We present data showing that the number of salamander species in Amazonia is vastly underestimated. We used DNA sequences of up to five genes (3 mitochondrial and 2 nuclear) of 366 specimens, 189 corresponding to 89 non-Amazonian nominal species and 177 Amazonian specimens, including types or topotypes, of eight of the nine recognized species in the region. By including representatives of all known species of Amazonian Bolitoglossa, except for one, and 73% of the currently 132 recognized species of the genus, our dataset represents the broadest sample of Bolitoglossa species, specimens, and geographic localities studied to date. We performed phylogenetic analyses using parsimony with tree-alignment and maximum likelihood (ML) with similarity alignment, with indels as binary characters. Our optimal topologies were used to delimit lineages that we assigned to nominal species and candidate new species following criteria that maximize the consilience of the current species taxonomy, monophyly, gaps in branch lengths, genetic distances, and geographic distribution. We contrasted the results of our species-delimitation protocol with those of Automated Barcode Gap Discovery (ABGD) and multi-rate Poisson Tree Processes (mPTP). Finally, we inferred the historical biogeography of South American salamanders by dating the trees and using dispersal-vicariance analysis (DIVA). Our results revealed a clade including almost all Amazonian salamanders, with a topology incompatible with just the currently recognized nine species. Following our species-delimitation criteria, we identified 44 putative species in Amazonia. Both ABGD and mPTP inferred more species than currently recognized, but their numbers (23-49) and limits vary. Our biogeographic analysis suggested a stepping-stone colonization of the Amazonian lowlands from Central America through the Chocó and the Andes, with several late dispersals from Amazonia back into the Andes. These biogeographic events are temporally concordant with an early land bridge between Central and South America (~10-15 MYA) and major landscape changes in Amazonia during the late Miocene and Pliocene, such as the drainage of the Pebas system, the establishment of the Amazon River, and the major orogeny of the northern Andes.
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http://dx.doi.org/10.1016/j.ympev.2020.106841 | DOI Listing |
Ann Bot
December 2024
Department of Agronomy, University of Agricultural Sciences and Natural Resources, Gorgan, Iran.
Background And Aims: Fire-released seed dormancy (SD) is a key trait for successful germination and plant persistence in many fire-prone ecosystems. Many local studies have shown that fire-released SD depends on heat and exposure time, dose of smoke-derived compounds, SD class, plant lineage and the fire regime. However, a global quantitative analysis of fire-released SD is lacking.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
Liaoning Ocean and Fisheries Science Research Institute/Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs/Key Laboratory of Molecular Biology for Marine Fishery, Dalian 116023, Liaoning, China.
We investigated food composition and feeding selectivity of jellyfish () from the coastal aquaculture ponds in Liaodong Bay by DNA metabarcoding technology. The DNA from environmental water samples and stomach contents of were extracted and sequenced by high-throughput sequencing with 18S rDNA V4 region and mitochondrial cytochrome c oxidase subunit I (COI) as metabarcoding markers. Based on 18S rDNA metabarcoding, we detected 27 phyla in the stomach contents of , in which Mollusc was the dominant phylum followed by Arthropod, and 34 phyla in the environmental water samples, in which Pyrrophyta was the dominant phylum followed by Ciliophora and Ascomycota.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
Jiangsu Marine Fisheries Research Institute, Nantong 226000, Jiangsu, China.
To understand the habitat distribution characteristics of in summer in Jiangsu coastal waters, we analyzed the relationship between resource density and habitat environment of by using a two-stage generalized additive model based on the survey data of fishery resources in August 2022, combined with the data of bottom water temperature, bottom salinity, depth, chlorophyll-a and prey species. The results showed that the average resource density of in summer was 15.03 kg·km, which mainly distributed in the outer sea area of Lusi Fishing Ground and the middle sea area of Haizhou Bay Fishing Ground.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
Ningxia Helan Mountain National Nature Reserve Administration, Yinchuan 750021, China.
subsp. is an important resource plant with considerable medicinal, economic, and ecological value, and an indicator species in the transition zones between forests and grasslands. Predicting the potential geographic distribution of subsp.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
Research Center for UAV Remote Sensing, College of Life Sciences, Shaanxi Normal University, Xi'an 710119, China.
Niche conservatism is essential for predicting the risk of alien species invasions. Currently, the changes of climate niche of during its invasion in China are still not clear. Using principal component analysis, we examined the climate niche shifts of during its invasion and analyzed its potential distribution in China.
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