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Ph.D. position in algal biotechnology || Leipzig University, Faculty of Life Sciences, Institute of Biology, Plant Physiology group of Prof. Severin Sasso, Leipzig, Germany

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 Ph.D. position in algal biotechnology PhD position - 3 years (m/f/d) Algal biotechnology Leipzig University, Faculty of Life Sciences, Institute of Biology, Plant Physiology group of Prof. Severin Sasso, Leipzig, Germany Start: 1 July 2024 Deadline: 7 May 2024 The Plant Physiology group at the Institute of Biology, Leipzig University, offers a Ph.D. position (Promotionsstelle) starting from 1 July 2024, subject to formal funding approval. Activities and responsibilities The unicellular alga Chlamydomonas reinhardtii secretes substantial amounts of glycolate under photorespiratory conditions (Taubert et al., Plant Biotechnol. J. 17, 1538-1546 (2019)). As glycolate is an important industrial chemical, its production in a photosynthetic microorganism opens up the long-term potential to establish a biotechnological industry based on renewable resources. The aim of a new third-party-funded project is to improve glycolate secretion. For this purpose, we want to use physical mutagenesis (e.

A New species of red alga has been named after our Senior Scientist Prof. B. B. Chaugule | Kumanoa chaugulei new species of red algae from Kerala

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 Dear researchers and Students,     This article introduces Kumanoa chaugulei Jayalakshmi & John, 2021... Kumanoa chaugulei  Jayalakshmi & John from Kerala (Phycologia)     Kumanoa chaugulei is a newly described freshwater red algae from Kerala, India. This article is published in Phycologia Journal (17th, June 2021). The alga was collected from Idamalayar, a major tributary of Periyar River, Kerala, India, and described based on morphology and molecular phylogeny.  This is the first study from India on Batrachospermacea e with Molecular phylogeny data. In the introduction, the authors have discussed Freshwater red algae and Batrachospermales members and on previous reports. In materials and methods the collection site with GPS, morphology, and molecular data methods. The result part has Morphology and molecular data. Maximum-likelihood (ML) tree has been generated using the rbcL and COI-5P concatenated sequence data. Morphological data are given as the description of the n

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