scholarly journals Integrating natural history collections and comparative genomics to study the genetic architecture of convergent evolution

2019 ◽  
Vol 374 (1777) ◽  
pp. 20180248 ◽  
Author(s):  
Sangeet Lamichhaney ◽  
Daren C. Card ◽  
Phil Grayson ◽  
João F. R. Tonini ◽  
Gustavo A. Bravo ◽  
...  

Evolutionary convergence has been long considered primary evidence of adaptation driven by natural selection and provides opportunities to explore evolutionary repeatability and predictability. In recent years, there has been increased interest in exploring the genetic mechanisms underlying convergent evolution, in part, owing to the advent of genomic techniques. However, the current ‘genomics gold rush’ in studies of convergence has overshadowed the reality that most trait classifications are quite broadly defined, resulting in incomplete or potentially biased interpretations of results. Genomic studies of convergence would be greatly improved by integrating deep ‘vertical’, natural history knowledge with ‘horizontal’ knowledge focusing on the breadth of taxonomic diversity. Natural history collections have and continue to be best positioned for increasing our comprehensive understanding of phenotypic diversity, with modern practices of digitization and databasing of morphological traits providing exciting improvements in our ability to evaluate the degree of morphological convergence. Combining more detailed phenotypic data with the well-established field of genomics will enable scientists to make progress on an important goal in biology: to understand the degree to which genetic or molecular convergence is associated with phenotypic convergence. Although the fields of comparative biology or comparative genomics alone can separately reveal important insights into convergent evolution, here we suggest that the synergistic and complementary roles of natural history collection-derived phenomic data and comparative genomics methods can be particularly powerful in together elucidating the genomic basis of convergent evolution among higher taxa. This article is part of the theme issue ‘Convergent evolution in the genomics era: new insights and directions’.

2019 ◽  
Author(s):  
Sangeet Lamichhaney ◽  
Daren C. Card ◽  
Phil Grayson ◽  
João F.R. Tonini ◽  
Gustavo A. Bravo ◽  
...  

AbstractEvolutionary convergence has been long considered primary evidence of adaptation driven by natural selection and provides opportunities to explore evolutionary repeatability and predictability. In recent years, there has been increased interest in exploring the genetic mechanisms underlying convergent evolution, in part due to the advent of genomic techniques. However, the current ‘genomics gold rush’ in studies of convergence has overshadowed the reality that most trait classifications are quite broadly defined, resulting in incomplete or potentially biased interpretations of results. Genomic studies of convergence would be greatly improved by integrating deep ‘vertical’, natural history knowledge with ‘horizontal’ knowledge focusing on the breadth of taxonomic diversity. Natural history collections have and continue to be best positioned for increasing our comprehensive understanding of phenotypic diversity, with modern practices of digitization and databasing of morphological traits providing exciting improvements in our ability to evaluate the degree of morphological convergence. Combining more detailed phenotypic data with the well-established field of genomics will enable scientists to make progress on an important goal in biology: to understand the degree to which genetic or molecular convergence is associated with phenotypic convergence. Although the fields of comparative biology or comparative genomics alone can separately reveal important insights into convergent evolution, here we suggest that the synergistic and complementary roles of natural history collection-derived phenomic data and comparative genomics methods can be particularly powerful in together elucidating the genomic basis of convergent evolution among higher taxa.


2016 ◽  
Vol 159 (2) ◽  
pp. 81-88
Author(s):  
W. John Tennent ◽  
M. Eulàlia Gassó Miracle

“Across the world, natural-history collections hold thousands of species awaiting identification. In fact, researchers today find many more novel animals and plants by sifting through decades-old specimens than they do by surveying tropical forests and remote landscapes. An estimated three-quarters of newly named mammal species are already part of a natural-history collection at the time they are identified. They sometimes sit unrecognised for a century or longer, hidden in drawers, half-forgotten in jars, misidentified, unlabelled.” Museums: The endangered dead (C. Kemp, Nature 518 (7539): 292–294, London, 19th February 2015) A new subspecies of Nacaduba cyanea (Cramer, 1775), N. c. sanane ssp. n., from the Indonesian island of Buru is described and illustrated. It is compared with nominotypical cyanea (TL: “West-Indiën” [= West Indies]; recte: “Oost-Indiën” [= East Indies]) and N. c. obiana (Fruhstorfer, 1915) (TL: Obi). All eight currently recognised Moluccan subspecies of N. cyanea, including N. c. sanane ssp. n., are illustrated and a map depicting their distribution in the Moluccas is presented.


2021 ◽  
Author(s):  
Rebecca J Wilson ◽  
Alexandre F de Siqueira ◽  
Stephen J Brooks ◽  
Benjamin W Price ◽  
Lea M Simon ◽  
...  

Natural history collections (NHCs) are invaluable resources for understanding biotic response to global change. Museums around the world are currently imaging specimens, capturing specimen data, and making them freely available online. In parallel to the digitisation effort, there have been great advancements in computer vision (CV): the computer trained automated recognition/detection, and measurement of features in digital images. Applying CV to digitised NHCs has the potential to greatly accelerate the use of NHCs for biotic response to global change research. In this paper, we apply CV to a very large, digitised collection to test hypotheses in an established area of biotic response to climate change research: temperature-size responses. We develop a CV pipeline (Mothra) and apply it to the NHM iCollections of British butterflies (>180,000 specimens). Mothra automatically detects the specimen in the image, sets the scale, measures wing features (e.g., forewing length), determines the orientation of the specimen (pinned ventrally or dorsally), and identifies the sex. We pair these measurements and meta-data with temperature records to test how adult size varies with temperature during the immature stages of species and to assess patterns of sexual-size dimorphism across species and families. Mothra accurately measures the forewing lengths of butterfly specimens and compared to manual baseline measurements, Mothra accurately determines sex and forewing lengths of butterfly specimens. Females are the larger sex in most species and an increase in adult body size with warm monthly temperatures during the late larval stages is the most common temperature size response. These results confirm suspected patterns and support hypotheses based on recent studies using a smaller dataset of manually measured specimens. We show that CV can be a powerful tool to efficiently and accurately extract phenotypic data from a very large collection of digital NHCs. In the future, CV will become widely applied to digital NHC collections to advance ecological and evolutionary research and to accelerate the use of NHCs for biotic response to global change research.


Author(s):  
Niels Raes ◽  
Emily van Egmond ◽  
Ana Casino ◽  
Matt Woodburn ◽  
Deborah L Paul

With digitisation of natural history collections over the past decades, their traditional roles — for taxonomic studies and public education — have been greatly expanded into the fields of biodiversity assessments, climate change impact studies, trait analyses, sequencing, 3D object analyses etc. (Nelson and Ellis 2019; Watanabe 2019). Initial estimates of the global natural history collection range between 1.2 and 2.1 billion specimens (Ariño 2010), of which 169 million (8-14% - as of April 2019) are available at some level of digitisation through the Global Biodiversity Information Facility (GBIF). With iDigBio (Integrated Digitized Biocollections) established in the United States and with the European DiSSCo (Distributed Systems of Scientific Collections) accepted on the ESFRI roadmap, it has become a priority to digitize natural history collections at an industrialized scale. Both iDigBio and DiSSCo aim at mobilising, unifying and delivering bio- and geo-diversity information at the scale, form and precision required by scientific communities, and thereby transform a fragmented landscape into a coherent and responsive research infrastructure. In order to prioritise digitisation based on scientific demand, and efficiency using industrial digitisation pipelines, it is required to arrive at a uniform and unambiguously accepted collection description standard that would allow comparing, grouping and analysing natural history collections at diverse levels. Several initiatives attempt to unambiguously describe natural history collections using taxonomic and storage classification schemes. These initiatives include One World Collection, Global Registry of Scientific Collections (GRSciColl), TDWG (Taxonomic Databases Working Group) Natural Collection Descriptions (NCD) and CETAF (Consortium of European Taxonomy Facilities) passports, among others. In a collaborative effort of DiSSCo, ICEDIG (Innovation and consolidation for large scale digitisation of natural heritage), iDigBio, TDWG and the Task Group Collection Digitisation Dashboards, the various schemes were compared in a cross-walk analysis to propose a preliminary natural collection description standard that is supported by the wider community. In the process, two main user groups of collection descriptions standards were identified; scientists and collection managers. The classification produced intends to meet requirements from them both, resulting in three classification schemes that exist in parallel to each other (van Egmond et al. 2019). For scientific purposes a ‘Taxonomic’ and ‘Stratigraphic’ classification were defined, and for management purposes a ‘Storage’ classification. The latter is derived from specimen preservation types (e.g. dried, liquid preserved) defining storage requirements and the physical location of specimens in collection holding facilities. The three parallel collection classifications can be cross-sectioned with a ‘Geographic’ classification to assign sub-collections to major terrestrial and marine regions, which allow scientists to identify particular taxonomic or stratigraphic (sub-)collections from major geographical or marine regions of interest. Finally, to measure the level of digitisation of institutional collections and progress of digitisation through time, the number of digitised specimens for each geographically cross-sectioned (sub-)collection can be derived from institutional collection management systems (CMS). As digitisation has different levels of completeness a ‘Digitisation’ scheme has been adopted to quantify the level of digitisation of a collection from Saarenmaa et al. 2019, ranging from ‘not digitised’ to extensively digitised, recorded in a progressive scale of MIDS (Minimal Information for Digital Specimen). The applicability of this preliminary classification will be discussed and visualized in a Collection Digitisation Dashboards (CDD) to demonstrate how the implementation of a collection description standard allows the identification of existing gaps in taxonomic and geographic coverage and levels of digitisation of natural history collections. This set of common classification schemes and dashboard design (van Egmond et al. 2019) will be contributed to the TDWG Collection Description interest group to ultimately arrive at the common goal of a 'World Collection Catalogue'.


2018 ◽  
Vol 6 ◽  
Author(s):  
Vaughn Shirey

Natural history collections contain estimated billions of records representing a large body of knowledge about the diversity and distribution of life on Earth. Assessments of various forms of bias within the aggregated data associated with specimens in these collections have been conducted across temporal, taxonomic, and spatial domains. Considering that these biases are the sum of biases across all contributing collections to aggregate datasets, the assessment of bias at the collection level is warranted. Interactive visualization provides a powerful tool for the assessment of these biases and insight into the historical development of natural history collections, providing context for where sources of bias may originate and developing historical narratives to clarify our understanding of our own knowledge about life on Earth. Here, I present a case study on using Sankey diagrams to illustrate the development of the entomology type collection at the Academy of Natural Sciences of Drexel University in Philadelphia, Pennsylvania with the hope that extensions of these practices among individual natural history collections are modified and adopted.


2015 ◽  
Vol 42 (2) ◽  
pp. 197-210 ◽  
Author(s):  
Laurence M. Cook

Joseph Sidebotham (1824–1885) was a Manchester cotton baron whose natural history collections are now in the Manchester Museum. In addition to collecting he suggested a method for identifying and classifying Lepidoptera and investigated variation within species as well as species limits. With three close collaborators, he is credited with discovering many species new to Britain in both Lepidoptera and Coleoptera. A suspicion of fraud attaches to these claims. The evidence is not clear-cut in the Lepidoptera, but a possible reason is suggested why Sidebotham, as an amateur in the increasingly professional scientific world, might have engaged in deceit.


1981 ◽  
Vol 1981 (1) ◽  
pp. 61-70
Author(s):  
H. B. Carter ◽  
Judith A. Diment ◽  
C. J. Humphries ◽  
Alwyne Wheeler

2002 ◽  
Vol 29 (3) ◽  
pp. 333-336
Author(s):  
PIOTR DASZKIEWICZ ◽  
MICHEL JEGU

ABSTRACT: This paper discusses some correspondence between Robert Schomburgk (1804–1865) and Adolphe Brongniart (1801–1876). Four letters survive, containing information about the history of Schomburgk's collection of fishes and plants from British Guiana, and his herbarium specimens from Dominican Republic and southeast Asia. A study of these letters has enabled us to confirm that Schomburgk supplied the collection of fishes from Guiana now in the Laboratoire d'Ichtyologie, Muséum National d'Histoire Naturelle, Paris. The letters of the German naturalist are an interesting source of information concerning the practice of sale and exchange of natural history collections in the nineteenth century in return for honours.


Sign in / Sign up

Export Citation Format

Share Document