should be based upon multiple management units. This research has made information on population genetic structure and connectivity available for a new aquaculture species.