M
Min Tang
Researcher at China Agricultural University
Publications - 22
Citations - 3090
Min Tang is an academic researcher from China Agricultural University. The author has contributed to research in topics: Metagenomics & Biology. The author has an hindex of 11, co-authored 19 publications receiving 2568 citations. Previous affiliations of Min Tang include Nanjing Agricultural University.
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Journal ArticleDOI
Phylogenomics resolves the timing and pattern of insect evolution
Bernhard Misof,Shanlin Liu,Karen Meusemann,Ralph S. Peters,Alexander Donath,Christoph Mayer,Paul B. Frandsen,Jessica L. Ware,Tomas Flouri,Rolf G. Beutel,Oliver Niehuis,Malte Petersen,Fernando Izquierdo-Carrasco,Torsten Wappler,Jes Rust,Andre J. Aberer,Ulrike Aspöck,Ulrike Aspöck,Horst Aspöck,Daniela Bartel,Alexander Blanke,Simon Berger,Alexander Böhm,Thomas R. Buckley,Brett Calcott,Junqing Chen,Frank Friedrich,Makiko Fukui,Mari Fujita,Carola Greve,Peter Grobe,Shengchang Gu,Ying Huang,Lars S. Jermiin,Akito Y. Kawahara,Lars Krogmann,Martin Kubiak,Robert Lanfear,Robert Lanfear,Robert Lanfear,Harald Letsch,Yiyuan Li,Zhenyu Li,Jiguang Li,Haorong Lu,Ryuichiro Machida,Yuta Mashimo,Pashalia Kapli,Pashalia Kapli,Duane D. McKenna,Guanliang Meng,Yasutaka Nakagaki,José Luis Navarrete-Heredia,Michael Ott,Yanxiang Ou,Günther Pass,Lars Podsiadlowski,Hans Pohl,Björn M. von Reumont,Kai Schütte,Kaoru Sekiya,Shota Shimizu,Adam Slipinski,Alexandros Stamatakis,Alexandros Stamatakis,Wenhui Song,Xu Su,Nikolaus U. Szucsich,Meihua Tan,Xuemei Tan,Min Tang,Jingbo Tang,Gerald Timelthaler,Shigekazu Tomizuka,Michelle D. Trautwein,Xiaoli Tong,Toshiki Uchifune,Manfred Walzl,Brian M. Wiegmann,Jeanne Wilbrandt,Benjamin Wipfler,Thomas K. F. Wong,Qiong Wu,Gengxiong Wu,Yinlong Xie,Shenzhou Yang,Qing Yang,David K. Yeates,Kazunori Yoshizawa,Qing Zhang,Rui Zhang,Wenwei Zhang,Yunhui Zhang,Jing Zhao,Chengran Zhou,Lili Zhou,Tanja Ziesmann,Shijie Zou,Yingrui Li,Xun Xu,Yong Zhang,Huanming Yang,Jian Wang,Jun Wang,Karl M. Kjer,Xin Zhou +105 more
TL;DR: The phylogeny of all major insect lineages reveals how and when insects diversified and provides a comprehensive reliable scaffold for future comparative analyses of evolutionary innovations among insects.
Journal ArticleDOI
Ultra-deep sequencing enables high-fidelity recovery of biodiversity for bulk arthropod samples without PCR amplification
Xin Zhou,Yiyuan Li,Shanlin Liu,Qing Yang,Xu Su,Lili Zhou,Min Tang,Ribei Fu,Jiguang Li,Quanfei Huang +9 more
TL;DR: The ability of the new Illumina PCR-free pipeline for DNA metabarcoding to detect small arthropod specimens and its tendency to avoid most, if not all, false positives suggests its great potential in biodiversity-related surveillance, such as in biomonitoring programs.
Journal ArticleDOI
Multiplex sequencing of pooled mitochondrial genomes—a crucial step toward biodiversity analysis using mito-metagenomics
Min Tang,Meihua Tan,Guanliang Meng,Shenzhou Yang,Xu Su,Shanlin Liu,Wenhui Song,Yiyuan Li,Qiong Wu,Ai-bing Zhang,Xin Zhou +10 more
TL;DR: A novel multiplex sequencing and assembly pipeline allowing for simultaneous acquisition of full mitogenomes from pooled animals without DNA enrichment or amplification is developed and demonstrates the plausibility of a multi-locus mito-metagenomics approach as the next phase of the current single- locus metabarcoding method.
Journal ArticleDOI
High-throughput monitoring of wild bee diversity and abundance via mitogenomics
Min Tang,Chloe J. Hardman,Yinqiu Ji,Guanliang Meng,Shanlin Liu,Meihua Tan,Shenzhou Yang,Ellen D. Moss,Jingxin Wang,Chenxue Yang,Catharine Bruce,Timothy D. Nevard,Simon G. Potts,Xin Zhou,Douglas W. Yu,Douglas W. Yu +15 more
TL;DR: It is shown that the metagenomic mining and resequencing of mitochondrial genomes (mitogenomics) can be applied successfully to bulk samples of wild bees, and species lists, biomass frequencies, extrapolated species richness and community structure were recovered with less error than in a metabarcoding pipeline.
Journal ArticleDOI
Performance of amplicon and shotgun sequencing for accurate biomass estimation in invertebrate community samples.
Iliana Bista,Iliana Bista,Gary R. Carvalho,Min Tang,Kerry Walsh,Xin Zhou,Mehrdad Hajibabaei,Shadi Shokralla,Mathew Seymour,David C. Bradley,Shanlin Liu,Martin Christmas,Simon Creer +12 more
TL;DR: Overall, mitogenomic sequencing yielded more informative predictions of biomass content from bulk macroinvertebrate communities than metabarcoding, but for large‐scale ecological studies, metabarcode currently remains the most commonly used approach for diversity assessment.