Dataset Information

Analysis of allelic variation in wild potato (Solanum) species by simple sequence repeat (SSR) markers.

ABSTRACT: Allelic variation in wild potato (Solanum) species was analysed using 14 simple sequence repeat (SSR) markers. SSR allelic profiles showed high polymorphism and distinctness among the wild species. A total of 109 alleles of 14 polymorphic SSR markers were scored in 82 accessions belonging to 22 wild potato species. Allele size ranged from a minimum of 104 bp (STI0030) to a maximum of 304 bp (STM5114). Number of SSR alleles per marker ranged from 4 (STM5127/STM1053) to 13 (STM0019), whereas PIC value varied between 0.66 (STM1053) and 0.91 (STM0019). Cluster analysis using SSR allelic profiles of 82 accessions grouped showed 5 major clusters (I-V) based on the Dice similarity coefficient using neighbour-joining clustering method. Distinct allelic variations were observed among the accessions irrespective of the origin country, series and species. Our study suggests that SSR-based molecular characterization of wild potato species is accession specific and development of an allelic dataset for all the accessions would strengthen their utilization in potato research in future.

SUBMITTER: Tiwari JK

PROVIDER: S-EPMC6557950 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Analysis of allelic variation in wild potato (<i>Solanum</i>) species by simple sequence repeat (SSR) markers.

Tiwari Jagesh Kumar JK Ali Nilofer N Devi Sapna S Zinta Rasna R Kumar Vinod V Chakrabarti Swarup Kumar SK

3 Biotech 20190611 7

Allelic variation in wild potato (<i>Solanum</i>) species was analysed using 14 simple sequence repeat (SSR) markers. SSR allelic profiles showed high polymorphism and distinctness among the wild species. A total of 109 alleles of 14 polymorphic SSR markers were scored in 82 accessions belonging to 22 wild potato species. Allele size ranged from a minimum of 104 bp (STI0030) to a maximum of 304 bp (STM5114). Number of SSR alleles per marker ranged from 4 (STM5127/STM1053) to 13 (STM0019), wherea ...[more]

PMID: 31192087

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Project description:BackgroundChinese bayberry (Myrica rubra Sieb. and Zucc.) is a subtropical evergreen tree originating in China. It has been cultivated in southern China for several thousand years, and annual production has reached 1.1 million tons. The taste and high level of health promoting characters identified in the fruit in recent years has stimulated its extension in China and introduction to Australia. A limited number of co-dominant markers have been developed and applied in genetic diversity and identity studies. Here we report, for the first time, a survey of whole genome shotgun data to develop a large number of simple sequence repeat (SSR) markers to analyse the genetic diversity of the common cultivated Chinese bayberry and the relationship with three other Myrica species.ResultsThe whole genome shotgun survey of Chinese bayberry produced 9.01Gb of sequence data, about 26x coverage of the estimated genome size of 323 Mb. The genome sequences were highly heterozygous, but with little duplication. From the initial assembled scaffold covering 255 Mb sequence data, 28,602 SSRs (≥5 repeats) were identified. Dinucleotide was the most common repeat motif with a frequency of 84.73%, followed by 13.78% trinucleotide, 1.34% tetranucleotide, 0.12% pentanucleotide and 0.04% hexanucleotide. From 600 primer pairs, 186 polymorphic SSRs were developed. Of these, 158 were used to screen 29 Chinese bayberry accessions and three other Myrica species: 91.14%, 89.87% and 46.84% SSRs could be used in Myrica adenophora, Myrica nana and Myrica cerifera, respectively. The UPGMA dendrogram tree showed that cultivated Myrica rubra is closely related to Myrica adenophora and Myrica nana, originating in southwest China, and very distantly related to Myrica cerifera, originating in America. These markers can be used in the construction of a linkage map and for genetic diversity studies in Myrica species.ConclusionMyrica rubra has a small genome of about 323 Mb with a high level of heterozygosity. A large number of SSRs were identified, and 158 polymorphic SSR markers developed, 91% of which can be transferred to other Myrica species.

Project description:Tall fescue is widely used in temperate regions throughout the world as a dominant forage grass as well as a turfgrass, in pastoral and turf industry. However, the utilization of tall fescue was limited because of its leaf roughness, poor regeneration ability and poor stress resistance. New cultivars were desirable in modern pastoral industries exceed the potential of existing cultivars. Therefore, well understanding the agronomic traits and describing germplasms would help to overcome these constraints, and morphological evaluation of tall fescue germplasm is the key component in selecting rational parents for hybridization breeding. However, describing the morphological traits of tall fescue germplasm is costly and time-consuming. Fortunately, biotechnology approaches can supplement conventional breeding efforts for tall fescue improvement. Association mapping, as a powerful approach to identify association between agronomic traits and molecular markers has been widely used for enhancing the utilization, conservation and management of the tall fescue germplasms. Therefore, in the present research, 115 tall fescue accessions from different origins (25 accessions are cultivars; 31 accessions from America; 32 accessions from European; 7 accessions from Africa; 20 accessions from Asia), were evaluated for agronomic traits and genetic diversity with 90 simple sequence repeat (SSR) markers. The panel displayed significant variation in spike count per plant (SCP) and spike weight (SW). However, BCS performed the lowest CV among all the observed agronomic traits. Three subpopulations were identified within the collections but no obvious relative kinship (K) was found. The GLM model was used to describe the association between SSR and agronomic traits. Fifty-one SSR markers associated with agronomic traits were observed. Twelve single-associated markers were associated with PH; six single-associated markers were associated with BCS; eight single-associated markers were associated with SW; five single-associated markers were associated with SC; seven single-associated markers were associated with SCP; three single-associated markers were associated with SL. Especially, we observed that the genetic variation of SW was explained 11.6 % by M37 marker. It is interesting to observe that nine markers (M1, M2, M35, M54 marker was associated with both BCS and SC; M3, M4 markers were associated with BCS, SW, and SC; M19 marker was associated with both pH and PD, M40 marker was associated with both SCP and SW; and M193 marker was associated with both PH and SL) were associated with more than two agronomic traits. Notably, Branch count per spike (BCS) was explained by four markers (M1, M2, M3, and M4) exceeding 10 %. These identified marker alleles associated with agronomic traits could provide important information and markers for molecular-assisted breeding that facilitate the breeding process in tall fescue.

Dataset Information

Analysis of allelic variation in wild potato (Solanum) species by simple sequence repeat (SSR) markers.

Publications

Analysis of allelic variation in wild potato (<i>Solanum</i>) species by simple sequence repeat (SSR) markers.

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