Literature DB >> 32393619

Evaluation of plant sources for antiinfective lead compound discovery by correlating phylogenetic, spatial, and bioactivity data.

Laura Holzmeyer1, Anne-Kathrin Hartig2, Katrin Franke2, Wolfgang Brandt2, Alexandra N Muellner-Riehl3,4, Ludger A Wessjohann5,4, Jan Schnitzler3,4.   

Abstract

Antibiotic resistance and viral diseases are rising around the world and are becoming major threats to global health, food security, and development. One measure that has been suggested to mitigate this crisis is the development of new antibiotics. Here, we provide a comprehensive evaluation of the phylogenetic and biogeographic patterns of antiinfective compounds from seed plants in one of the most species-rich regions on Earth and identify clades with naturally occurring substances potentially suitable for the development of new pharmaceutical compounds. Specifically, we combine taxonomic and phylogenetic data for >7,500 seed plant species from the flora of Java with >16,500 secondary metabolites and 6,255 georeferenced occurrence records to 1) identify clades in the phylogeny that are characterized by either an overrepresentation ("hot clades") or an underrepresentation ("cold clades") of antiinfective compounds and 2) assess the spatial patterns of plants with antiinfective compounds relative to total plant diversity across the region. Across the flora of Java, we identify 26 "hot clades" with plant species providing a high probability of finding antibiotic constituents. In addition, 24 "cold clades" constitute lineages with low numbers of reported activities but which have the potential to yield novel compounds. Spatial patterns of plant species and metabolite diversity are strongly correlated across Java, indicating that regions of highest species diversity afford the highest potential to discover novel natural products. Our results indicate that the combination of phylogenetic, spatial, and phytochemical information is a useful tool to guide the selection of taxa for efforts aimed at lead compound discovery.

Entities:  

Keywords:  biodiversity; chemical diversity; chemoinformatics; natural products; phylogenetics

Year:  2020        PMID: 32393619     DOI: 10.1073/pnas.1915277117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  4 in total

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Journal:  Int J Mol Sci       Date:  2022-05-13       Impact factor: 6.208

2.  Spatial and evolutionary predictability of phytochemical diversity.

Authors:  Emmanuel Defossez; Camille Pitteloud; Patrice Descombes; Gaétan Glauser; Pierre-Marie Allard; Tom W N Walker; Pilar Fernandez-Conradi; Jean-Luc Wolfender; Loïc Pellissier; Sergio Rasmann
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-19       Impact factor: 12.779

3.  Genome sequence and population genomics provide insights into chromosomal evolution and phytochemical innovation of Hippophae rhamnoides.

Authors:  Liyang Yu; Songfeng Diao; Guoyun Zhang; Jigao Yu; Tong Zhang; Hongmei Luo; Aiguo Duan; Jinpeng Wang; Caiyun He; Jianguo Zhang
Journal:  Plant Biotechnol J       Date:  2022-04-28       Impact factor: 13.263

4.  Ethnomedicinal landscape: distribution of used medicinal plant species in Nepal.

Authors:  Ripu M Kunwar; Bikash Baral; Sanjeev Luintel; Yadav Uprety; Ram C Poudel; Binaya Adhikari; Yagya P Adhikari; Suresh C Subedi; Chandra K Subedi; Prakash Poudel; Hem R Paudel; Basanta Paudel; Laxmi Mahat Kunwar; Kul S Upadhayaya; Shandesh Bhattarai; Dipesh Pyakurel; Durga H Kutal; Pramod Pandey; Ananta Bhandari; Gokarna J Thapa; Narel Y Paniagua Zambrana; Rainer W Bussmann
Journal:  J Ethnobiol Ethnomed       Date:  2022-04-18       Impact factor: 3.404

  4 in total

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