Large-scale phylogenomic analysis resolves a backbone phylogeny in ferns.
Large-scale phylogenomic analysis resolves a backbone phylogeny in ferns.
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大规模系统发育分析解决了蕨类植物的主干系统发育问题
DOI:
10.1093/gigascience/gix116
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发表时间:
2018-02-01
期刊:
影响因子:
9.2
通讯作者:
Yan YH
中科院分区:
文献类型:
--
作者:
Shen H;Jin D;Shu JP;Zhou XL;Lei M;Wei R;Shang H;Wei HJ;Zhang R;Liu L;Gu YF;Zhang XC;Yan YH
Ferns, originated about 360 million years ago, are the sister group of seed plants. Despite the remarkable progress in our understanding of fern phylogeny, with conflicting molecular evidence and different morphological interpretations, relationships among major fern lineages remain controversial. With the aim to obtain a robust fern phylogeny, we carried out a large-scale phylogenomic analysis using high-quality transcriptome sequencing data, which covered 69 fern species from 38 families and 11 orders. Both coalescent-based and concatenation-based methods were applied to both nucleotide and amino acid sequences in species tree estimation. The resulting topologies are largely congruent with each other, except for the placement of Angiopteris fokiensis, Cheiropleuria bicuspis, Diplaziopsis brunoniana, Matteuccia struthiopteris, Elaphoglossum mcclurei, and Tectaria subpedata. Our result confirmed that Equisetales is sister to the rest of ferns, and Dennstaedtiaceae is sister to eupolypods. Moreover, our result strongly supported some relationships different from the current view of fern phylogeny, including that Marattiaceae may be sister to the monophyletic clade of Psilotaceae and Ophioglossaceae; that Gleicheniaceae and Hymenophyllaceae form a monophyletic clade sister to Dipteridaceae; and that Aspleniaceae is sister to the rest of the groups in eupolypods II. These results were interpreted with morphological traits, especially sporangia characters, and a new evolutionary route of sporangial annulus in ferns was suggested. This backbone phylogeny in ferns sets a foundation for further studies in biology and evolution in ferns, and therefore in plants.
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影响因子:
56.9
作者:
Noblin, X.;Rojas, N. O.;Dumais, J.
通讯作者:
Dumais, J.
影响因子:
6.5
作者:
Lewis, PO
通讯作者:
Lewis, PO
影响因子:
64.8
作者:
Pryer, KM;Schneider, H;Sipes, SD
通讯作者:
Sipes, SD
影响因子:
4.1
作者:
Kuo, Li-Yaung;Li, Fay-Wei;Wang, Chun-Neng
通讯作者:
Wang, Chun-Neng
DOI:
10.1093/bioinformatics/btu462
发表时间:
2014-09-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Mirarab S;Reaz R;Bayzid MS;Zimmermann T;Swenson MS;Warnow T
通讯作者:
Warnow T