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Plant-herbivorous insect networks: who is eating what revealed by long barcodes using high-throughput sequencing and Trinity assembly 被引量:1
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作者 Xiao-Man Zhang Zhi-Yong Shi +7 位作者 Shao-Qian Zhang Peng Zhang john-james wilson Chungkun Shih Jing Li Xue-Dong Li Guo-Yue Yu Ai-Bing Zhang 《Insect Science》 SCIE CAS CSCD 2021年第1期127-143,共17页
Interactions between plants and insects are among the most important life functions for all organism at a particular natural community.Usually a large number of samples are required to identify insect diets in food we... Interactions between plants and insects are among the most important life functions for all organism at a particular natural community.Usually a large number of samples are required to identify insect diets in food web studies.Previously,Sanger sequencing and next generation sequencing(NGS)with short DNA barcodes were used,resulting in low species-level identification;meanwhile the costs of Sanger sequencing are expensive for metabarcoding together with more samples.Here,we present a fast and effective sequencing strategy to identify larvae of Lepidoptera and their diets at the same time without increasing the cost on Illumina platform in a single HiSeq run,with long-multiplexmetabarcoding(COI for insects,rbcL,matK,ITS and trnL for plants)obtained by Trinity assembly(SHMMT).Meanwhile,Sanger sequencing(for single individuals)and NGS(for polyphagous)were used to verify the reliability of the SHMMT approach.Furthermore,we show that SHMMT approach is fast and reliable,with most high-quality sequences of five DNA barcodes of 63 larvae individuals(54 species)recovered(full length of 100%of the COI gene and 98.3%of plant DNA barcodes)using Trinity assembly(up-sized to 1015 bp).For larvae diets identification,95%are reliable;the other 5%failed because their guts were empty.The diets identified by SHMMT approach are 100%consistent with the host plants that the larvae were feeding on during our collection.Our study demonstrates that SHMMT approach is reliable and cost-effective for insect-plants network studies.This will facilitate insect-host plant studies that generally contain a huge number of samples. 展开更多
关键词 high-throughput sequencing host plants insect network metabarcoding phytophagous insects
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Conserved gene arrangement in the mitochondrial genomes of barklouse families Stenopsocidae and Psocidae
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作者 Xiaochen LIU Hu LI +3 位作者 Yao CAI Fan SONG john-james wilson Wanzhi CAI 《Frontiers of Agricultural Science and Engineering》 2017年第3期358-365,共8页
Substantial variation in gene organization and arrangement has been reported for sequenced mitochondrial(mt) genomes from the suborders of the insect order Psocoptera. In this study we sequenced the complete mt genome... Substantial variation in gene organization and arrangement has been reported for sequenced mitochondrial(mt) genomes from the suborders of the insect order Psocoptera. In this study we sequenced the complete mt genome of Stenopsocus immaculatus, the first representative of the family Stenopsocidae from the suborder Psocomorpha. Relative to the ancestral pattern, rearrangements of a protein-coding gene(nad3) and five t RNA genes(trnQ, trnC, trnN, trnS1, trnE) were found. This pattern was similar to that of two barklice from the family Psocidae, with the exception of the translocation of trnS1,trnE and trnI. Based on comparisons of pairwise breakpoint distances of gene rearrangements, gene number and chromosome number, it was concluded that mt genomes of Stenopsocidae and Psocidae share a relatively conserved pattern of gene rearrangements; mt genomes within the Psocomorpha have been generally stable over long evolutionary history; and mt gene rearrangement has been substantially faster in the booklice(suborder Troctomorpha) than in the barklice(suborders Trogiomorpha and Psocomorpha). It is speculated that the change of life history and persistence of unusual reproductive systems with maternal inheritance contributed to the contrasting rates in mt genome evolution between the barklice and booklice. 展开更多
关键词 gene rearrangement mitochondrial genome PSOCOPTERA Stenopsocidae TDRL model
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