Skills (11)
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113 Questions5933 Followers
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0 Questions0 Followers
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76 Questions1394 Followers
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58 Questions2793 Followers
Research experience
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Oct 2008–
May 2012Teaching: Undergraduate laboratory practicals and leaving cert biology experiments.
National University of Ireland, Maynooth · BiologyIreland (Republic of Ireland) · Maynooth -
Oct 2008–
Sep 2012Research: Phylogeography of arctic/alpine carnation plants in Ireland
National University of Ireland, Maynooth · Biology · Molecular EcologyIreland (Republic of Ireland) · MaynoothBe the first to introduce the method of HRM analysis into our field with minor improvement through a case study. Also quantitatively assessed how useful it could be in future works within the field. -
Oct 2003–
Jun 2006Research: Coexistence of cryptic species of pollinating fig wasps
Beijing Normal University · School of Life Science · Theoretical EcologyChina · BeijingPioneering in revealing hidden cryptic species of pollinating fig wasps from tropical forests in Southwest China using DNA assays. Theoretically reviewed and discussed how they could coexist without mutual exclusion. -
Nov 2002–
May 2003Research: Population genetic structures of Scilla scilloides complex in East China
Yunnan University · School of Life Science · Population geneticsChina · KunmingPreliminarily explored the genetic structure of five populations of Scilla scilloides polyploid Complex (Hyacinthaceae) from east China using allozyme/isozyme analysis and interpreted the potential pattern of historical dispersal of the plant.
Education
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May 2012–
Jun 2012University of Michigan (Online course via Coursera)
Model thinkingUSA · Ann Arbor -
Sep 2010
Tataa Biocenter
qPCR Data MiningIreland (Republic of Ireland) · Dublin -
Feb 2010
Rijksuniversiteit Groningen
Evolutionary DynamicsNetherlands · Groningen -
Feb 2009
Universität Salzburg
Phylogeography course and workshopAustria · Salzburg -
Oct 2008–
Sep 2012National University of Ireland, Maynooth
Molecular Ecology · PhDIreland (Republic of Ireland) · Maynooth -
Sep 2003–
Jun 2006Beijing Normal university
Theoretical and Evolutionary Ecology · Master of ScienceChina · Beijing -
Sep 1999–
Jun 2003Yunnan University
Biology · Bachelor of ScienceChina · Kunming
Awards & achievements
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Oct 2008Scholarship: John & Pat Hume Scholarship
Other
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LanguagesEnglish, Chinese
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Scientific MembershipsIrish Plant Scientists Association
Questions and Answers (8) View all
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Answer added in Cancer Biology19 Do cancer cells switch off their proliferation ability during invasion?By Mathieu Derouet · University Health NetworkXiao-Dong Dang · National University of Ireland, MaynoothVery interesting question but no ready answer yet. I guess a cancer cell must keep the ability to proliferate while (if) invading, and it must proacti... [more]Very interesting question but no ready answer yet. I guess a cancer cell must keep the ability to proliferate while (if) invading, and it must proactively proliferate after successful invasion. However it doesn't have to actually divide while migrating. The two processes may be mutually exclusive, as Nicole said, but only at some stage in a real-time sense. They are both needed by that very cell for successful colonization.Following
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Answer added in PCR10 I'm building a pcr thermal cycler (DIY), does anybody know if a 0,5ºC ramp rate is acceptable ?By Eder China · Faculdade de Ciências da Saúde de São PauloXiao-Dong Dang · National University of Ireland, MaynoothAs I know, commercialised PCR instruments usually allow you to adjust the ramping speed between 0.5-3.0ºC/s, and in some new types between 0.1-20.0º... [more]As I know, commercialised PCR instruments usually allow you to adjust the ramping speed between 0.5-3.0ºC/s, and in some new types between 0.1-20.0ºC/s. In terms of amplification success solely, 0.5ºC/s will definitely work well. The only problem is the running will be very slow. The default ramping speed is usually 3-4ºC/s, but in some quick-running machines they use 10-20ºC/s, which doesn't work well with certain target DNA loci.Following
Publications (1) View all
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Article: Rapid identification of chloroplast haplotypes using High Resolution Melting analysis.
[show abstract] [hide abstract]
ABSTRACT: We have evaluated High Resolution Melting (HRM) analysis as a method for one-step haplotype identification in phylogeographic analysis. Using two adjoined internal amplicons (c. 360 and 390 bp) at the chloroplast rps16 intron (c. 750 bp) we applied HRM to identify haplotypes in 21 populations of two European arctic-alpine herb species Arenaria ciliata and Arenaria norvegica (Caryophyllaceae). From 446 accessions studied, 20 composite rps16 haplotypes were identified by the melting-curve protocol, 18 of which could be identified uniquely. In a comparative sensitivity analysis with in silico PCR-RFLP, only seven of these 20 haplotypes could be identified uniquely. Observed in vitro experimental HRM profiles were corroborated by in silico HRM analysis generated on uMelt(SM) . In silico mutation analysis carried out on a 360 bp wild-type rps16I amplicon determined that the expected rate of missed single-nucleotide polymorphisms (SNP) detection in vitro was similar to existing evaluations of HRM sensitivity, with transversion SNPs being more likely to go undetected compared to transition SNPs. In vitro HRM successfully discriminated between all amplicon templates differing by two or more base changes (352 cases) and between 11 pairs of amplicons where the only difference was a single transition or transversion SNP. Only one pairwise comparison yielded no discernable HRM curve difference between haplotypes, and these samples differed by one transversion (C/G) SNP. HRM analysis represents an untapped resource in phylogeographic analysis, and with appropriate primer design any polymorphic locus is potentially amenable to this single-reaction method for haplotype identification.Molecular Ecology Resources 07/2012; 12(5):894-908. · 3.06 Impact Factor
About
Interested in various forms of dynamical systems, where conflict is happening at multiple levels simultaneously. In a system where each member is maximizing their own existence over time or just behaves according to a determined set of rules, what status will the system end up with? Will it fall in a stable state, go periodical, run into chaos, or just show some fantastic but complex patterns? What more complex patterns can we see from systems with hierarchical structures?