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Molecular markers for genetic diversity studies in Jatropha (Jatropha curcas L.)

  • The molecular markers namely random amplified polymorphic DNA, amplified fragment length polymorphism, sequence-characterized amplified region, inter simple sequence repeats, simple sequence repeats and single-nucleotide polymorphism, etc. have been successfully used for genetic diversity studies in J. curcas. The assessment of genetic variations among Jatropha germplasms using molecular markers show the presence of high genetic diversity for the Central and South American regions and insignificant genetic variation from Asia and Africa. The use of molecular markers for the assessment of phylogenetic relationships among different Jatropha species has been restricted only to the well adapted and acclimatized species in India. The significant genetic variability in the genus Jatropha for vegetative and floral traits for seed oil content, productivity, toxicity (phorbol esters, curcin), fatty acid profiles, etc. has been studied in the past decade using molecular markers. Genetic enhancement of Jatropha through conventional breeding and interspecific gene transfer can be attempted by exploiting the diverse genetic resource form J. curcas and their wild species. This review focuses on the importance and use of molecular markers towards studying diversity analysis in J. curcas growing at different areas.

    Citation: Doddabhimappa R. Gangapur, Parinita Agarwal, Pradeep K. Agarwal. Molecular markers for genetic diversity studies in Jatropha (Jatropha curcas L.)[J]. AIMS Environmental Science, 2018, 5(5): 340-352. doi: 10.3934/environsci.2018.5.340

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  • The molecular markers namely random amplified polymorphic DNA, amplified fragment length polymorphism, sequence-characterized amplified region, inter simple sequence repeats, simple sequence repeats and single-nucleotide polymorphism, etc. have been successfully used for genetic diversity studies in J. curcas. The assessment of genetic variations among Jatropha germplasms using molecular markers show the presence of high genetic diversity for the Central and South American regions and insignificant genetic variation from Asia and Africa. The use of molecular markers for the assessment of phylogenetic relationships among different Jatropha species has been restricted only to the well adapted and acclimatized species in India. The significant genetic variability in the genus Jatropha for vegetative and floral traits for seed oil content, productivity, toxicity (phorbol esters, curcin), fatty acid profiles, etc. has been studied in the past decade using molecular markers. Genetic enhancement of Jatropha through conventional breeding and interspecific gene transfer can be attempted by exploiting the diverse genetic resource form J. curcas and their wild species. This review focuses on the importance and use of molecular markers towards studying diversity analysis in J. curcas growing at different areas.


    1. Introduction

    Jatropha, commonly called as physic nut, belongs to family Euphorbiaceae and comprises of 172 species of which the most primitive species is Jatropha curcas L. (2n = 22) [1]. Jatropha curcas has been recognized as an important crop for biodiesel production. The Jatropha species is perennial shrub and serves as an important wasteland crop facilitating soil conservation by protecting soil against erosion via wind and animals interference. It is widely distributed in Central and South America, Africa, India and South East Asia. The J. curcas originated in Central and South America, and distributed to other tropical countries [2]. It is mainly evolved for dryland and adapt well in limited water source. Several characteristics of J. curcas such as drought resistance, speedy growth, easy propagation and wide adaptation to soil conditions have led to the wide spread of J. curcas [3,4,5]. It has acclimatized in different agro-climatic regions because of its strong adaptation at morphological and physiological level. J. curcas is considered as the best source for restoration of ruined lands and rural development. The J. curcas seeds have semi-drying oil (32–35%) and yield biodiesel of European (EN 14214) and American (ASTM D6751) standards [3,6] via trans-esterification. J. curcas seed oil used in the production of biodiesel is eco-friendly, biodegradable, non-toxic and renewable to petroleum diesel [7,8]. It can be used as a traditional vegetable oil or trans-esterified to produce biodiesel for use in standard diesel engines. These properties of J. curcas have fascinated globally to develop a sustainable alternative feedstock for biodiesel production [9,10]. After oil extraction, the remaining seed cake can be used as organic fertilizer. Seed cake can be also used for direct combustion or charcoal conversion [11]. J. curcas has been used for the isolation and production of pharmaceutical and pesticides in China [12]. Anti-viral (against herpesvirus Ⅰ and Ⅱ) and antibacterial (Staphylococcus aureus and Monilia albicans) skin disinfectors are commercialized [13]. Additional products from J. curcas are A2-Jetfuel kerosene and polyol biodegradable foam for use in packaging and insulation industry, paint from the bark [14].

    DNA (or molecular) markers are used predominantly due to their abundance, plentiful in number and are unaltered by environmental factors and/or the plant developmental stage. Molecular markers develop from different classes of DNA mutations such as rearrangements (insertions or deletions), substitution (point mutations), or errors in replication of tandemly repeated DNA. Molecular markers have several applications in plant breeding such as (ⅰ) evaluation and selection of breeding materials for genetic diversity, parental selection, cultivar identity and assessment of cultivar purity, (ⅱ) trait pyramiding, and (ⅲ) backcrossing.

    Molecular markers have played an important role in the detection of unique alleles between two or more species which can be applied in the species characterization and improvement. Molecular markers have been abundantly used to evaluate biodiversity, phylogenetic relationships, construction of genetic linkage maps and in tagging and mapping of useful traits. Currently, genetic diversity studies in the genus Jatropha are focused on J. curcas and few wild species that are commonly distributed in India. Different types of single and multi-locus molecular markers such as random amplified polymorphic DNA (RAPD), amplified fragment length polymorphism (AFLP), sequence-characterized amplified region (SCAR), inter simple sequence repeats (ISSRs), simple sequence repeats (SSRs) and single-nucleotide polymorphism (SNPs), etc. were used for assessment of genetic diversity in the available germplasm. This review mainly focus on the different studies carried out on genetic variability present in the Jatropha species other than Central and South-American and African regions.


    2. Genetic diversity studies in J. curcas using Molecular Markers


    2.1. Amplified fragment length polymorphism (AFLP)

    The AFLP is trustworthy, high throughput and less expansive. Many researchers from India, China, Brazil and Mexico used AFLP markers for genetic diversity analysis in J. curcas accessions and reported the presence of low to high genetic variability. Some researchers reported that germplasms from Mexico and Central America have high genetic diversity by using AFLP markers (Table 1). The different accessions from Mexico and Central America regions with high oil content and other characters are shown link with its productivity. These genetically contrary germplasm may provide critical resources for future genetic improvement of J. curcas. Zhang et al. [15] studied the genetic diversity within 240 samples by AFLP from three Asian countries, two African countries and different geographical regions in China. The germplasm of J. curcas showed a narrow genetic diversity in China and Southeast Asia with molecular polymorphism of 14.8%. Genotypic and phenotypic evaluation of a total of 182 accessions from Asia (91), Africa (35), South America (9) and Central America (47) was carried out to estimate the genetic variation. A very large genetic variation by DNA-marker in the pool of Central American accessions was observed as compared from other regions. According to Luis et al. [16] the Central American accessions can be considered as the most important source for plant breeding as they have highest phenotypic variation. Further, it is also stated that Mexico and Central America have highest genetic diversity in J. curcas than in other parts of the world because the Mexico and Central America (Mesoamerican region) may be a centre of origin and diversity of J. curcas [17]. The genetic diversity study consisted of 114 accessions from 15 populations of 4 different species: J. curcas, J. costaricensis, J. gossypifolia and J. stevensii collected from Costa Rica were analysed by AFLP. The results showed that the species that obtained the highest average of polymorphic loci was J. curcas, followed by J. gossypifolia, J. costaricensis, and J. stevensii [18]. A broad genetic base of 48 J. curcas germplasm from six different states in India was reported [19]. Genetic and fatty acid variability in four datasets of accessions and pre-breeding lines of J. curcas was analysed. The results revealed that both genetic as well as fatty acid variability was significantly higher in the newly created pre-breeding lines and the level of fatty acid variability in these datasets was different and highly correlated to the level of their genetic variability as revealed by AFLP markers [20].

    Table 1. Genetic Diversity of J. curcas by using AFLP Marker.
    Sl. No. No. of accessions studied Country/Region Trait No. of primers used Reference/s
    1 58 China and Malaysia Genetic Diversity 7 [27]
    2 7 India Genetic Diversity 56 [8]
    3 38 India, Nigeria and Thailand Genetic Diversity 32 [34]
    4 48 India Genetic Diversity 7 [19]
    5 5 China, Indonesia, Suriname, Tanzania and India Agronomic traits 23 [35]
    6 28 India Genetic Diversity 30 [36]
    7 38 China and Indonesia. Genetic diversity 9 [37]
    8 134 Chiapas, Mexico: Soconusco, Isthmus, Center, Frailesca and Border Genetic Diversity 209 [17]
    9 88 Mexico Genetic diversity on floral traits. 6 [38]
    10 240 Africa, China and Asia Genetic Diversity 6 [15]
    11 182 Asia, Africa, South America and Central America Oil yield 20 [16]
    12
    13
    14
    114 (accessions from 15 populations of 4 different species of J. curcas.
    65 (J. curcas accessions (13), BC1 (28), BC1F2 (12) and single seeds (12). The BC1, BC1F2 and single seed dataset were derived from an interspecific cross between J. curcas and J. integerrima)
    6 populations amounting to a total number of 70 genotypes of Jatropha curcas L. originating from Africa (Senegal, Mali, Burkina Faso and Madagascar)
    Costa Rica
    India
    Africa
    Agronomic Traits
    Fatty acid composition
    Genetic Diversity
    3
    4
    2
    [18]
    [20]
    [39]
     | Show Table
    DownLoad: CSV

    2.2. Randomly amplified polymorphic DNA (RAPD)

    The RAPD technique is simple, rapid, low-cost and can be deployed even in the absence of any prior information related the genome or DNA of the plant. The RAPD technique has been used for assessment of genetic diversity for J. curcas (Table 2) and has revealed that low to moderate level of genetic diversity of Indian germplasms. Assessment of genetic diversity among 43 germplasm collected from different regions in India showed moderate level of genetic variation, however, wide genetic variation was observed between the Indian and Mexican genotypes [21]. Hybrid conformity using RAPD markers was carried out for a backcross involving J. curcas and J. integerrima, thereby, indicating the potential of employing the RAPD analysis for pre-breeding and genetic enhancement of J. curcas through interspecific hybridization [22]. A narrow genetic diversity in 192 J. curcas accessions of Brazil was revealed by using RAPD markers [23].

    Table 2. Genetic Diversity of J. curcas by using RAPD Marker.
    Sl. No. No. of accessions studied Country/Region Trait No. of primers used Reference/s
    1 43 India and Mexico Genetic Diversity 400 [21]
    2 18 India Genetic Diversity 11 [40]
    3 12 India Genetic Diversity 26 [41]
    4 13 India Genetic Diversity 20 [42]
    5 7 India Genetic Diversity 5 [43]
    6 34 accessions comprising eight agronomically important Jatropha species India Agronomic traits 100 [22]
    7 26 India Genetic Diversity 55 [44]
    8 7 India Genetic Diversity 180 [8]
    9 38 India, Nigeria and Thailand Genetic Diversity 10 [45]
    10 19 Mexico, South America, Asia and Africa Genetic Diversity 10 [5]
    11 40 India Genetic Diversity 50 [46]
    12 28 India Genetic Diversity 52 [35]
    13 192 Brazil Genetic Diversity 96 [23]
    14 10 India Genetic Diversity 43 [47]
    15 24 China Genetic Diversity 5 [48]
    16 4 India Genetic Diversity 13 [49]
    17 160 Kenya Genetic Diversity 10 [4]
    18 48 Malaysia Genetic Diversity 8 [50]
    19
    20
    29
    24
    India
    Indonesia
    Genetic Diversity
    Genetic Diversity
    47
    22
    [51]
    [52]
     | Show Table
    DownLoad: CSV

    The genetic diversity and genetic structure analysis of 160 individuals from eight Kenya populations, suggested that the Kenya germplasms have a broad genetic base and are therefore, important and useful for breeding programmes of Jatropha [4].


    2.3. Inter simple sequence repeats (ISSRs)

    The ISSR analysis, is technically simple, it has been used for evaluating the genetic variation and genetic relatedness of the Jatropha species and high level of genetic variation is predicted in Jatropha by using ISSR markers (Table 3). The genetic variability among 332 J. curcas cultivated accessions from Brazil were investigated using ISSR primers revealed high genetic diversity of J. curcas at species level [24]. A high level of genetic diversity in 224 J. curcas accessions in China was reported based on ISSR molecular profiles [25]. Genetic diversity analysis of J. curcas accessions from Mexico revealed a high genetic diversity in germplasm [26]. Characterization of Jatropha species occurring in India is using nuclear and organelle specific primers for supporting interspecific gene transfer. The J. tanjorensis is considered as a natural hybrid between J. gossypifolia and J. curcas via ISSR markers [22].

    Table 3. Genetic Diversity of J. curcas by using ISSR Marker.
    Sl. No. No. of accessions studied Country/Region Trait No. of primers used Reference/s
    1 43 India and Mexico Genetic Diversity 100 [21]
    2 9 China Genetic Diversity 10 [53]
    3 13 India Genetic Diversity 25 [42]
    4 34 accessions comprising eight agronomically important Jatropha species India Agronomic traits 100 [22]
    5 11 India Genetic Diversity 9 [54]
    6 19 Mexico, South America, Asia and Africa Genetic Diversity 6 [5]
    7 224 China and Myanmar Genetic Diversity 100 [25]
    8 10 India Genetic Diversity 12 [55]
    9 17 India and Zimbabwe Genetic Diversity 13 [51]
    10 24 China Genetic Diversity 12 [48]
    11 332 Brazil Genetic Diversity 32 [24]
    12 39 accessions with six different Jatropha sps. and the last and most distinct group was Ricinus communis.) Mexico, China, Vietnam and Thailand Genetic Diversity 86 [26]
    13 16 Malaysia Genetic Diversity 8 [9]
    14
    15
    16
    17
    18
    29
    24
    66
    10
    24
    India
    Indonesia
    Brazil
    Brazil
    Mexico
    Genetic Diversity
    Genetic Diversity
    Genetic variability
    Genetic Diversity
    Genetic Diversity
    25
    9
    10
    9
    6
    [29]
    [52]
    [56]
    [57]
    [58]
     | Show Table
    DownLoad: CSV

    2.4. Simple sequence repeats (SSRs)

    The SSRs (microsatellites), with their larger number and immense potential for variation, form an indispensable component of genetic diversity studies. There is a wide scope and utility for these SSR markers towards diversity estimation and marker assisted breeding of J. curcas (Table 4). A total of 182 accessions were evaluated at genetic and phenotypic level using SSRs for genetic diversity assessment revealed moderate diversity [16]. Low genetic diversity was recorded among 192 J. curcas accessions collected from different geographical regions throughout Brazil using SSR markers [23]. Very low genetic diversity was observed among the 58 accessions of J. curcas collected across China as out 17 genomic SSRs, only one was polymorphic [27]. Pamidimarri DVNS et al. [28] analysed 12 microsatellite markers, and found seven polymorphic markers between the toxic and non-toxic varieties at molecular level.

    Table 4. Genetic Diversity of J. curcas by using SSR Marker.
    Sl. No. No. of accessions studied Country/Region Trait No. of primers used Reference/s
    1 58 China and Malaysia Genetic Diversity 17 [27]
    2 7 India Genetic Diversity 12 [28]
    3 19 Mexico, South America, Asia and Africa Genetic Diversity 10 [5]
    4 192 Brazil Genetic Diversity 6 [23]
    5 41 Brazil Genetic Diversity 9 [59]
    6
    7
    29
    4
    Mexico, South America and Africa 2 toxic (Africa and South America)
    2 Nontoxic (Mexico)
    Toxic trait
    Phorbol esters
    40
    5
    [60]
    [61]
    8
    9
    10
    182
    93
    158
    Asia, Africa, South America and Central America
    Mexico
    Ecuador
    Oil yield
    Genetic Diversity
    Genetic Diversity
    29
    10
    10
    [16]
    [62]
    [63]
     | Show Table
    DownLoad: CSV

    2.5. Expressed sequence tag (EST)-SSRs

    The EST-SSRs markers are important to investigate genetic diversity of J. curcas. The SSR (including EST-SSRs) have predicted lower genetic diversity of J. curcas germplasm as compared to AFLP, RAPD and ISSR makers in several research reports (Table 5). This is SSR markers identify the variation in repeat regions only whereas entire genome is used by AFLP, RAPD and ISSR makers for diversity analysis. Moderate level of genetic diversity was observed among 45 J. curcas accessions using EST-SSRs [29]. The genetic relationships determined by EST-SSRs among 25 J. curcas accessions were grouped into three main clusters which reveals low genetic diversity among accessions [30]. Out of 432 EST-SSR primer pairs, 269 were polymorphic among the Jatropha and Jatropha-related species [31].

    Table 5. Genetic Diversity of J. curcas by using EST-SSR Marker.
    Sl. No. No. of accessions studied Country/Region Trait No. of primers used Reference/s
    1 45 Indonesia, China, Grenada and South America Genetic Diversity 187 EST-SSR and 54 Genomic SSR [29]
    2 25 India Genetic Diversity 12080 Sequences [30]
    3 2 J.curcas and and four Jatropha-related species. Thailand Phorbol esters 432 Sequences [31]
    4 50 Costa Rica Genetic Diversity 21 [64]
     | Show Table
    DownLoad: CSV

    2.6. Single-nucleotide polymorphisms (SNPs)

    In recent years, the employment of SNP markers towards assessing population genetic structure in different species have increased. The unavailability of DNA sequence information restricts the use of SNPs for assessing the population genetic structure of the diverse J. curcas accessions. As SNPs show the most abundant source of genetic polymorphism, there is an immediate need to develop SNP markers and use them in various studies in J. curcas (Table 6). A narrow level of genetic diversity was observed among 148 global collections of J. curcas lines using SNPs [32]. The genetic diversity analysis among 273 J. curcas accessions using SNP markers revealed the presence of low genetic diversity [33]. Twenty candidate SNPs were identified from J. curcas accessions having low and high phorbol esters (PEs), and interestingly, one gene involved PE biosynthesis pathway was also identified [31].

    Table 6. Genetic Diversity of J. curcas by using SNP Marker.
    Sl. No. No. of accessions studied Country/Region Trait No. of primers used Reference
    1 148 India, North America, South America and Africa Oil yield 103 [32]
    2 273 Africa, Asia and America Genetic Diversity 8 [33]
    3 2 J.curcas and four Jatropha-related species. Thailand Phorbol esters 20 [31]
     | Show Table
    DownLoad: CSV

    3. Conclusions

    The review suggests that the analysis of J. curcas germplasm via different molecular markers have led to identification of low genetic diversity of accessions in the Asian region and also a close clustering of African and Asian accessions highlighting the existence of a common ancestor. The low genetic base of the African and Asian accessions could be attributed to less introduction from other areas, the prevelance of asexual reproduction and/or occurrence of apomix. According to the [2], J. curcas distribution and spread at the tropical belt was via the Cape Verde Islands, which was further confirmed by analysing diversity employing various molecular markers. The South American, Mexican and Meso-American regions show the existence of rich allelic diversity with useful and novel genes. These accessions can be an important resource for improving genetic base of J. curcas. Although molecular markers suggest variations, however, only limited quantitative genetic variability is predicted [27]. Hence, detailed evaluation of molecular diversity is the need of the hour, to identify divergent material for molecular breeding, construction of linkage maps, diversity analysis and QTL/association mapping for J. curcas.


    Contributions by authors

    All authors have equally contributed towards writing and have read and finalized the MS.


    Acknowledgements

    The authors wish to thank CSIR for funding the project MLP 0014. The authors also wish to thank the anonymous reviewers for critically evaluating the manuscript and providing valuable suggestions which helped in refining the manuscript. This manuscript bears PRIS registration no. 107/2017 of CSIR-CSMCRI.


    Conflict of interest

    The authors declare there is no conflict of interest.


    [1] Dehgan B, Webster GL (1979) Morphology and infrageneric relationships of the genus Jatropha (Euphorbiaceae). University of California Publications in Botany 74: 1–73.
    [2] Heller J, Physic Nut-Jatropha curcas L. Promoting the Conservation and use of Underutilized and Neglected Crops. 1. International Plant Genetic Resources Institute, Rome, Italy, 1996. Available from: http://www.ipgri.cgiar.org/ publications/pdf/161.pdf.
    [3] Jones N, Miller JH (1991) Jatropha curcas-a multipurpose species for problematic sites. Land Resources Series-Asia Technical Department, World Bank 1: 1–12.
    [4] Machua J, Muturi G, Omondi SF, et al. (2011) Genetic diversity of Jatropha curcas L. populations in Kenya using RAPDs molecular markers: Implication to plantation establishment. Afr J Biotechnol 10: 3062–3069.
    [5] Ambrosi DG, Galla G, Purelli M, et al. (2010) DNA Markers and FCSS analyses shed light on the genetic diversity and reproductive strategy of Jatropha curcas L.. Diversity 2: 810–836. doi: 10.3390/d2050810
    [6] Wood D (2007) Target properties for biofuels in Thailand. In: Keith SJ, Wood D, Pongmanee T, editors, Proceedings of the International Technical Workshop on Feasibility of Non-Edible Oilseed Crops for Biofuel Production, 25–27 May, Chiang Rai, Thailand.
    [7] Berchmans HJ, Hirata S (2008) Biodiesel production from crude Jatropha curcas L. Seed oil with a high content of free fatty acids. Bioresour Technol 99: 1716–1721.
    [8] Pamidimarri DVNS, Pandya N, Reddy MP, et al. (2009) Comparative study of interspecific genetic divergence and phylogenic analysis of genus Jatropha by RAPD and AFLP. Mol Biol Rep 36: 901–907. doi: 10.1007/s11033-008-9261-0
    [9] Noor Camellia NA, Thohirah Lee A, Abdullah NAP (2012) Genetic relationships and diversity of Jatropha curcas accessions in Malaysia. Afr J Biotechnol 11: 3048–3054.
    [10] Fairless D (2007) Biofuel: the little shrub that could: may be. Nature 499: 652–655.
    [11] Anand KGV, Kubavat D, Trivedi K, et al. (2015) Long-term application of Jatropha cake promotes seed yield by enhanced carbon sequestration, microbial biomass and enzymatic activity in soils of semi-arid tropical wastelands. Eur J Soil Biol 69: 57–65. doi: 10.1016/j.ejsobi.2015.05.005
    [12] Xu Y, Tang L, Wang SH, et al. (2007) The research on comprehensive utilization of Jatropha curcas. In: International Workshop on the Development of the JCL Industry. 29–31 October 2007, China; 55.
    [13] Chen F (2007) Advances in Jatropha industry research and development. In: International Workshop on the Development of the JCL Industry. 29–31, Hainan, China; 7–8.
    [14] Jansen R (2008) Jatropha for investors. In: Jatropha International Congress, 17–18 December, Singapore; K5.
    [15] Zhang Z, Guo X, Lui B, et al. (2011) Genetic diversity and genetic relationship of Jatropha curcas between China and Southeast Asian revealed by amplified fragment length polymorphisms. Afr J Biotechnol 10: 2825–2832. doi: 10.5897/AJB10.838
    [16] Luis RMO, Andres FTS, Raymond EEJ, et al. (2014) High level of molecular and phenotypic biodiversity in Jatropha curcas from Central America compared to Africa, Asia and South America. BMC Plant Biol 14: 77. doi: 10.1186/1471-2229-14-77
    [17] Ovando-Medina I, Sánchez-Gutiérrez A, Adriano-Anaya L, et al. (2011) Genetic Diversity in Jatropha curcas Populations in the State of Chiapas, Mexico. Diversity 3: 641–659. doi: 10.3390/d3040641
    [18] Roberto A, Elmer GD, Marta VM, et al. (2015) Genetic Diversity Analysis of Jatropha Species from Costa Rica Using AFLP Markers. Am J Plant Sci 6: 2426–2438. doi: 10.4236/ajps.2015.614245
    [19] Tatikonda L, Wani PS, Kannan S, et al. (2009) AFLP-based molecular characterization of an elite germplasm collection of Jatropha curcas L., biofuel plant. Plant Sci 176: 505–513.
    [20] Pratima S, Md Aminul I, Madan SN, et al. (2015) Analysis of genetic diversity and fatty acid composition in a prebreeding material of Jatropha. J Plant Biochem Biotechnol 25: 111–116.
    [21] Basha SD, Sujatha M (2007) Inter and intra-population variability of Jatropha curcas L. characterized by RAPD and ISSR markers and development of population-specific SCAR markers. Euphytica 156: 375–386.
    [22] SD Basha, M Sujatha (2009) Genetic analysis of Jatropha species and interspecific hybrids of Jatropha curcas using nuclear and organelle specific markers. Euphytica 168: 197–214. doi: 10.1007/s10681-009-9900-0
    [23] Rosado TB, Laviola BG, Faria DA, et al. (2010) Molecular markers reveal limited genetic diversity in a large germplasm collection of the biofuel crop Jatropha curcas L. in Brazil. Crop Sci 50: 2372–2382.
    [24] Grativol C, Lira Medeiros CDF, Hemerly AS, et al. (2011) High efficiency and reliability of inter-simple sequence repeats (ISSR) markers for evaluation of genetic diversity in Brazilian cultivated Jatropha curcas L. accessions. Mol Biol Rep 38: 4245–4256. doi: 10.1007/s11033-010-0547-7
    [25] Cai Y, Sun D, Wu G, et al. (2010) ISSR based genetic diversity of Jatropha curcas germplasm in China. Biomass Bioenergy 34: 1739–1750. doi: 10.1016/j.biombioe.2010.07.001
    [26] Tanya P, Taeprayoon P, Hadkam Y, et al. (2011) Genetic diversity among Jatropha and Jatropha related species based on ISSR markers. Mol Biol Rep 29: 252–264. doi: 10.1007/s11105-010-0220-2
    [27] Sun QB, Li LF, Li Y, et al. (2008) SSR and AFLP markers reveal low genetic diversity in the biofuel plant Jatropha curcas in China. Crop Sci 48: 1865–1871. doi: 10.2135/cropsci2008.02.0074
    [28] Pamidimarri DVNS, Singh S, Mastan SG, et al. (2009) Molecular characterization and identification of markers for toxic and non-toxic varieties of Jatropha curcas L. using RAPD, AFLP and SSR markers. Mol Biol Rep 36: 1357–1364.
    [29] Wen M, Wang H, Xia Z, et al. (2010) Development of EST-SSR and genomic-SSR markers to assess genetic diversity in Jatropha curcas L. BMC Res Notes 3: 42. doi: 10.1186/1756-0500-3-42
    [30] Hemant KY, Alok R, Mehar HA, et al. (2011) EST-derived SSR markers in Jatropha curcas L.: development, characterization, polymorphism, and transferability across the species/genera. Tree Genet Genomes 7: 207–219.
    [31] Kularb L, Patcharin T, Prakit S, et al. (2015) De novo Transcriptome Analysis of Apical Meristem of Jatropha spp. Using 454 Pyrosequencing Platform, and Identification of SNP and EST-SSR Markers. Plant Mol Biol Rep 4: 786–793.
    [32] Priya G, Asif I , Shrikant M, et al. (2012) Discovery and use of single nucleotide polymorphic (SNP) markers in Jatropha curcas L. Mol Breed 30: 1325–1335. doi: 10.1007/s11032-012-9719-6
    [33] Daniele T, Eleni G, Ezzeddine S, et al. (2015) Assessment of genetic diversity in different accessions of Jatropha curcas. Ind Crops Prod 75: 35–39. doi: 10.1016/j.indcrop.2015.06.051
    [34] Pecina-Quintero V, Anaya JL, Zamarripa A, et al. (2011) Molecular characterisation of Jatropha curcas L. genetic resources from Chiapas, Me´xico through AFLP markers. Biomass Bioenergy 35: 1897–1905.
    [35] Yi C, Zhang S, Liu X, et al. (2010) Does epigenetic polymorphism contribute to phenotypic variances in Jatropha curcas L.? BMC Plant Biol 10: 259.
    [36] Pamidimarri DVNS, Mastan SG, Rahman H, et al. (2010) Molecular characterization and genetic diversity analysis of Jatropha curcas L. in India using RAPD and AFLP analysis. Mol Biol Rep 37: 2249–2257.
    [37] Shen JL, Jia XN, Ni HQ, et al. (2010) AFLP analysis of genetic diversity of Jatropha curcas grown in Hainan, China. Trees 24: 455–462. doi: 10.1007/s00468-010-0413-1
    [38] Pecina-Quintero V, Anaya-López JL, Zamarripa-Colmenero A, et al. (2014) Genetic structure of Jatropha curcas L. in Mexico and probable center of origin. Biomass Bioenergy 60: 147–155.
    [39] Konan NO, Nacoulima LN, Diouf FH (2018) AFLP Analysis of Genetic Diversity Among Different Jatropha curcas L. Genotypes from Africa and Ecuador. Tropicultura 36: 11–22.
    [40] Ranade SA, Srivastava AP, Rana TS, et al. (2008) Easy assessment of diversity in Jatropha curcas L. plants using two single-primer amplification reaction (SPAR) methods. Biomass Bioenergy 32: 533–40.
    [41] Ganesh Ram S, Parthiban KT, Kumar RS, et al. (2008) Genetic diversity among Jatropha species as revealed by RAPD markers. Genet Resour Crop Evol 55: 803–809. doi: 10.1007/s10722-007-9285-7
    [42] Gupta S, Srivastava M, Mishra GP, et al. (2008) Analogy of ISSR and RAPD markers for comparative analysis of genetic diversity among different Jatropha curcas genotypes. Afr J Biotechnol 7: 30–43.
    [43] Abdulla JM, Janagoudar BS, Biradar DP, et al. (2009) Genetic diversity analysis of elite Jatropha curcas (L.) genotypes using randomly amplified polymorphic DNA markers. Karnataka J Agric Sci 22: 293–295.
    [44] Kumar RV, Tripathi YK, Shukla P, et al. (2009) Genetic diversity and relationships among germplasm of Jatropha curcas L. revealed by RAPDs. Trees 23: 1075–1079.
    [45] Popluechai S, Breviario D, Mulpuri S, et al. (2009) Narrow Genetic and Apparent Phenetic Diversity in Jatropha curcas: Initial Success with Generating Low Phorbol Ester Interspecific Hybrids. Nature Proceedings, 1–44.
    [46] Ikbal K, Boora S, Dhillon RS (2010) Evaluation of Jatropha curacs L. using RAPD markers. Indian J Biotechnol 9: 50–57.
    [47] Subramanyam K, Muralidhara RD, Devanna N, et al. (2010) Evaluation of genetic diversity among Jatropha curcas L. by RAPD analysis. Indian J Biotechnol 9: 283–288.
    [48] Chen K, Ren P, Ying C, et al. (2011) Genetic relationships among Jatropha curcas L. clones from Panzhihua, China as revealed by RAPD and ISSR. Afr J Agric Res 6: 2582–2585.
    [49] Leela T, Naresh B, Srikanth RM, et al. (2011) Morphological, physico-chemical and micropropagation studies in Jatropha curcas L. and RAPD analysis of the regenerants. Appl Energy 88: 2071–2079.
    [50] Rafii MY, Shabanimofrad M, Puteri-Edaroyati MW, et al. (2012) Analysis of the genetic diversity of physic nut, Jatropha curcas L. accessions using RAPD markers. Mol Biol Rep 39: 6505–6511.
    [51] Varsha KK, Sumita K, Kothari SL (2012) Characterization of genetic diversity in Jatropha curcas L. germplasm using RAPD and ISSR markers. Indian J Biotechnol 11: 54–61.
    [52] Darmawan S, Sri Hartati RR, Asep S, et al. (2017) Genetic diversity of Indonesian physic Nut (J. curcas) based on molecular marker. Agrivita J Agril Sci 39: 160–171.
    [53] He W, Guo L, Wang L, et al. (2007) ISSR analysis of genetic diversity of Jatropha curcas L. Chinese J Appl Envir Biol 13: 466–470.
    [54] Senthil Kumar R, Parthiban KT, Govinda Rao M (2009) Molecular characterization of Jatropha genetic resources through inter simple sequence repeat (ISSR) markers. Mol Biol Rep 36: 1951–1956. doi: 10.1007/s11033-008-9404-3
    [55] Mittal N, Dubey AK (2010) A novel set of highly polymorphic chloroplast microsatellite and ISSR for the biofuel crop Jatropha curcas. Eurasia J Biosci 4: 119–131.
    [56] Díaz BG, Argollo DM, Franco MC, et al. (2017) High genetic diversity of Jatropha curcas assessed by ISSR. Genet Mol Res 16: gmr16029683.
    [57] Ribeiro DO, Silva-Mann R, Alvares-Carvalho SV, et al. (2017) Genetic variability in Jatropha curcas L. from diallel crossing. Genet Mol Res 16: gmr16029651.
    [58] Juan USV, Neith P, Guadalupe LP, et al. (2018) Behavior of genetic diversity in F1 crosses of selected accessions of J. curcas. Ind Crops Prod 122: 669–674. doi: 10.1016/j.indcrop.2018.05.029
    [59] Bressan EDA, Scotton DC, Ferreira RR, et al. (2012) Development of microsatellite primers of Jatropha curcas (Euphorbiaceae) and transferability to congeners. Am J Bot 99: 237–239. doi: 10.3732/ajb.1100532
    [60] Massimo V, Steluta R, Mario B (2013) Evaluation of genetic diversity between toxic and non toxic Jatropha curcas L. accessions using a set of simple sequence repeat (SSR) markers. Afr J Biotechnol 12: 265–274.
    [61] Massimo V, Steluta R, Claudio F, et al. (2014) Study on genetic control for phorbol esters accumulation in Jatropha curcas genotypes. Plant Cel Biotechnol Mol Bi 15: 1–10.
    [62] Salvador-Figueroa M, Magan˜a-Ramos J, Va´zquez-Ovando JA, et al. (2015) Genetic diversity and structure of Jatropha curcas L. in its centre of origin. Plant Genet Resour C 13: 9–17.
    [63] Heriberto M, Javier M, Julio L, et al. (2017) Genetic variability in the collection of physic nut (Jatropha Curcas L.) Of the National Institute of Agricultural Research of Ecuador using microsatelite markers. Revista Tecnica 17: 18–29.
    [64] Marcela VM, Eric JF, Eduardo JH, et al. (2017) Molecular characterization and genetic diversity of Jatropha curcas L. in Costa Rica. Peer J 5: e2931.
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