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  • Hosted by:Chinese Academy of Sciences
    Sponsored by:Institute of Botany, Chinese Academy of Sciences, Botanical Society of China
    Co-hosted by:Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences
    Institute of Biotechnology and Germplasm Resources, Yunnan AgriculturalAcademy
    Fujian Agriculture and Forestry University
    Hunan Provincial Key Laboratory of Phytohormones and Growth Development, Hunan Agricultural University
    State Key Laboratory of Crops Biology, Shandong Agricultural University

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Phylogenetic Tree Reconstruction Based on Molecular Data
Huanwen Peng, Wei Wang
Chinese Bulletin of Botany    2023, 58 (2): 261-273.   DOI: 10.11983/CBB22224
Accepted: 15 November 2022

Abstract844)   HTML36)    PDF (2708KB)(2591)       Save

Phylogenetics is a discipline reconstructing evolutionary relationships of organisms. With improvements in sequencing technique, analytic methods, and computation power, the molecular data have been used widely and have promoted greatly the rapid development of molecular phylogenetics. The phylogenetic tree has become a powerful tool in many areas of biology, such as ecology and comparative biology. Currently, phylogenetic studies mainly focus on phylogenetic tree reconstructions by using various software, however, some fundamental principles or matters that should be paid attention when performing phylogenetic analyses are sometimes weakened or even ignored. Here, we present the workflow and methods in details for phylogenetic tree reconstruction based on molecular data, including taxon sampling, molecular marker selection, sequence alignment, partitioning and model selection, combined analysis of multiple markers, and topological test. Currently, the widely used methods of phylogenetic reconstructions are maximum parsimony, maximum likelihood, and Bayesian inference. We thereby provide the detailed operating flows and corresponding commands for these three methods, respectively. We expect this paper will provide a reference for relevant researches.

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Protocals for Oligonucleotide Fluorescence in situ Hybridization in Plants
Fanfan Zhang, Xinying Xing, Wenqing Shi, Yi Shen, Zhukuan Cheng
Chinese Bulletin of Botany    2023, 58 (2): 274-284.   DOI: 10.11983/CBB22265
Accepted: 10 January 2023

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Oligonucleotide fluorescence in situ hybridization (Oligo-FISH) is a new technology that integrates bioinformatics analysis, high throughput DNA synthesis and fluorescence in situ hybridization experiments. It is applicable to plant species with a reference genome. Oligo probes are able design to a chromosomal region, an entire chromosome, and a set of chromosomes according to researchers’ requirements. Oligo-FISH has been successfully applied to studies on karyotyping, chromosome variation, population evolution, homologous chromosome pairing, haplotype analysis, and heteropolyploid identification in several plant species. Here, we introduce the concrete operational processes of oligonucleotide-based probe design, amplification and labeling, chromosomes preparation, and fluorescence in situ hybridization in plants, so as to facilitate Oligo-FISH application in the cytogenetics research in the future.

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