Literature DB >> 31899899

Diversity in biology: definitions, quantification and models.

Song Xu1, Lucas Böttcher, Tom Chou.   

Abstract

Diversity indices are useful single-number metrics for characterizing a complex distribution of a set of attributes across a population of interest. The utility of these different metrics or sets of metrics depends on the context and application, and whether a predictive mechanistic model exists. In this topical review, we first summarize the relevant mathematical principles underlying heterogeneity in a large population, before outlining the various definitions of 'diversity' and providing examples of scientific topics in which its quantification plays an important role. We then review how diversity has been a ubiquitous concept across multiple fields, including ecology, immunology, cellular barcoding experiments, and socioeconomic studies. Since many of these applications involve sampling of populations, we also review how diversity in small samples is related to the diversity in the entire population. Features that arise in each of these applications are highlighted.

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Year:  2020        PMID: 31899899      PMCID: PMC8788892          DOI: 10.1088/1478-3975/ab6754

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  86 in total

Review 1.  Systematic conservation planning.

Authors:  C R Margules; R L Pressey
Journal:  Nature       Date:  2000-05-11       Impact factor: 49.962

2.  Partitioning diversity into independent alpha and beta components.

Authors:  Lou Jost
Journal:  Ecology       Date:  2007-10       Impact factor: 5.499

3.  Neutral theory and relative species abundance in ecology.

Authors:  Igor Volkov; Jayanth R Banavar; Stephen P Hubbell; Amos Maritan
Journal:  Nature       Date:  2003-08-28       Impact factor: 49.962

4.  Estimating mosquito population size from mark-release-recapture data.

Authors:  D Cianci; J Van den Broek; B Caputo; F Marini; A Della Torre; H Heesterbeek; N Hartemink
Journal:  J Med Entomol       Date:  2013-05       Impact factor: 2.278

5.  Reply to Willis: Powerful predictions of biodiversity from ecological models and scaling laws.

Authors:  Kenneth J Locey; Jay T Lennon
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-10       Impact factor: 11.205

6.  Methods for comparing the diversity of samples of the T cell receptor repertoire.

Authors:  Vanessa Venturi; Katherine Kedzierska; Stephen J Turner; Peter C Doherty; Miles P Davenport
Journal:  J Immunol Methods       Date:  2007-02-21       Impact factor: 2.303

7.  Community assessment techniques and the implications for rarefaction and extrapolation with Hill numbers.

Authors:  Kieran D Cox; Morgan J Black; Natalia Filip; Matthew R Miller; Kayla Mohns; James Mortimor; Thaise R Freitas; Raquel Greiter Loerzer; Travis G Gerwing; Francis Juanes; Sarah E Dudas
Journal:  Ecol Evol       Date:  2017-11-21       Impact factor: 2.912

8.  The use of sequential mark-release-recapture experiments to estimate population size, survival and dispersal of male mosquitoes of the  Anopheles gambiae complex in Bana, a west African humid savannah village.

Authors:  Patric Stephane Epopa; Abdoul Azize Millogo; Catherine Matilda Collins; Ace North; Frederic Tripet; Mark Quentin Benedict; Abdoulaye Diabate
Journal:  Parasit Vectors       Date:  2017-08-07       Impact factor: 3.876

9.  Barcode identification for single cell genomics.

Authors:  Akshay Tambe; Lior Pachter
Journal:  BMC Bioinformatics       Date:  2019-01-17       Impact factor: 3.169

10.  Insights into immune system development and function from mouse T-cell repertoires.

Authors:  Zachary Sethna; Yuval Elhanati; Crissy S Dudgeon; Curtis G Callan; Arnold J Levine; Thierry Mora; Aleksandra M Walczak
Journal:  Proc Natl Acad Sci U S A       Date:  2017-02-14       Impact factor: 11.205

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  5 in total

1.  The great divide: drivers of polarization in the US public.

Authors:  Lucas Böttcher; Hans Gersbach
Journal:  EPJ Data Sci       Date:  2020-10-28       Impact factor: 3.184

2.  A statistical model of COVID-19 testing in populations: effects of sampling bias andtesting errors.

Authors:  Lucas Böttcher; Maria R D'Orsogna; Tom Chou
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-11-22       Impact factor: 4.226

3.  Clonal dominance in excitable cell networks.

Authors:  Jasmin Imran Alsous; Jan Rozman; Robert A Marmion; Andrej Košmrlj; Stanislav Y Shvartsman
Journal:  Nat Phys       Date:  2021-11-01       Impact factor: 20.034

4.  Diversity strengthens competing teams.

Authors:  J Rowlett; C J Karlsson; M Nursultanov
Journal:  R Soc Open Sci       Date:  2022-08-10       Impact factor: 3.653

5.  A statistical model of COVID-19 testing in populations: effects of sampling bias and testing errors.

Authors:  Lucas Böttcher; Maria R D'Orsogna; Tom Chou
Journal:  medRxiv       Date:  2021-05-26
  5 in total

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