Publications by authors named "Cai-Qing Yang"

Background: Despite the presence of a large number of toxic components, primarily juglone, in walnut green husks, these components have failed to prevent infestations of the specialized pest Atrijuglans aristata. At present, it remains unclear whether detoxification genes play a pivotal role in enhancing host fitness of A. aristata.

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Gelechioidea represents the most diverse superfamily of tiny boring pests in Lepidoptera that pose a serious threat to agricultural and forestry economic crops. However, the lack of high-quality genome of highly specialized species makes it difficult to draw general conclusions about the mechanism of the close binding relationship between pests and crops. In this study, based on second- and third-generation sequencing reads, we constructed a chromosome-level genome for the Atrijuglans aristata, a specialized boring pest, that specifically harms the green husk of cultivated walnuts.

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Eriocraniidae (Lepidoptera) are widespread leaf miners and have unique adaptability to hypoxia and low temperatures, causing covert but devastating harm to Fagales (Betulaceae and Fagaceae) plants in the Holarctic. However, the lack of a high-quality genome of this most ancient family within the angiosperm-feeding group largely limits the studies on the phylogeny and environmental adaptation of the primitive Lepidoptera. In this study, utilizing Illumina sequencing, PacBio HiFi sequencing, and Hi-C technology, we constructed a chromosome-level genome assembly of E.

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is a major potato pest of global importance, early warning and detection of which are of significance. In this study, we analyzed the climate niche conservation of during its invasion by comparing the overall climate niche from three dimensions, including the differences between native range (South America) and entire invaded region (excluding South America), the differences bwtween native range (South America) and five invaded continents (North America, Oceania, Asia, Africa, and Europe), as well as the differences between native region (South America) and an invaded region (China). We constructed ecological niche models for its native range (South America) and invaded region (China).

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Article Synopsis
  • Integrative taxonomy combines various methods like behavior, morphology, and DNA barcoding for species identification, but these methods can have limitations when used alone.
  • A new method called MMNet uses a convolutional neural network to effectively merge both morphological and molecular data, outperforming existing methods in accuracy across diverse species, including beetles and butterflies.
  • Results indicate that MMNet's success relies heavily on the quantity of training data, showing that both image and genetic data are crucial, with genetic data providing a slightly greater contribution to overall identification accuracy.
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Species identification through DNA barcoding or metabarcoding has become a key approach for biodiversity evaluation and ecological studies. However, the rapid accumulation of barcoding data has created some difficulties: for instance, global enquiries to a large reference library can take a very long time. We here devise a two-step searching strategy to speed identification procedures of such queries.

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