Development of high protein soybean experimental lines with enhanced sulfur amino acid content

2019 ◽  
Author(s):  
◽  
Alaa Alaswad

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Soybean is one of the most important field crops grown in the United States. Commercial soybeans contain about 36 - 40% protein and 18 - 20% oil, by dry weight. Most of the soybean produced in the U.S. is utilized for oil production and animal feed. Even though soybean is a rich source of protein for livestock and humans, the nutritional quality of soybean can be further enhanced if the concentration of sulfur containing amino acids, methionine and cysteine, can be increased. Previously, our lab has employed transgenic approaches to increase the nutritive value of soybean by expressing heterologous sulfur-rich seed proteins and by manipulating the sulfur assimilatory pathway. Even though modest improvement in the nutritive value has been obtained by these approaches, till now no high yielding soybean cultivars with high protein and high sulfur amino acid content has been developed. Such cultivars will be of great value for the agricultural industry especially in animal feed. In this study, I have crossed a South Korean high protein soybean line (Lee5) with a transgenic soybean line with elevated sulfur amino acid content (CS) and developed soybean experimental lines that were advanced to F4:5 seeds. Theses experimental lines exhibit both high protein and high sulfur amino acid content. The protein content of their seeds has been increased 8 to 14% while their oil content has decreased 5 to 7% when compared with CS. Furthermore, I have successfully introduced the cytosolic isoform of O-acetylserine sulfhydrylase (OASS), the overexpressed transgene, from CS into these crosses. The activity of OASS has been increased 5 to 20-fold in experimental lines when compared to Lee5.

1975 ◽  
Vol 23 (1) ◽  
pp. 24-26 ◽  
Author(s):  
Krishan C. Sikha ◽  
Rajinder P. Johari ◽  
Surinder K. Duggal ◽  
Ved P. Ahuja ◽  
A. Austin

1948 ◽  
Vol 67 (4) ◽  
pp. 552-556 ◽  
Author(s):  
W. C. Hess ◽  
E. H. Kramke ◽  
J. C. Fritz ◽  
H. W. Howard

2005 ◽  
Vol 53 (16) ◽  
pp. 6347-6354 ◽  
Author(s):  
Hari B. Krishnan ◽  
John O. Bennett ◽  
Won-Seok Kim ◽  
Ammulu Hari Krishnan ◽  
Thomas P. Mawhinney

1970 ◽  
Vol 49 (5) ◽  
pp. 1359-1361 ◽  
Author(s):  
R.S. Moreno ◽  
H.R. Wilson ◽  
B.L. Damron ◽  
R.H. Harms

Plant Science ◽  
2021 ◽  
pp. 110912
Author(s):  
Alaa A. Alaswad ◽  
Bo Song ◽  
Nathan W. Oehrle ◽  
William J. Wiebold ◽  
Thomas P. Mawhinney ◽  
...  

2021 ◽  
Author(s):  
Peter Francis Chuckran ◽  
Cody Flagg ◽  
Jeffrey Propster ◽  
William Austin Rutherford ◽  
Ella T. Sieradzki ◽  
...  

Genomic traits, such as genome size, GC content, codon usage, and amino acid content, shed insight into the evolutionary processes of bacteria and selective forces behind microbial community composition. Nutrient limitation has been shown to reduce bacterial genome size and influence nucleotide composition, yet little research has been conducted in the soil environment, and the factors which shape soil bacterial genomic traits remain largely unknown. Here we determined average genome size, GC content, codon usage, and amino acid content from 398 soil metagenomes across the United States from the National Ecological Observation Network (NEON) and observed the distribution of these traits across numerous environmental gradients. We found that genomic trait averages were most strongly related to pH, which we suggest results in both physiological constraints on growth as well as affects availability of nutrients in soil. Low pH soils had higher carbon to nitrogen ratios (C:N) and tended to have communities with larger genomes and lower GC-content, potentially a result of increased physiological stress and increased metabolic diversity. Conversely, smaller genomes with high GC content were associated with high pH and low soil carbon to nitrogen ratios, indicating potential resource driven selection against carbon-rich AT base pairs. We found that this relationship of nutrient conservation also applied to amino acid stoichiometry, where bacteria in soils with C:N ratios tended to code for amino acids with lower C:N. Together, these relationships point towards fundamental mechanisms which underpin nucleotide and amino acid selection in soil bacterial communities.


Sign in / Sign up

Export Citation Format

Share Document