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Ting Wang

Researcher at South China Agricultural University

Publications -  101
Citations -  1522

Ting Wang is an academic researcher from South China Agricultural University. The author has contributed to research in topics: Genome & Population. The author has an hindex of 19, co-authored 96 publications receiving 1160 citations. Previous affiliations of Ting Wang include Chinese Academy of Sciences.

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The complete chloroplast genome sequence of Cephalotaxus oliveri (Cephalotaxaceae): evolutionary comparison of cephalotaxus chloroplast DNAs and insights into the loss of inverted repeat copies in gymnosperms.

TL;DR: Overall, it is found that the distribution of repeats, indels, and substitutions is significantly correlated in Cephalotaxus cp genomes, consistent with a hypothesis that repeats play a role in inducing substitutions and indels in conifer cp genomes.
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Complete chloroplast genome sequence of a tree fern Alsophila spinulosa : insights into evolutionary changes in fern chloroplast genomes

TL;DR: Alsophila spinulosa (Cyatheaceae) is the only tree fern to have a complete chloroplast (cp) genome sequence as mentioned in this paper, which contains a quadripartite structure with the large (LSC, 86,308 bp) and small single copy (SSC, 21,623 bp), regions separated by two copies of an inverted repeat (IRs, 24,365 bp).
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Plastid genome sequencing, comparative genomics, and phylogenomics: Current status and prospects

TL;DR: Chloroplast phylogenomics has provided additional evidence for deep‐level phylogenetic relationships as well as increased phylogenetic resolutions at low taxonomic levels and rigorous analysis methodology has yet to be developed.
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AFLP genome scan to detect genetic structure and candidate loci under selection for local adaptation of the invasive weed Mikania micrantha.

TL;DR: Local adaptation at the genome level indeed exists in M. micrantha, and may represent a major evolutionary mechanism of successful invasion, as interactions between genetic diversity, multiple introductions, and reproductive modes contribute to increase the capacity of adaptive evolution.