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Role of genetic resources and molecular markers in Mucuna pruriens (L.) DC improvement

Published online by Cambridge University Press:  28 March 2016

N. Sathyanarayana*
Affiliation:
Department of Botany, Sikkim University, Gangtok-737 102, India
S. Mahesh
Affiliation:
Department of Biotechnology, Sir M Visvesvaraya Institute of Technology, Bangalore-562 157, India
M. Leelambika
Affiliation:
Department of Biotechnology, Sir M Visvesvaraya Institute of Technology, Bangalore-562 157, India
M. Jaheer
Affiliation:
Department of Biotechnology, Sir M Visvesvaraya Institute of Technology, Bangalore-562 157, India
R. Chopra
Affiliation:
USDA-ARS, Cropping System Research Laboratory, Lubbock, Texas 79415, USA
K. V. Rashmi
Affiliation:
Department of Biotechnology, Sir M Visvesvaraya Institute of Technology, Bangalore-562 157, India
*
*Corresponding author. E-mail: sathyan_dixit@yahoo.in
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Abstract

Mucuna pruriens (L.) DC is a tropical legume cover crop with promising nutritional and agronomic potentials. It is also a key source of 3,4 dihydroxy-L-phenylalanine (L-Dopa) – a precursor of dopamine used in the treatment of Parkinson's disease. However, lack of well-characterized germplasm plus poor accessibility to genomic resources has hindered its breeding programs. Furthermore, the cause and effect of various biotic and abiotic stresses impacting yield is also little studied. Systematic collection and evaluation of Indian germplasm by our group revealed presence of a diverse gene pool in India that can support a variety of breeding needs. The stability of L-Dopa trait across environments examined through Genotype and environment (G × E) interaction studies, as well as feasibility check on barcoding and phylogenetic analyses based on karyotype and conserved nuclear and chloroplast genes showed promising outcome. Germplasm screening for select biotic abiotic stresses identified resilient genotypes. Advances in use of DNA markers for diversity analysis, linkage map development, tagging of genes/quantitative trait loci for qualitative and quantitative traits, and progress in genomics are presented.

Information

Type
Research Article
Copyright
Copyright © NIAB 2016 
Figure 0

Table 1. General characters of Mucuna pruriens (L.) DC

Figure 1

Fig. 1. Overview on uses of M. pruriens (adopted from Bhat and Karim, 2009).

Figure 2

Fig. 2. Biosynthesis of dopamine (courtesy: Barron et al., 2010).

Figure 3

Table 2. L-Dopa variability reported in different Mucuna species

Figure 4

Fig. 3. Distribution of disease severity class for Fusarium wilt in M. pruriens germplasm (blue-var. pruriens and red-var. utilis).

Figure 5

Fig. 4. Distribution of salt tolerance in M. pruriens germplasm (blue-var. pruriens and red-var. utilis).

Figure 6

Fig. 5. Meiotic Chromosome abnormalities in different species: Laggards in M. gigantea (a) M. atropurpurea (c, f and h). Chromosome bridges in M. gigantea (b) and M. atropurpurea (d, e and g); unreduced pollens in M. bracteata (i and j).

Figure 7

Fig. 6. Location of quantitative trait loci (QTLs) for three qualitative and three quantitative traits based on combined results of SIM and CIM. The scale on the left side is the genetic distance in centiMorgan (cM), marker designations are given on the left side with distance and marker names spanning on both sides of the linkage group. QTLs are shown at the right side in vertical bars with trait names in different colours for different traits [black – seed width (SW); dark green – seed thickness (ST); blue – hundred seed weight (HSW); pink – flower colour (FC); orange – pod itchiness (PI); red – trichome colour (TC)]. The maps were drawn by the Map Chart 2.2 program. The vertical bar shows the LOD support interval and the line LOD interval of the QTL.