LDR | | 02022nmm uu200421 4500 |
001 | | 000000331921 |
005 | | 20240805165639 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438174948 |
035 | |
▼a (MiAaPQ)AAI10826488 |
035 | |
▼a (MiAaPQ)washington:18590 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 610 |
100 | 1 |
▼a Khakhar, Arjun. |
245 | 10 |
▼a Using Synthetic Signaling to Reprogram Plants. |
260 | |
▼a [S.l.] :
▼b University of Washington.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 117 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
500 | |
▼a Advisers: Eric Klavins |
502 | 1 |
▼a Thesis (Ph.D.)--University of Washington, 2018. |
520 | |
▼a To engineer plants that can address the environmental challenges posed to agriculture we need to be able to rationally design their developmental and stress response phenotypes. To achieve this larger goal, we first need to understand the native |
520 | |
▼a This understanding can be leveraged to design novel synthetic systems to either alter or replace these mechanisms to achieve the phenotypes of interest. The field of synthetic biology has made great strides in both developing strategies to reeng |
520 | |
▼a Here I describe how I used synthetic signaling systems at a range of scales to both learn more about native plant signaling as well as to develop programmable phenotypes in plants. The first few chapters cover work to prototype synthetic signali |
590 | |
▼a School code: 0250. |
650 | 4 |
▼a Bioengineering. |
650 | 4 |
▼a Plant sciences. |
690 | |
▼a 0202 |
690 | |
▼a 0479 |
710 | 20 |
▼a University of Washington.
▼b Bioengineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0250 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998894
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |