High-resolution genome-wide scan of genes, gene-networks and cellular systems impacting the yeast ionome.
High-resolution genome-wide scan of genes, gene-networks and cellular systems impacting the yeast ionome.
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DOI：
10.1186/1471-2164-13-623
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发表时间：
2012-11-14
期刊：
影响因子：
4.4
通讯作者：
Salt DE
中科院分区：
文献类型：
--
作者：
Yu D;Danku JM;Baxter I;Kim S;Vatamaniuk OK;Vitek O;Ouzzani M;Salt DE
To balance the demand for uptake of essential elements with their potential toxicity living cells have complex regulatory mechanisms. Here, we describe a genome-wide screen to identify genes that impact the elemental composition (‘ionome’) of yeast Saccharomyces cerevisiae. Using inductively coupled plasma – mass spectrometry (ICP-MS) we quantify Ca, Cd, Co, Cu, Fe, K, Mg, Mn, Mo, Na, Ni, P, S and Zn in 11890 mutant strains, including 4940 haploid and 1127 diploid deletion strains, and 5798 over expression strains. We identified 1065 strains with an altered ionome, including 584 haploid and 35 diploid deletion strains, and 446 over expression strains. Disruption of protein metabolism or trafficking has the highest likelihood of causing large ionomic changes, with gene dosage also being important. Gene over expression produced more extreme ionomic changes, but over expression and loss of function phenotypes are generally not related. Ionomic clustering revealed the existence of only a small number of possible ionomic profiles suggesting fitness tradeoffs that constrain the ionome. Clustering also identified important roles for the mitochondria, vacuole and ESCRT pathway in regulation of the ionome. Network analysis identified hub genes such as PMR1 in Mn homeostasis, novel members of ionomic networks such as SMF3 in vacuolar retrieval of Mn, and cross-talk between the mitochondria and the vacuole. All yeast ionomic data can be searched and downloaded at http://www.ionomicshub.org. Here, we demonstrate the power of high-throughput ICP-MS analysis to functionally dissect the ionome on a genome-wide scale. The information this reveals has the potential to benefit both human health and agriculture.
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影响因子：
12.3
作者：
Eide DJ;Clark S;Nair TM;Gehl M;Gribskov M;Guerinot ML;Harper JF
通讯作者：
Harper JF
影响因子：
5.3
作者：
CYERT, MS;THORNER, J
通讯作者：
THORNER, J
影响因子：
4.8
作者：
Liu, XF;Supek, F;Culotta, VC
通讯作者：
Culotta, VC
影响因子：
3.4
作者：
Forment, J;Mulet, JM;Serrano, R
通讯作者：
Serrano, R
影响因子：
4.5
作者：
Jin, Yong Hwan;Dunlap, Paul E.;McBride, Sandra J.;Al-Refai, Hanan;Bushel, Pierre R.;Freedman, Jonathan H.
通讯作者：
Freedman, Jonathan H.