Dataset Information

Assessment of genetic diversity, population structure and sex identification in dioecious crop, Trichosanthes dioica employing ISSR, SCoT and SRAP markers.

ABSTRACT: Twenty inter-simple sequence repeat (ISSR) and twenty two start codon targeted (SCoT) primers were employed to analyze genetic diversity and population structure among 52 Trichosanthes dioica Roxb. accessions collected from nine different eco-geographical regions of India. ISSR markers proved to be more informative in genetic diversity assessment and produced higher mean number of polymorphic bands (15.25 with 95.96% polymorphism) and polymorphic information content (PIC) value (0.47) compared to SCoT markers (12.55 polymorphic bands with 92.20% polymorphism and PIC: 0.45). Total genetic diversity (Ht) and genetic diversity within populations (Hs) in T. dioica accessions was found to be very high (0.45 and 0.43, respectively). AMOVA analysis also revealed higher genetic variation within populations (81%) than among them (19%). Among different T. dioica populations, very low genetic differentiation (Gst: 0.05) and high gene flow (Nm: 9.32) were observed. T. dioica populations of Bihar state were found to be highly diverse and Kolkata and Cuttack populations were least diverse. T. dioica male plants were more variable than females. UPGMA, Neighbor-Joining and population structure analyses divided T. dioica populations into three main clusters. First cluster comprised of Meerut population, second cluster included of Cuttack and Kolkata populations and populations of Bihar, Delhi and Kanpur occurred in third cluster. Genetic diversity was found to be strongly positively correlated with the latitude and strongly negatively correlated with annual mean rainfall of different T. dioica cultivated regions. For sex identification, one SRAP primer combination, 'Em-6/Me-4' amplified two molecular markers of around 230 and 290 bp specific to male T. dioica plants of Bihar, Kanpur, North Delhi and Meerut populations and were completely absent from female plants.

SUBMITTER: Kumar J

PROVIDER: S-EPMC6423492 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Assessment of genetic diversity, population structure and sex identification in dioecious crop, <i>Trichosanthes dioica</i> employing ISSR, SCoT and SRAP markers.

Kumar Jatin J Agrawal Veena V

Heliyon 20190316 3

Twenty inter-simple sequence repeat (ISSR) and twenty two start codon targeted (SCoT) primers were employed to analyze genetic diversity and population structure among 52 <i>Trichosanthes dioica</i> Roxb. accessions collected from nine different eco-geographical regions of India. ISSR markers proved to be more informative in genetic diversity assessment and produced higher mean number of polymorphic bands (15.25 with 95.96% polymorphism) and polymorphic information content (PIC) value (0.47) com ...[more]

PMID: 30923770

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Project description:BackgroundWheat is a major cereal that can narrow the gap between the increasing human population and food production. In this connection, assessing genetic diversity and conserving wheat genetic resources for future exploitation is very important for breeding new cultivars that may withstand the expected climate change. The current study evaluates the genetic diversity in selected wheat cultivars using ISSR and SCoT markers, the rbcL and matK chloroplast DNA barcoding, and grain surface sculpture characteristics. We anticipate that these objectives may prioritize using the selected cultivars to improve wheat production. The selected collection of cultivars may lead to the identification of cultivars adapted to a broad spectrum of climatic environments.ResultsMultivariate clustering analyses of the ISSR and SCoT DNA fingerprinting polymorphism grouped three Egyptian cultivars with cultivar El-Nielain from Sudan, cultivar Aguilal from Morocco, and cultivar Attila from Mexico. In the other group, cultivar Cook from Australia and cultivar Chinese-166 were differentiated from four other cultivars: cultivar Cham-10 from Syria, cultivar Seri-82 from Mexico, cultivar Inqalab-91 from Pakistan, and cultivar Sonalika from India. In the PCA analysis, the Egyptian cultivars were distinct from the other studied cultivars. The rbcL and matK sequence variation analysis indicated similarities between Egyptian cultivars and cultivar Cham-10 from Syria and cultivar Inqalab-91 from Pakistan, whereas cultivar Attila from Mexico was distinguished from all other cultivars. Combining the data of ISSR and SCoT with the rbcL and matK results retained the close resemblance among the two Egyptian cultivars EGY1: Gemmeiza-9 and EGY3: Sakha-93, and the Moroccan cultivar Aguilal, and the Sudanese cultivar El-Nielain and between Seri-82, Inqalab-91, and Sonalika cultivars. The analysis of all data distinguished cultivar Cham-10 from Syria from all other cultivars, and the analysis of grain traits indicated a close resemblance between cv. Cham-10 from and the two Egyptian cultivars Gemmeiza-9 and Sakha-93.ConclusionsThe analysis of rbcL and matK chloroplast DNA barcoding agrees with the ISSR and the SCoT markers in supporting the close resemblance between the Egyptian cultivars, particularly Gemmeiza-9 and Sakha-93. The ISSR and SCoT data analyses significantly expressed high differentiation levels among the examined cultivars. Cultivars with closer resemblance may be recommended for breeding new wheat cultivars adapted to various climatic environments.

Dataset Information

Assessment of genetic diversity, population structure and sex identification in dioecious crop, Trichosanthes dioica employing ISSR, SCoT and SRAP markers.

Publications

Assessment of genetic diversity, population structure and sex identification in dioecious crop, <i>Trichosanthes dioica</i> employing ISSR, SCoT and SRAP markers.

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