Literature DB >> 35198686

Multiplexed SSR and agronomic data used in an investigation of obsolete diversity of rye (Secale cereale L.).

Malgorzata Targonska-Karasek1, Maja Boczkowska1,2, Wieslaw Podyma1,2, Malgorzata Pasnik1, Maciej Niedzielski1, Anna Rucinska1, Zuzanna Nowak-Zyczynska3, Monika Rakoczy-Trojanowska4.   

Abstract

Rye (Secale cereale L.) is one of the most important cereal crops cultivated in the world due to its ability to produce high yields even when grown under environmental stress conditions. About 27,000 Secale accessions have been collected and preserved in 70 gene banks worldwide. Although the germplasm represents a great source of genetic diversity, the molecular characteristics refers only to the part of them. Here, we present data obtained by the Simple Sequence Repeat markers (SSR) analysis of 100 rye accessions preserved in the gene bank of the Polish Academy of Sciences Botanical Garden - Center for Biological Diversity Conservation in Powsin. Additionally, the data presented in this article refers to evaluation of agronomoic traits and weather conditions measured for 14 years. The data was used in the research article "Investigation of obsolete diversity of rye (Secale cereale L.) using multiplexed SSR fingerprinting and evaluation of agronomic traits" [1].
© 2022 The Authors.

Entities:  

Keywords:  Agronomic traits; Diversity; Gene bank germplasm; Meteorological data; Molecular markers

Year:  2022        PMID: 35198686      PMCID: PMC8844198          DOI: 10.1016/j.dib.2022.107910

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table

Value of the Data

We provide genotyping and phenotyping data of Secale cereale L. rare and obsolete accessions representing part of the collection preserved in the gene bank of the Polish Academy of Sciences Botanical Garden – Center for Biological Diversity Conservation in Powsin. Multi-level evaluation ensures increased use of genetic resources for breeding and scientific activities. Data included in this manuscript can be useful for researchers or breeders who are looking for another source of genetic diversity and are interested in including historical germplasm into breeding programs. Data presented in this article can be used as the training data in statistic and population structure studies. Data provides detailed information about weather conditions since 2005 which can be used in other studies in terms of statistics, meteorological studies, or correlations.

Data Description

Information about accessions deposited in the Polish Academy of Sciences Botanical Garden – Center for Biological Diversity Conservation in Powsin, which were used in the analyses with their names, gene bank accession numbers, introduction status, acquisition year, and country of origin, were in Table 1. Binary data of SSR genotyping with the use of 17 SSR markers can be found in Excel file 1. In columns, results for each marker allele can be found, where the presence of an amplified product was scored as 1 and the absence of a product as 0.
Table 1

Rye accessions from the Polish Academy of Sciences Botanical Garden – Center for Biological Diversity Conservation in Powsin, which were used in the analyses modified from [1].

NumberAccession numberNameImprovement statusAcquisition yearCountry of origin
17261/76683Landrace1976AFG
25779/75DEBRETTCultivar1975ARG
38411/78MANFREDI SUQUIACultivar1978ARG
416,286/81TERAPICOCultivar1981ARG
57492/76VARNEROGCultivar1976AUS
61287/71CHRYSANTH HANSERROGGENENCultivar1971AUT
72525/73HARRACH UNIVERSALCultivar1973AUT
87124/76HOHENAUERCultivar1976AUT
91310/71KARNTNERCultivar1971AUT
108842/79MARCHFELDERCultivar1979AUT
117209/76OTTERBACHERCultivar1976AUT
121276/71SCHLAGLERCultivar1971AUT
131299/71TSCHERMAKS VEREDELTER MARCHFELDERCultivar1971AUT
148826/79GALMACultivar1979BEL
157910/77JOEGEWA-AUSLESECultivar1977BGR
167915/77NISKOSTEBELNAJACultivar1977BGR
172369/73PARTIZANSKAJACultivar1973BLR
186984/76CENTENO 52Cultivar1976BRA
197049/76GAYEROVOCultivar1976BRA
207465/76SAMPLE ACultivar1976BRA
217044/76FRONTIERCultivar1976CAN
225792/75HORTONCultivar1975CAN
231198/90SINGZHAUCultivar1990CHN
245780/75DOBRENICKE KRMNECultivar1975CSK
257198/76NALZOVSKECultivar1976CSK
265831/75VALTICKECultivar1975CSK
272386/73PUDMERICKECultivar1973CZE
287403/76ZIDLOCHOWICKIE PANISCultivar1976CZE
291334/71BENDELEBENERCultivar1971DEU
3018,702/83DONARCultivar1983DEU
314770/75GULZOWER St. 1714Cultivar1975DEU
324997/75HESSDORFER JOHANNISCultivar1975DEU
338830/79HGP 20Breeding material1979DEU
3418,703/83JANOSCultivar1983DEU
358840/79LUKASCultivar1979DEU
365808/75MECKLENBURGER MARIENCultivar1975DEU
3714,982/80PETKUSER MOORROGGENCultivar1980DEU
3818,705/83POLLUXCultivar1983DEU
397039/76FLORIDA BLACK WALLANCE SELECTIONCultivar1976ESP
407125/76HUESCACultivar1976ESP
417281/76SYNTHETIC VCultivar1976ESP
421278/71ENSICultivar1971FIN
438833/79HJA JUSSI 20Cultivar1979FIN
441279/71PEKKACultivar1971FIN
457380/76VISACultivar1976FIN
468823/79DUNA TISZAKOZICultivar1979HUN
477036/76FLEISCHMANNCultivar1976HUN
485794/75HUSZAJCultivar1975HUN
497138/76JAPAJEDELSKECultivar1976HUN
507184/76LOVASZPATONAICultivar1976HUN
517210/76OVARICultivar1976HUN
527158/76K 1634Landrace1976IRN
537012/76DOMINANTCultivar1976NLD
541295/71DOMINANTCultivar1971NLD
557901/77AR-3Cultivar1977POL
5618,700/83CHODANCultivar1983POL
578816/79CH-SCultivar1979POL
5818,701/83DAŃKOWSKIE NOWECultivar1983POL
598820/79DAŃKOWSKIE SREBRNECultivar1979POL
607047/76GARCZYŃSKIE LUDOWECultivar1976POL
6118,639/83GOLSKIECultivar1983POL
624266/74KORTOWSKIECultivar1974POL
637196/76MIKULICKIE WCZESNECultivar1976POL
6414,057/80PANCERNECultivar1980POL
657238/76PULAWSKIECultivar1976POL
667285/76SZK 6B/65Cultivar1976POL
6718,657/83TEMPOCultivar1983POL
687392/76WŁOSZANOWSKIE NOWECultivar1976POL
697404/76BRIGODA DE MIRANDELACultivar1976PRT
701393/71PORTOCultivar1971PRT
716971/76BRASOV 200-NCultivar1976ROM
728867/79SUCEAVA 50Cultivar1979ROM
735776/75BURUNAJACultivar1975RUS
742680/73FALENSKAJACultivar1973RUS
7541/70KAZANSKAJACultivar1970RUS
7614,917/80KRUPNOZERNAJACultivar1980RUS
772683/73NOVOZYBKOVSKAJA 4Cultivar1973RUS
7845/70SITNIKOVSKAJACultivar1970RUS
7914,969/80SPASSKAJA MESTNAJACultivar1980RUS
807172/76WIR 7276Landrace1976RUS
817449/7687Landrace1976SRB
828857/79PONSICultivar1979SWE
838869/79SV. 6728Breeding material1979SWE
847076/761566Landrace1976TUR
857077/761794Landrace1976TUR
867079/762666Landrace1976TUR
877084/763525Landrace1976TUR
887095/764018Landrace1976TUR
897117/764317Landrace1976TUR
902373/73BEREGOVSKAJACultivar1973UKR
9114,974/80HARKOVSKAJACultivar1980UKR
926964/76ATHENS ABRUZZICultivar1976USA
9314,156/80DWARF WINTERCultivar1980USA
9425,282/86FREDERICKCultivar1986USA
957250/76ROSENCultivar1976USA
9625,286/86SCHNIDTCultivar1986USA
977287/76TENNESSEE 4062Breeding material1976USA
981306/71WESERCultivar1971USA
9914,059/80BALBOCultivar1980ZAF
1007002/76DL67/172Cultivar1976ZAF
Rye accessions from the Polish Academy of Sciences Botanical Garden – Center for Biological Diversity Conservation in Powsin, which were used in the analyses modified from [1]. In the Excel file 2. phenotyping data from three growing periods (2015/2016, 2016/2017, and 2017/2018) can be found. The phenotypic evaluation included a total of 13 traits i.e., six qualitative and seven quantitative ones. Plant emergence, winter hardiness, snow mold resistance, powdery mildew resistance, brown rust resistance, and stem rust resistance were expressed on a 1–9 point scale. Comprehensive and detailed information about meteorological conditions is in an Excel file 3. In the separate Excel sheets, the information about average air temperature and total rainfall between 2005 and 2019 can be found. Additionally, there is a data sheet with minimum and maximum monthly temperatures from 2006 to 2019. The last excel sheet with extended data includes next to the temperature and total rainfall data also information about factors as insolation, atmospheric pressure, dew point temperature, freezing point temperature, sunlight, net radiation, relative humidity, ground temperature. The listed measurements were taken between 2009 and 2019.

Experimental Design, Materials and Methods

Plant material

From the Secale collection preserved in the gene bank at the Polish Academy of Sciences Botanical Garden-Center for Biological Diversity Conservation in Powsin (PASBG), 100 accessions were selected for analysis (Table 1). They originated from 28 countries and were introduced to the collection between 1970 and 1990. The research material was mainly cultivars (87 accessions), to a much lesser extent landraces (10 accessions), while breeding materials were represented by only 3 accessions.

DNA isolation

From each accession, 150 seeds were prepared and treated with Funaben T (45% thiram, 20% carbendazim). For this purpose, the seeds were placed in a 100 ml glass conical flask and about 30 mg of Funaben T was added. Flask was closed with a glass stopper and shaken vigorously for about 30 s. The treated seeds were evenly placed into 20 cm diameter Petri dishes containing moist tissue paper. The procedure was carried out separately for each accession. The Petri dishes were left at room temperature on a laboratory table in a room with limited light for germination. Successively, when seedlings reached the first leaf stage, tissue was collected for DNA isolation. Fragments with a length of about 1.5 cm were taken from the central part of the leaf blade of 16 plants and placed in a 2 ml Eppendorf tube to form a pooled sample. For each accession, a total of six pooled samples were collected. Immediately after harvesting, the material was frozen in –20 °C and freeze-dried (LABCONCO) in high vacuum conditions and temperature of –50 °C for 12 h. In the next step dry plant material was ground in a bead mill MM 100 (Retch) using three 3 mm diameter glass beads for 30 s and frequency 30 Hz. DNA was isolated from pooled samples using a Clean Plant PK DNA Purification Kit (CLEANNA). This kit is designed for DNA isolation in a 96-well plate format using a magnetic separation device. The initial isolation step was adapted to the available equipment. 700 µl of CPPK lysis buffer and 20 µl Proteinase K solution from the isolation kit was added to the ground samples remaining in the 2 ml tubes. The tubes were incubated at 56 °C in a heating block with 1000 rpm shaking for 30 min. The samples were then centrifuged at 4000 × g for 10 min. 500 ul of pure lysate was transferred to 96-well deep-well plates. The rest of the isolation followed the manufacturer's protocol using multichannel pipets. At this stage, each accession was represented by six samples in 96 well plate. After isolation, the concentration and purity of DNA were evaluated spectrophotometrically using NanoDrop 1000 (Thermo). At the end, six pooled samples for each accession were combined in one in equal proportions and diluted to a working concentration of 20 ng/µl.

SSR analysis

A total of 17 SSR markers were selected for analysis. All are available in the public domain [2,3] and are located on all rye chromosomes. The selection of markers was based on a previous study by Targońska et al [4]. The requirement for selection was an amplification of good quality polymorphic products from a single locus. Localization on genetic maps was determined for selected markers. [5], [6], [7], [8]. Based on the length of the amplified products, primers were selected and labelled to form two multiplex reaction kits. Four fluorescent dyes: 6-FAM, VIC, NED, or PET (Thermo Fisher) were used. For detailed information on the primers, see Table 2. Multiplex PCRs were performed in a 10 µl volume containing approximately 20 ng template DNA, 1 pmol of each primer, and 5 µl AmpliTaq Gold™ 360 Master Mix (Life Technologies). Reactions were performed in an Arktik thermocycler (Life Technologies) with an initial denaturation step of 10 min at 94 °C, 10 cycles of 30 s at 94 °C, 1 min starting at 64 °C and decreasing 1 °C per cycle, 1 min at 72 °C followed by 35 cycles of 94 °C for 30 s, 55 °C for 45 s, and 72 °C for 1 min, and a final extension at 72 °C for 30 min. PCR reaction products were ten times diluted with DNAse free water. Just before electrophoresis, 1 µl of diluted PCR products were mixed with 9 µl Hi-Di™ Formamide (Thermo Fisher) and 0.25 µl of GeneScan600 LIZ Size Standard (Applied Biosystems) and formed a loading cocktail. Before loading, cocktail was denatured in the thermocycler for 3 min at 95 °C and immediately chill on a cooling block. The amplified products were analyzed by an ABI 3500 Genetic Analyzer (Applied Biosystems) using a 36 cm capillaries array filled with POP-7 polymer (Thermo Fisher). The length of fragments was assessed against the size standard GeneScan™ 500 LIZ™ Dye Size Standard (Applied Biosystems). The length of the fragments was determined using the GeneMapper (Applied Biosystems) software. The amplified fragments from each accession were transformed into a binary character matrix where 1 indicated the presence of a defined length fragment, while its absence was marked as 0.
Table 2

SSR markers used in the study.

Marker idChromosomeForward sequenceReverse sequenceSSR motifProducts range (bp)DyeMultiplexRefs.
SCM0091RTGACAACCCCCTTTCCCTCGTTCATCGACGCTAAGGAGGACCC(GT)8205–255NEDA[3]
SCM0286RCTGGTCCTGGTCTGGTGGGTCCGCATCGGGTGTGTCGCATAC(GT)26128–130VICA[3]
SCM0412RTGATAGCGGGGGGAAGAGGCTGCTTGTGCTTGAAGAGAA(AGC)5…(AAGAG)5131–160FAMA[2]
SCM0507RTCGGAGGCAGCGACCACCATGCCAGGAACCAGGTTCTCTG(AGG)598–145PETA[2]
SCM0637RCGACTTCGAGGGCAGGAATGAATCCCGGGGATGAAGTGCAG(CCG)5224–250NEDB[2]
SCM1014RGCCAGCCGCCACCTTAATTGAGCCCAACTCTTTCGTGCATG(CT)18150–200FAMB[3]
SCM1071RCCCGAACCCTAACCCTAAAACAGCTCCTTCTCCTCCCTGAC(GCC)5232–252FAMA[2]
SCM1095RAACCCCCTTTCGTACCTTGTTAAAGCAAACCACCAGAGCC(GT)9127–145PETB[3]
SCM1123RCCACTGCTCCTCCCAAAAGCCCCTGCTTGTCCACATTATC(GGC)5375–410NEDA[2]
SCM1182RCAAGCCAGCCTCTTCTTCTTCGAGCGTGGAGATGAACTCG(TCT)5145–166VICA[2]
SCM1385RATAGCCGCAGATGGTTGAGGACGAGAAGTCTACAAATCAAGGGGGC(AC)23102–128FAMB[3]
SCM1394RTACCACCGCTCTCCTCGACCTGGTGTGCTGCTCCATGTTCAG(ATCT)3126–142NEDA[2]
SCM1525RCGGAGCAGCAGAGCAAGAGAATGTAGCCGAGGATGGTGAGC(AG)7320–391VICB[2]
SCM1554RTTCTTCTTCGCTACGCACACCTCCGGCCACTACCACATCTT(AAG)5218–243PETA[2]
SCM1623RTGGCATGGTTGGGCATTGTTCGAGCCGGCAAAGGAGCAGAGT(CCG)7128–197VICB[2]
SCM1711RTCCCGAAACACTACAGGTTGAAGGCCTAGGACCCGAACA(GGC)6216–223PETB[2]
SCM1806RGTTTCGTCCCCGTTGCCATCACGTGTCGCTTTCCATTGCCC(GT)6(GT)7138–145NEDB[3]
SSR markers used in the study.

Evaluation of agronomic traits

Phenotyping observations and measurements were performed during three consecutive growing periods: 2015/2016; 2016/2017; and 2017/2018. In experimental plots of 1.5 m2, seeds were sown every 2–3 cm in rows of 17.5 cm spacing. Approximately 400 seeds treated with Funaben T per plot were sown in the fall. No other pathogen protection was applied during the growing season. During the growing season, morphological characters as well as basic phenological data have been evaluated according to descriptors [9,10] at the recommended time. The length of vegetation and grain filling period were calculated based on sowing, flowering, and wax maturity time. Plant emergence, winter hardiness, snow mold, powdery mildew, brown rust, and stem rust resistance were expressed on a 1–9 point scale i.e., 1 (very sensitive) – 9 (very resistance). Plant height was measured at maturity from ground to spike, including awns. At the same, time spike length excluding awns was examined. Penultimate leaf length was assessed during grain filling period. All measurements were performed for 20 plants per plot and arithmetic mean was expressed in centimetres. The number of grains per spike was the average number for 20 manually harvested and threshed ears. One thousand grains of each accession were collected at random, weighed to record the seed index, and expressed in grams.

Assembling meteorological data

Meteorological data from 2005 to 2019 concerning temperature and total rainfall data also information about factors as insolation, atmospheric pressure, dew point temperature, freezing point temperature, sunlight, net radiation, relative humidity, ground temperature were collected using meteorological station located in 52.2165, 20.6453.

CRediT authorship contribution statement

Malgorzata Targonska-Karasek: Conceptualization, Methodology, Investigation, Writing – original draft. Maja Boczkowska: Conceptualization, Methodology, Investigation, Data curation, Writing – original draft. Wieslaw Podyma: Conceptualization, Methodology, Investigation. Malgorzata Pasnik: Investigation. Maciej Niedzielski: Conceptualization, Methodology, Investigation. Anna Rucinska: Conceptualization. Zuzanna Nowak-Zyczynska: Investigation. Monika Rakoczy-Trojanowska: Conceptualization, Supervision.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
SubjectAgricultural science, Agronomy and Crop science
Specific subject areaBinary genotyping data, rye phenotyping data based on 3-year field trial, data referring to field weather condition from 14 years
Type of dataTablesExcel files
How the data were acquiredGenotyping data was collected by PCR (Arktic Thermocycler, ThermoScientific) with DNA isolated from rye accessions, and then analysis in ABI 3500 Genetic Analyzer (Applied Biosystems).Phenotyping data was obtained by 3-year field observation.Meteorological data was assembled during 14 year.
Data formatRaw
Description of data collection100 rye accessions preserved in the Polish Academy of Sciences Botanical Garden – Center for Biological Diversity Conservation in Powsin. Phentypic traits were evaluated during three-year field experiments. DNA was isolated from seedlings in the first leaf stage from 96 plants as a bulk sample. Genetic analysis was performed by 17 Simple Sequence Repeat markers in capillary sequencer. Weather data was collected continuously for 14 years at the location 52.2165, 20.6453.
Data source locationPolish Academy of Sciences Botanical Garden – Center for Biological Diversity Conservation in Powsin, Warsaw, PolandPlant Breeding and Acclimatization Institute (IHAR) - National Research Institute, Radzików, Poland
Data accessibilityRepository name: Open Science FrameworkDirect URL to data: (https://osf.io/wpcq9/) doi: https://doi.org/10.17605/OSF.IO/WPCQ9.
Related research articleM. Targonska-Karasek, M. Boczkowska, W. Podyma, M. Pasnik, M. Niedzielski, A. Rucinska, Z. Nowak-Zyczynska, M. Rakoczy-Trojanowska, Investigation of obsolete diversity of rye (Secale cereale L.) using multiplexed SSR fingerprinting and evaluation of agronomic traits. J. Appl Genetics. 61 (2020) 513–529. https://doi.org/10.1007/s13353–020–00579-z
  6 in total

1.  Development of simple sequence repeat markers in rye (Secale cereale L.).

Authors:  B Saal; G Wricke
Journal:  Genome       Date:  1999-10       Impact factor: 2.166

2.  New genetic map of rye composed of PCR-based molecular markers and its alignment with the reference map of the DS2 x RXL10 intercross.

Authors:  Paweł Milczarski; Aneta Banek-Tabor; Karolina Lebiecka; Stefan Stojałowski; Beata Myśków; Piotr Masojć
Journal:  J Appl Genet       Date:  2007       Impact factor: 3.240

3.  DArT markers for the rye genome - genetic diversity and mapping.

Authors:  Hanna Bolibok-Bragoszewska; Katarzyna Heller-Uszyńska; Peter Wenzl; Grzegorz Uszyński; Andrzej Kilian; Monika Rakoczy-Trojanowska
Journal:  BMC Genomics       Date:  2009-12-03       Impact factor: 3.969

4.  Assessment of Genetic Diversity in Secale cereale Based on SSR Markers.

Authors:  M Targońska; H Bolibok-Brągoszewska; M Rakoczy-Trojanowska
Journal:  Plant Mol Biol Report       Date:  2015-06-06       Impact factor: 1.595

5.  A consensus map of chromosome 6R in rye (Secale cereale L.).

Authors:  Stefan Stojałowski; Beata Myśków; Paweł Milczarski; Piotr Masojć
Journal:  Cell Mol Biol Lett       Date:  2008-10-31       Impact factor: 5.787

6.  Investigation of obsolete diversity of rye (Secale cereale L.) using multiplexed SSR fingerprinting and evaluation of agronomic traits.

Authors:  Malgorzata Targonska-Karasek; Maja Boczkowska; Wieslaw Podyma; Małgorzata Pasnik; Maciej Niedzielski; Anna Rucinska; Zuzanna Nowak-Zyczynska; Monika Rakoczy-Trojanowska
Journal:  J Appl Genet       Date:  2020-09-07       Impact factor: 3.240

  6 in total

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