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Flourishing end-Permian ocean [Earth, Atmospheric, and Planetary Sciences] (2015)

Schobben, M., Stebbins, A., Ghaderi, A., Strauss, H., Korn, D., Korte, C.

National Academy of Sciences

In: PNAS - Proceedings of the National Academy of Sciences

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Publication Date: 2015-08-19

Description: The end-Permian mass extinction, the most severe biotic crisis in the Phanerozoic, was accompanied by climate change and expansion of oceanic anoxic zones. The partitioning of sulfur among different exogenic reservoirs by biological and physical processes was of importance for this biodiversity crisis, but the exact role of bioessential sulfur...

Print ISSN: 0027-8424

Electronic ISSN: 1091-6490

Topics: Biology , Medicine , Natural Sciences in General

Published by National Academy of Sciences

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Biofuels. Engineering alcohol tolerance in yeast (2014)

F. H. Lam ; A. Ghaderi ; G. R. Fink ; [et al.]

American Association for the Advancement of Science (AAAS)

In: Science. 346(6205): 71-5. doi: 10.1126/science.1257859.

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Publication Date: 2014-10-04

Description: Ethanol toxicity in the yeast Saccharomyces cerevisiae limits titer and productivity in the industrial production of transportation bioethanol. We show that strengthening the opposing potassium and proton electrochemical membrane gradients is a mechanism that enhances general resistance to multiple alcohols. The elevation of extracellular potassium and pH physically bolsters these gradients, increasing tolerance to higher alcohols and ethanol fermentation in commercial and laboratory strains (including a xylose-fermenting strain) under industrial-like conditions. Production per cell remains largely unchanged, with improvements deriving from heightened population viability. Likewise, up-regulation of the potassium and proton pumps in the laboratory strain enhances performance to levels exceeding those of industrial strains. Although genetically complex, alcohol tolerance can thus be dominated by a single cellular process, one controlled by a major physicochemical component but amenable to biological augmentation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401034/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉 〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401034/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lam, Felix H -- Ghaderi, Adel -- Fink, Gerald R -- Stephanopoulos, Gregory -- R01 GM035010/GM/NIGMS NIH HHS/ -- R01-GM035010/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2014 Oct 3;346(6205):71-5. doi: 10.1126/science.1257859. Epub 2014 Oct 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Chemical Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. Whitehead Institute for Biomedical Research, Cambridge, MA, USA. ; Department of Chemical Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. ; Whitehead Institute for Biomedical Research, Cambridge, MA, USA. gfink@wi.mit.edu gregstep@mit.edu. ; Department of Chemical Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. gfink@wi.mit.edu gregstep@mit.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25278607" target="_blank"〉PubMed〈/a〉

Keywords: *Biofuels ; Cation Transport Proteins/genetics ; Cell Culture Techniques ; Cell Membrane/metabolism ; Chemical Engineering ; *Drug Resistance, Fungal/genetics ; Ethanol/*metabolism/pharmacology ; Fermentation ; Genetic Engineering ; Glucose/metabolism ; Hydrogen-Ion Concentration ; Phosphates/*metabolism ; Potassium Compounds/*metabolism ; Proton Pumps/genetics ; Proton-Translocating ATPases/genetics ; Saccharomyces cerevisiae/drug effects/genetics/*metabolism ; Saccharomyces cerevisiae Proteins/genetics ; Up-Regulation ; Xylose/metabolism

Print ISSN: 0036-8075

Electronic ISSN: 1095-9203

Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics

Published by American Association for the Advancement of Science (AAAS)

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Adaptation of safflower genotypes Carthamus tinctorius L. (1977)

Ehdaie, B. ; Ghaderi, A. ; Ghanavati, N. A.

Springer

Theoretical and applied genetics 49 (1977), S. 157-163

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ISSN: 1432-2242

Source: Springer Online Journal Archives 1860-2000

Topics: Biology

Notes: Summary Adaptation reactions of 33 genotypes of safflower Carthamus tinctorius L. were studied under 7 different climatic conditions. The genotpyes were divided into two sets. Set I consisted of 15 genotpyes selected from the local populations. Set II had 15 introduced and local varieties. Three control genotpyes, Ute, Ferio, and Local Arak, were common to both sets. Genotpye-environment interaction was not significant for Set I but it was highly significant for Set II. Three environmental indices were obtained and used in the adaptation analyses of the genotpyes in Set II. One of the environmental indices, designated EI, was dependent on the genotypes of Set II. The other two indices, designated EI-1 and EI-2, were independent of the genotpyes of Set II. The methods of Eberhart and Russell (1966) were used in analyses of adaptation by Index EI and the methods of Freeman and Perkins (1971) for Indices EI-1 and EI-2. The mean square associated with genotype-environment interaction was partitioned into two components, heterogeneity of regression and its residual, under EI-1 and EI-2. Both components were highly significant for both cases. However, the mean square of heterogeneity of regression was equal to its residual under EI-1 and even smaller than its residual under EI-2. These observations indicate that a major part of genotpye-environment interaction can not be accounted for by differences in the regressions of the individual genotypes. As well as this overall test, individual regression analyses for single genotypes were also considered. None of the genotypes had significant regression mean square under EI-1. Only two introduced genotypes had significant regression mean squares when EI-2 was used. The overall test of equality of the slopes of the regression for the genotypes of Set II was rejected at the 1% level under EI. This test indicated that genotypes of Set II were significantly different in their association with the EI. The significant differences among the genotypes of Set II were also shown by an F test of the pooled deviation mean square divided by the pooled error mean square. Individual regression analyses for single genotpyes of Set II were considered under EI. Mixed adaptation reactions were observed for different genotypes. Among 18 genotypes of Set II, regression mean squares were significant for only 10 genotpyes. Therefore, it appeared that the dependent environmental indices are more useful than the independent environmental indices when statistical theory of regression is used in the analysis of adaptation. Observations in the present study were not in agreement with the hypothesis that the relation between the performance of different genotypes in the various environments and some measure of these environments is linear or nearly so. Among the 12 introduced genotypes, only one, Ute, was identified as stable and high-yielding. Among the 15 selected from the locally adapted populations, eleven did not differ significantly from Ute in mean yield but four exceeded Ute significantly in mean productivity. The present study thus indicates that the Iranian safflower breeding project has been successful in identifying genotpyes which give high and stable yields under diverse environmental conditions. It does not indicate that introduced and exotic germplasms are unimportant in the breeding projects; it is quite possible that still more desirable genotypes can be developed by incorporating introduced genetic variability into the local germplasm.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF00290752

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Environmental response patterns in commercial classes of common bean (Phaseolus vulgaris L.) (1982)

Ghaderi, A. ; Adams, M. W. ; Saettler, A. W.

Springer

Theoretical and applied genetics 63 (1982), S. 17-22

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ISSN: 1432-2242

Keywords: Cluster analysis ; Canonical variate analysis ; Genotype × environment interaction

Source: Springer Online Journal Archives 1860-2000

Topics: Biology

Notes: Summary The yield data of 39 cultivars of diverse commercial classes of beans (Phaseolus vulgaris L.) planted in seven locations in Michigan were subjected to cluster and canonical variate analyses. The essential findings and conclusions can be summarized as follows: (1) Cluster analysis classified the cultivars into sub-sets or clusters almost identically coinciding with their commercial class designation. Canonical variate analysis completely confirmed the sub-groupings. Within class similarities were attributed to a narrow genetic base resulting from a common genetic relationship, or at least sharing of a common gene pool. (2) It was found that two clusters could possess almost identical mean (cluster mean) yields, and deviate in opposite directions over the same range of environments. (3) When total genotype × environmental interaction variance was partitioned into between and within clusters, the cluster × environment portion constituted 80% of the total. (4) These results imply that if the behavior of a given cultivar across a series of environments is known, the behavior of all other members of the class across a similar range of environments would be predictable.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF00303484

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Ghaderi, A. ; Smucker, A. J. M. ; Adams, M. W.

Springer

Euphytica 33 (1984), S. 377-385

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ISSN: 1573-5060

Keywords: Phaseolus vulgaris ; common bean ; genetic correlation ; genotype-environment interaction ; indirect selection

Source: Springer Online Journal Archives 1860-2000

Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition

Notes: Summary Parents and F2 progenies of an 8×8 diallel cross were grown under non-compacted and compacted soil conditions. Soil compaction reduced yield, pods per plant, and seeds per pod; however, an increase in seed wieght and no effect for pod length were observed. With the exception of pods per plant, the remaining traits had larger genetic variances under non-compacted soil conditions. Phenotypic correlations involving yield and related traits were similar under the two conditions. Tolerance to soil compaction and mean performance over the two soil conditions were defined. Genetic correlations in terms of: (1) the ratio of genetic variances under the stress and non-stress conditions, and (2) the correlation between performance under the two conditions, were calculated and discussed.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF00021135

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