Evidence map›Paper›PMID 32442164›Full record

ArticlePloS one2020

Museomics for reconstructing historical floristic exchanges: Divergence of stone oaks across Wallacea.

Joeri S Strijk, Hoàng Thi Binh, Nguyen Van Ngoc, Joan T Pereira, J W Ferry Slik, Rahayu S Sukri, Yoshihisa Suyama, Shuichiro Tagane, Jan J Wieringa, Tetsukazu Yahara and 1 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Delimiting species boundaries inFrontiers in plant science · 2025
    Article
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  4. Article
  5. Article
  6. Article
  7. Article
  8. A new subspecies ofPhytoKeys · 2021
    Article
  9. Validation ofPhytoKeys · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Joeri S StrijkState Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi University, Nanning, Guangxi, China.ORCID 0000-0003-1109-7015
Hoàng Thi BinhFaculty of Biology, Dalat University, Dalat, Vietnam.
Nguyen Van NgocFaculty of Biology, Dalat University, Dalat, Vietnam.ORCID 0000-0002-1518-9470
Joan T PereiraSabah Forestry Department, Forest Research Centre, Sandakan, Sabah, Malaysia.
J W Ferry SlikEnvironmental and Life Sciences Programme, Faculty of Science, Universiti Brunei Darussalam, Gadong, Brunei Darussalam.
Rahayu S SukriEnvironmental and Life Sciences Programme, Faculty of Science, Universiti Brunei Darussalam, Gadong, Brunei Darussalam.
Yoshihisa SuyamaKawatabi Field Science Centre, Graduate School of Agricultural Science, Tohoku University, Miyagi, Japan.
Shuichiro TaganeThe Kagoshima University Museum, Kagoshima University, Kagoshima, Japan.
Jan J WieringaNaturalis Biodiversity Center, Leiden, The Netherlands.
Tetsukazu YaharaCenter for Asian Conservation Ecology, Kyushu University, Fukuoka, Japan.
Damien D HinsingerBiodiversity Genomics Team, Plant Ecophysiology & Evolution Group, Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, Guangxi, China.ORCID 0000-0001-7459-7610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural history collections and tropical tree diversity are both treasure troves of biological and evolutionary information, but their accessibility for scientific study is impeded by a number of properties. DNA in historical specimens is generally highly fragmented, complicating the recovery of high-grade genetic material. Furthermore, our understanding of hyperdiverse, wide-spread tree assemblages is obstructed by extensive species ranges, fragmented knowledge of tropical tree diversity and phenology, and a widespread lack of species-level diagnostic characters, prohibiting the collecting of readily identifiable specimens which can be used to build, revise or strengthen taxonomic frameworks. This, in turn, delays the application of downstream conservation action. A sizable component of botanical collections are sterile-thus eluding identification and are slowing down progress in systematic treatments of tropical biodiversity. With rapid advances in genomics and bioinformatic approaches to biodiversity research, museomics is emerging as a new field breathing life into natural collections that have been built up over centuries. Using MIGseq (multiplexed ISSR genotyping by sequencing), we generated 10,000s of short loci, for both freshly collected materials and museum specimens (aged >100 years) of Lithocarpus-a widespread tropical tree genus endemic to the Asian tropics. Loci recovery from historical and recently collected samples was not affected by sample age and preservation history of the study material, underscoring the reliability and flexibility of the MIGseq approach. Phylogenomic inference and biogeographic reconstruction across insular Asia, highlights repeated migration and diversification patterns between continental regions and islands. Results indicate that co-occurring insular species at the extremity of the distribution range are not monophyletic, raising the possibility of multiple independent dispersals along the outer edge of Wallacea. This suggests that dispersal of large seeded tree genera throughout Malesia and across Wallacea may have been less affected by large geographic distances and the presence of marine barriers than generally assumed. We demonstrate the utility of MIGseq in museomic studies using non-model taxa, presenting the first range-wide genomic assessment of Lithocarpus and tropical Fagaceae as a proof-of-concept. Our study shows the potential for developing innovative genomic approaches to improve the capture of novel evolutionary signals using valuable natural history collections of hyperdiverse taxa.

Indexed as

BiodiversityBiological EvolutionDNAFagaceaeGenomicsMuseumsPhylogenyQuercusReproducibility of ResultsSequence Analysis, DNADNA

Identifiers

PMID32442164
PMCPMC7244142

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.