Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1093/femsec/fiaa131 |
MicroNiche: an R package for assessing microbial niche breadth and overlap from amplicon sequencing data | |
Finn, D. R.; Yu, J.; Ilhan, Z. E.; Fernandes, V. M. C.; Penton, C. R.; Krajmalnik-Brown, R.; Garcia-Pichel, F.; Vogel, T. M. | |
通讯作者 | Finn, DR |
来源期刊 | FEMS MICROBIOLOGY ECOLOGY
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ISSN | 0168-6496 |
EISSN | 1574-6941 |
出版年 | 2020 |
卷号 | 96期号:8 |
英文摘要 | Niche is a fundamental concept in ecology. It integrates the sum of biotic and abiotic environmental requirements that determines a taxon's distribution. Microbiologists currently lack quantitative approaches to address niche-related hypotheses. We tested four approaches for the quantification of niche breadth and overlap of taxa in amplicon sequencing datasets, with the goal of determining generalists, specialists and environmental-dependent distributions of community members. We applied these indices to in silico training datasets first, and then to real human gut and desert biological soil crust (biocrust) case studies, assessing the agreement of the indices with previous findings. Implementation of each approach successfully identified a priori conditions within in silico training data, and we found that by including a limit of quantification based on species rank, one could identify taxa falsely classified as specialists because of their low, sparse counts. Analysis of the human gut study offered quantitative support for Bacilli, Gammaproteobacteria and Fusobacteria specialists enriched after bariatric surgery. We could quantitatively characterise differential niche distributions of cyanobacterial taxa with respect to precipitation gradients in biocrusts. We conclude that these approaches, made publicly available as an R package (MicroNiche), represent useful tools to assess microbial environment-taxon and taxon-taxon relationships in a quantitative manner. |
英文关键词 | niche theory community ecology proportional similarity index |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000574373300012 |
WOS关键词 | WEIGHT-LOSS ; POPULATION ; DIVERSITY ; ECOLOGY ; KEY |
WOS类目 | Microbiology |
WOS研究方向 | Microbiology |
来源机构 | Arizona State University |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/326593 |
作者单位 | [Finn, D. R.] Univ Queensland, Sch Agr & Food Sci, Brisbane, Qld 4072, Australia; [Finn, D. R.; Vogel, T. M.] Univ Lyon, Ecole Cent Lyon, Lab Ampere, Environm Microbial Genom, F-69134 Scully, France; [Yu, J.; Fernandes, V. M. C.; Penton, C. R.] Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA; [Yu, J.; Ilhan, Z. E.; Fernandes, V. M. C.; Krajmalnik-Brown, R.; Garcia-Pichel, F.] Arizona State Univ, Ctr Appl & Fundamental Microbi, Tempe, AZ 85287 USA; [Ilhan, Z. E.; Krajmalnik-Brown, R.] Arizona State Univ, Swette Ctr Environm Biotechnol, Tempe, AZ 85287 USA; [Ilhan, Z. E.; Krajmalnik-Brown, R.] Arizona State Univ, Biodesign Inst, Tempe, AZ 85287 USA; [Penton, C. R.] Arizona State Univ, Coll Integrat Sci & Arts, Mesa, AZ 85281 USA |
推荐引用方式 GB/T 7714 | Finn, D. R.,Yu, J.,Ilhan, Z. E.,et al. MicroNiche: an R package for assessing microbial niche breadth and overlap from amplicon sequencing data[J]. Arizona State University,2020,96(8). |
APA | Finn, D. R..,Yu, J..,Ilhan, Z. E..,Fernandes, V. M. C..,Penton, C. R..,...&Vogel, T. M..(2020).MicroNiche: an R package for assessing microbial niche breadth and overlap from amplicon sequencing data.FEMS MICROBIOLOGY ECOLOGY,96(8). |
MLA | Finn, D. R.,et al."MicroNiche: an R package for assessing microbial niche breadth and overlap from amplicon sequencing data".FEMS MICROBIOLOGY ECOLOGY 96.8(2020). |
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