A phylogeographic study of the stoneplant Conophytum (Aizoaceae; Ruschioideae; Ruschieae) in the Bushmanland Inselberg Region (South Africa) suggests anemochory

The Bushmanland Inselberg Region (BIR) of South Africa provides an ideal system to study population interactions, as these inselbergs function as islands of Succulent Karoo surrounded by Nama Karoo vegetation. The population genetics of four Conophytum taxa endemic to the quartz-associated habitats of inselbergs in the BIR were investigated using amplified fragment length polymorphisms (AFLP), namely C. marginatum subsp. haramoepense, C. marginatum subsp. marginatum, C. maughanii, and C. ratum. Conophytum marginatum colonizes the quartz outcrops on the summits of the inselbergs, while C. maughanii and C. ratum occupy quartz patches at the summit and base of the inselbergs. A total of 24 populations were sampled to assess genetic differentiation between populations of each species, specifically between summit and base populations of C. ratum, eastern and western populations of C. maughanii and populations of the two subspecies of C. marginatum. Moderate levels of genetic differentiation were recovered between the summit and base populations of C. ratum, with an indication of some genetic connectivity between the populations. Slight differentiation between the eastern and western populations of C. maughanii was recovered, however, this was not reflected in the PCoA and STRUCTURE results. In C. marginatum, no significant genetic differentiation was recovered between populations of the subspecies. These results may reflect evidence of different dispersal mechanisms in the species, with the genetic connectivity between populations of C. ratum possibly indicating dispersal through hygrochastic capsules, while genetic connectivity between populations of C. maughanii and C. marginatum may, for the first time, suggest long-distance dispersal, i.e. anemochory. This study provides the first insights into population interactions across the BIR and highlights the importance of conservation in the region, particularly of the Gamsberg, in light of the recent mining activities.

[1]  A. Magee,et al.  Decoding ice plants: challenges associated with barcoding and phylogenetics in the diverse succulent family Aizoaceae. , 2018, Genome.

[2]  R. Powell,et al.  Inclusion of Ihlenfeldtia and Odontophorus in Cheiridopsis (Ruschioideae: Aizoaceae) and insights into generic and subgeneric circumscription in the Conophytum clade , 2017 .

[3]  A. Young,et al.  The distribution of the dwarf succulent genus Conophytum N.E.Br. (Aizoaceae) in southern Africa. , 2016 .

[4]  J. S. Boatwright,et al.  Phylogenetic placement and generic re‐circumscriptions of the multilocular genera Arenifera, Octopoma and Schlechteranthus (Aizoaceae: Ruschieae): Evidence from anatomical, morphological and plastid DNA data , 2016 .

[5]  A. Jürgens,et al.  Pollen-ovule ratios and flower visitors of day-flowering and night-flowering Conophytum (Aizoaceae) species in South Africa , 2014 .

[6]  Alexander S. T. Papadopulos,et al.  Correlates of hyperdiversity in southern African ice plants (Aizoaceae) , 2013, Botanical journal of the Linnean Society. Linnean Society of London.

[7]  M. Byrne,et al.  Genetic connectivity and diversity in inselberg populations of Acacia woodmaniorum, a rare endemic of the Yilgarn Craton banded iron formations , 2013, Heredity.

[8]  Rod Peakall,et al.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update , 2012, Bioinform..

[9]  Van Jaarsveld,et al.  Cremnophilous succulents of southern Africa : diversity, structure and adaptations , 2012 .

[10]  P. Schlittenhardt,et al.  Genetic differentiation in the genus Lithops L. (Ruschioideae, Aizoaceae) reveals a high level of convergent evolution and reflects geographic distribution. , 2011, Plant biology.

[11]  C. Mienie,et al.  Applying AFLPs in Aizoaceae: the delosperma herbeum complex as a case study , 2008 .

[12]  B. Fagan The Story Of Earth And Life: A Southern African Perspective on a 4.6-Billion-Year Journey (review) , 2007, African Studies Review.

[13]  A. Ellis,et al.  Spatial scale of local adaptation and population genetic structure in a miniature succulent, Argyroderma pearsonii. , 2007, The New phytologist.

[14]  Heidi M. Meudt,et al.  Almost forgotten or latest practice? AFLP applications, analyses and advances. , 2007, Trends in plant science.

[15]  C. Richards,et al.  Relative effects of nocturnal vs diurnal pollinators and distance on gene flow in small Silene alba populations. , 2006, The New phytologist.

[16]  S. Bensch,et al.  Ten years of AFLP in ecology and evolution: why so few animals? , 2005, Molecular ecology.

[17]  G. Evanno,et al.  Detecting the number of clusters of individuals using the software structure: a simulation study , 2005, Molecular ecology.

[18]  T. Nishio,et al.  Conversion of AFLP markers to sequence-specific markers for closely related lines in rice by use of the rice genome sequence , 2004, Molecular Breeding.

[19]  M. Stephens,et al.  Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. , 2003, Genetics.

[20]  H. J. Young,et al.  Diurnal and nocturnal pollination of Silene alba (Caryophyllaceae). , 2002, American journal of botany.

[21]  I. Roldán‐Ruiz,et al.  Data from amplified fragment length polymorphism (AFLP) markers show indication of size homoplasy and of a relationship between degree of homoplasy and fragment size , 2002, Molecular ecology.

[22]  A. Wong,et al.  Characterization of AFLP markers in damselflies: prevalence of codominant markers and implications for population genetic applications. , 2001, Genome.

[23]  Ran Nathan,et al.  Spatial patterns of seed dispersal, their determinants and consequences for recruitment. , 2000, Trends in ecology & evolution.

[24]  P. Donnelly,et al.  Inference of population structure using multilocus genotype data. , 2000, Genetics.

[25]  P. Sunnucks,et al.  Efficient genetic markers for population biology. , 2000, Trends in ecology & evolution.

[26]  U. Mueller,et al.  AFLP genotyping and fingerprinting. , 1999, Trends in ecology & evolution.

[27]  T. Yahara,et al.  Theoretical evaluation of pollen transfer by nocturnal and diurnal pollinators: when should a flower open? , 1999 .

[28]  C. Peres,et al.  Seed dispersal, spatial distribution and population structure of Brazilnut trees (Bertholletia excelsa) in southeastern Amazonia , 1997, Journal of Tropical Ecology.

[29]  S. Liede,et al.  Observations on pollination and hybridization in the genus Conophytum (Mesembryanthemaceae) , 1991, Bradleya.

[30]  M. D. Loveless,et al.  ECOLOGICAL DETERMINANTS OF GENETIC STRUCTURE IN PLANT POPULATIONS , 1984 .

[31]  D. Hartl,et al.  Principles of population genetics , 1981 .

[32]  K. Esler,et al.  Succulent Karoo Biome , 2006 .

[33]  Christian Schlötterer,et al.  The evolution of molecular markers — just a matter of fashion? , 2004, Nature Reviews Genetics.

[34]  P. Vos,et al.  AFLP: a new technique for DNA fingerprinting. , 1995, Nucleic acids research.

[35]  D. Piñero,et al.  Genetic structure, outcrossing rate and heterosis in Astrocaryum mexicanum (tropical palm): implications for evolution and conservation , 1992, Heredity.