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Transcriptomic analyses reveal clathrin-mediated endocytosis involved in symbiotic seed germination of Gastrodia elata

Overview of attention for article published in Botanical Studies, July 2017
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Title
Transcriptomic analyses reveal clathrin-mediated endocytosis involved in symbiotic seed germination of Gastrodia elata
Published in
Botanical Studies, July 2017
DOI 10.1186/s40529-017-0185-7
Pubmed ID
Authors

Xu Zeng, Yuanyuan Li, Hong Ling, Sisi Liu, Mengmeng Liu, Juan Chen, Shunxing Guo

Abstract

Gastrodia elata is a well-known medicinal orchid. In nature, the germination rate of G. elata is extremely poor, because there is no endosperm within the mature seed. It is crucial for G. elata to obtain nutrition from mycorrhizal fungi (Mycena) at the early-stage of germination. After germination, the seed gives rise to a protocorm. However, there are no "omic" studies on understanding the interaction between Gastrodia and Mycena. Here, we used transcriptomic approaches to explore changes in seed germination of G. elata. Based on RNA-Seq, a total of ~221 million clean reads were assembled denovo into 139,756 unigenes, including 42,140 unigenes that were annotated in public databases. Meanwhile, 1750 unigenes were identified as differentially expressed genes. Most of these differentially expressed genes were putatively involved in energy metabolism, plant defense, molecular signaling, and secondary metabolism. Additionally, numerous genes involved in clathrin-mediated endocytosis were identified from our data. Most of these genes (e.g., clathrin, adaptor protein, dynamin, HSC70) were basally expressed in seeds and highly expressed in protocorms. Our data suggested that clathrin-mediated endocytosis could play important roles in symbiotic seed germination of G. elata with Mycena infections.

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Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 18%
Researcher 5 18%
Student > Ph. D. Student 5 18%
Student > Doctoral Student 3 11%
Student > Bachelor 2 7%
Other 2 7%
Unknown 6 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 36%
Agricultural and Biological Sciences 9 32%
Environmental Science 1 4%
Nursing and Health Professions 1 4%
Immunology and Microbiology 1 4%
Other 0 0%
Unknown 6 21%