The Genetic Basis of Abiotic Stress Resistance in Extremophilic Fungi: The Genes Cloning and Application

Author(s):  
Shi-Hong Zhang
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jose Miguel Soriano ◽  
Pasqualina Colasuonno ◽  
Ilaria Marcotuli ◽  
Agata Gadaleta

AbstractThe genetic improvement of durum wheat and enhancement of plant performance often depend on the identification of stable quantitative trait loci (QTL) and closely linked molecular markers. This is essential for better understanding the genetic basis of important agronomic traits and identifying an effective method for improving selection efficiency in breeding programmes. Meta-QTL analysis is a useful approach for dissecting the genetic basis of complex traits, providing broader allelic coverage and higher mapping resolution for the identification of putative molecular markers to be used in marker-assisted selection. In the present study, extensive QTL meta-analysis was conducted on 45 traits of durum wheat, including quality and biotic and abiotic stress-related traits. A total of 368 QTL distributed on all 14 chromosomes of genomes A and B were projected: 171 corresponded to quality-related traits, 127 to abiotic stress and 71 to biotic stress, of which 318 were grouped in 85 meta-QTL (MQTL), 24 remained as single QTL and 26 were not assigned to any MQTL. The number of MQTL per chromosome ranged from 4 in chromosomes 1A and 6A to 9 in chromosome 7B; chromosomes 3A and 7A showed the highest number of individual QTL (4), and chromosome 7B the highest number of undefined QTL (4). The recently published genome sequence of durum wheat was used to search for candidate genes within the MQTL peaks. This work will facilitate cloning and pyramiding of QTL to develop new cultivars with specific quantitative traits and speed up breeding programs.


2014 ◽  
Vol 79 (4) ◽  
pp. 362-375 ◽  
Author(s):  
T. V. Savchenko ◽  
O. M. Zastrijnaja ◽  
V. V. Klimov

Author(s):  
Roderic Gilles C. Diabankana ◽  
Daniel M. Afordoanyi ◽  
Radik I. Safin ◽  
Rustam M. Nizamov ◽  
Lilia Z. Karimova ◽  
...  

Author(s):  
Ali Raza ◽  
Sundas Saher Mehmood ◽  
Javaria Tabassum ◽  
Raufa Batool

Author(s):  
Cassandria Tay Fernandez ◽  
Jacob Marsh ◽  
Mônica Furaste Danilevicz ◽  
Clémentine Mercé ◽  
David Edwards

Abstract This chapter discusses the application of pangenomics for molecular breeding of wheat. Pangenomes can be used by both researchers and breeders alike to develop elite wheat cultivars through the discovery and integration of genetic variations associated with agronomically beneficial traits. By providing a reference that accommodates for variation in individuals, variants whose presence and/or absence control abiotic stress resistance and yield can be identified. This tool has only become more informative as more wheat varieties are sequenced, new sequencing approaches such as long-read sequencing and genome mapping are utilized, and tools for pangenomic analysis are developed. With pangenomics, variable genes from wild wheat relatives and related species can be used to optimize wheat molecular breeding and develop improved varieties tailored for the changing global environment.


Genes ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 25 ◽  
Author(s):  
Xue Yang ◽  
Jinchi Wei ◽  
Zhihai Wu ◽  
Jie Gao

Glutathione S-transferases (GSTs)—an especially plant-specific tau class of GSTs—are key enzymes involved in biotic and abiotic stress responses. To improve the stress resistance of crops via the genetic modification of GSTs, we predicted the amino acids present in the GSH binding site (G-site) and hydrophobic substrate-binding site (H-site) of OsGSTU17, a tau class GST in rice. We then examined the enzyme activity, substrate specificity, enzyme kinetics and thermodynamic stability of the mutant enzymes. Our results showed that the hydrogen bonds between Lys42, Val56, Glu68, and Ser69 of the G-site and glutathione were essential for enzyme activity and thermal stability. The hydrophobic side chains of amino acids of the H-site contributed to enzyme activity toward 4-nitrobenzyl chloride but had an inhibitory effect on enzyme activity toward 1-chloro-2,4-dinitrobenzene and cumene hydroperoxide. Different amino acids of the H-site had different effects on enzyme activity toward a different substrate, 7-chloro-4-nitrobenzo-2-oxa-1,3-diazole. Moreover, Leu112 and Phe162 were found to inhibit the catalytic efficiency of OsGSTU17 to 7-chloro-4-nitrobenzo-2-oxa-1,3-diazole, while Pro16, Leu112, and Trp165 contributed to structural stability. The results of this research enhance the understanding of the relationship between the structure and function of tau class GSTs to improve the abiotic stress resistance of crops.


2019 ◽  
Vol 180 (1) ◽  
pp. 12-13
Author(s):  
Charlotte M.M. Gommers

2005 ◽  
Vol 45 (8) ◽  
pp. 775
Author(s):  
C. A. Kerr ◽  
B. M. Hines

This paper examines the potential for breeding stress resistance in pigs through an understanding of the physiology of the stress response and its associated genetic basis. Pigs reared in commercial units can encounter numerous concurrent stressors that can have a negative impact on performance and welfare. Stress induces physiological and behavioural responses that are multidimensional, consisting of a complex neuroendocrine and immune signalling milieu. Some stress-related genetic parameters have been identified using conventional genetic approaches applied in experimental models. However, these traits do not capture the complexity of the stress response. As a result, the molecular mechanisms underlying the variation associated with stress resistance in pigs in a commercial environment is poorly understood. Gene expression profiling is a powerful tool that can be applied to systematically elucidate stress response pathways and networks. Consequently, gene expression technologies have been applied to identify some putative stress-regulated genes. Further application of these and more traditional technologies will aid in elucidating stress resistance using gene expression as a measure of phenotypic variation at a molecular level. It is envisaged that in the future, tools for selecting for stress resistance could eventually be applied on-farm to enhance production, health and welfare status.


Sign in / Sign up

Export Citation Format

Share Document