Tagr 5 1 0 Mm

596-12170 - For high contrast identification labelling in warehouse areas, this continuous length label material gives the user the ability to print large sized text and barcodes and cut to length after printing with either a supplied in-line cutter with the TT4000 or by hand with the TT430. 596-12170 - For high contrast identification labelling in warehouse areas, this continuous length label material gives the user the ability to print large sized text and barcodes and cut to length after printing with either a supplied in-line cutter with the TT4000 or by hand with the TT430. Using these products across the company ensures that all marking is to a consistent and professional. 596-12170 - For high contrast identification labelling in warehouse areas, this continuous length label material gives the user the ability to print large sized text and barcodes and cut to length after printing with either a supplied in-line cutter with the TT4000 or by hand with the TT430.

1. Tagr 5 1 0 Mm Ring Scale
2. Tagr 5 1 0 Mm Equals
3. 5 1 Height Cm

Warehouse and Pipe Labelling for Thermal Transfer Printing 101.6 mm redArticle number: 596-12168

1. Compared to the TAG Device (2.2 ± 1.7 mm vs. 4.4 ± 3.0 mm, P 0.05). Also, while birdbeaking was seen in 8 of 20 cases. Accurate deployment was defined as 5 mm of distance from the intended.
2. Download TAGR - T-adapter with 60° cone end and BSPP male thread according to ISO 8434-6 / BS 5200 of stainless steel 316Ti. Available for SOLIDWORKS, Inventor, Creo, CATIA, Solid Edge, autoCAD, Revit and many more CAD software but also as STEP, STL, IGES, STL, DWG, DXF and more neutral CAD formats.

To use the watchlist, please login or register:

Features

• Pipe, warehouse and shelving label
• Supplied on a continuous roll and cut by hand or automated with printer cutters
• Also for rough surfaces
• Good resistance in outdoor applications

Application

These coloured labels are used to identify storage systems with barcode and location information. They are also suitable for general marking of parts and components, samples and blocked goods in quality assurance, storage boxes and barrels.

• TT4030556-04037
  Thermal transfer printer
• TT431556-00400
  Thermal transfer printer

  To use the watchlist, please login or register:

• TT822OUT556-00101
  Thermal Printer Ribbons for adhesive labels
• TT822OUT8556-00161
  Thermal Printer Ribbons for heatshrink

  To use the watchlist, please login or register:

• TAGR4TD1-1213-YE596-03103
  Warehouse and pipe labelling, thermal transfer
• TAG108TD1-1213-GN596-12166
  Warehouse and pipe labelling, thermal transfer

  Multitouch 1 15 2. To use the watchlist, please login or register:

• TAG108TD1-1213-YE596-12167
  Warehouse and pipe labelling, thermal transfer
• TAG108TD1-1213-BU596-12181
  Warehouse and pipe labelling, thermal transfer

  Snipper app 1 3 2. To use the watchlist, please login or register:

• TAG108TD1-1213-GY596-12188
  Warehouse and pipe labelling, thermal transfer
• TAG108TD1-1213-PK596-00971
  Warehouse and pipe labelling, thermal transfer

  To use the watchlist, please login or register:

• TAGR1TD-1213-YE596-12169
  Warehouse and pipe labelling, thermal transfer
• TAGR1TD-1213-GN596-12170
  Warehouse and pipe labelling, thermal transfer

  To use the watchlist, please login or register:

• TAGR1TD-1213-WH596-12171
  Warehouse and pipe labelling, thermal transfer

Abstract

Premise of the study:

Microsatellite markers were developed for the common arid Australian shrub Acacia ligulata (Fabaceae) and the threatened overstory trees A. melvillei and A. pendula.

Methods and Results:

DNA sequence data generated by 454 sequencing were used to identify microsatellite nucleotide repeat motifs. Including previously developed primer sets, we report on the development of 10 polymorphic microsatellite loci for each species. Six of these were novel for A. melvillei and A. ligulata, and five were novel for A. pendula, while five more each were transferred from primers developed for related species (A. carneorum and A. loderi). We found three to 17 alleles per locus for each species, with high multilocus genotypic diversity within each of two A. ligulata and A. pendula stands, and one A. melvillei population. A second A. melvillei stand appeared to be monoclonal.

Conclusions:

These markers will allow assessment of population genetics, mating systems, and connectedness of populations of these and possibly other arid-zone acacias.

Several Australian arid-zone acacias are threatened by habitat loss, degradation, and fragmentation resulting from agricultural activities and exotic herbivores (Morton et al., 1995), although others, including Acacia ligulata A. Gtasks pro 1 3 5 – tasks for google docs. Cunn. ex Benth., are thriving. Two long-lived and potentially clonal species facing a variety of potential threats are A. melvillei Pedley and A. pendula A. Cunn. ex G. Don. Both of these latter species likely suffer from infrequent seed production and chronic recruitment failure (Batty and Parsons, 1992). Moreover, there is some debate about the origin and taxonomy of stands of A. pendula found in the Hunter region of New South Wales (Bell et al., 2007), the extreme eastern range edge of its distribution and a notable anomaly for this species, given its predominate semiarid/arid distribution in four Australian states. A clear understanding of the factors underlying the variation in the performance of these three species is hampered by a lack of genetic tools that allow assessment of the mating and dispersal and genetic diversity of remaining stands.

The three target species have partially overlapping ranges. 'Acacia melvillei shrubland' endangered ecological community occurs in semiarid and arid eastern Australia. This community is considered threatened primarily because of senescence of the overstory (dominated by A. melvillei), infrequent seed set, and recruitment failure due to overgrazing (NSW Scientific Committee, 2008). Acacia pendula is more widespread, occurring throughout the eastern semiarid zone, but is considered threatened within the Hunter Valley (NSW Scientific Committee, 2008). In contrast, A. ligulata is one of the most widespread Acacia species, occurring throughout arid Australia. Seed set occurs annually in this species, recruits are common (personal observation), and most stands appear to be thriving (personal observation). For each of these species, we developed primers that amplify microsatellite loci. By comparing and contrasting the genetic structure of populations of these species with partially overlapping distributions and perceived variation in reproductive success, we aim to gain insights into the impact of anthropogenic disturbance on their genetic structure and diversity and, together with demographic assessments, will seek to use these data to predict the resilience of remaining stands.

METHODS AND RESULTS

We used GS FLX Titanium sequencing (Roche Diagnostics Corporation, Sydney, Australia) to generate databases of DNA sequences for A. melvillei and A. pendula. Specimens of each species were sourced from stands located in western New South Wales. Genomic DNA was extracted using a DNeasy Plant Mini Kit (QIAGEN, Melbourne, Australia). Multiple DNA extracts from the same individual were pooled to obtain 5 μg of high-molecular-weight DNA for library construction. The library was prepared in accordance with the manufacturer's instructions (Roche Diagnostics Corporation), and the sequencing was performed at the Otago Genomic Sequencing Unit, University of Otago, New Zealand, using the GS FLX system with the GS FLX Titanium Rapid Library Preparation Kit (catalog no. 05608228001; Roche Diagnostics Corporation). Upon receipt of the DNA sequence databases from the University of Otago, we used the program MSATCOMMANDER version 0.8.1 () to detect DNA sequences containing di-, tri-, and tetranucleotide repeats, and to design microsatellite primers for PCR assays.

To PCR amplify loci of interest, we used Multiplex-Ready Technology. This method was developed by and is briefly described below. For each species, 24 locus-specific primer sets were synthesized by Sigma-Aldrich (Sydney, Australia). We also made use of existing primers (obtained in the same way) that amplify microsatellite loci in A. carneorum Maiden and A. loderi Maiden (Roberts et al., 2013) to potentially increase the number of microsatellites available for use in A. melvillei, A. pendula, and A. ligulata. Each respective forward and reverse primer had the nucleotide sequence 5′-ACGACGTTGTAAAA-3′ and 5′-CATTAAGTTCCCATTA-3′ attached to its 5′-end. Tag primers, tagF (5′-ACGACGTTGTAAAA-3′) and tagR (5′-CATTAAGTTCCCATTA-3′), were also synthesized, with tagF 5′-end labeled with one of Applied Biosystems' (Carlsbad, California, USA) proprietary fluorescent dyes (VIC, FAM, NED, and PET). Each PCR assay contained 0.2 mM dNTP, 1× ImmoBuffer (Bioline, Alexandria, Australia), 1.5 mM MgCl₂, 100 ng/μL bovine serum albumin (BSA; Sigma-Aldrich), 75 nM each of dye-labeled tagF and unlabeled tagR primer, 0.15 units of Immolase DNA polymerase (Bioline), and 2 μL of genomic DNA (∼10 ng/μL). The optimal primer concentration of each forward and reverse locus-specific primer was determined in preliminary PCR assays varying the primer concentration between 5 and 120 nM (Table 1) and also was included within each 10 μL (total volume) assay. PCRs were conducted on either a Bio-Rad (Hercules, California, USA) or Eppendorf (Hamburg, Germany) thermocycler with a denaturing step at 95°C, primer annealing step of 63°C, and an extension step at 72°C repeated for 40 cycles. Genomic DNA was extracted from phyllodes from one individual from each of five stands across the range of each species using a standard cetyltrimethylammonium bromide (CTAB) method (Doyle and Doyle, 1987). For each species, we genotyped eight individuals separated by at least 10 m, from each of five stands separated by at least 30 km. This initial sampling allowed us to assess levels of polymorphism within and between stands, before primers were deemed sufficiently polymorphic to characterize population genetic structure.

Table 1.

https://dwza.over-blog.com/2021/02/tuxera-ntfs-for-mac-2012-3-6-ubserial-download-free.html. Novel microsatellite loci for Acacia melvillei, A. ligulata, and A. pendula.^a

We developed new polymorphic primers that had consistently clean profiles, six each for A. melvillei and A. ligulata, and five for A. pendula (Table 1). We were also able to cross-transfer 15 previously optimized loci, 11 of which are described in Roberts et al. (2013). Specifically, five of 11 primer sets amplified successfully and had equally clear profiles on electropherograms for A. melvillei (DCL0C, AO35A, DSGN5, BNQS6, and DZ7O9), A. ligulata (A4IKI, AQBUV, DCL0C, ARU19, and C03P6), and A. pendula (ACPU7, BAIR8, BBY8P, C5IMO, and DCLOC), respectively. This resulted in a total of 11 working primers each for A. melvillei and A. ligulata, and 10 for A. pendula. All other primers tested did not amplify consistently or were difficult to score because of complex stuttering of the amplified product. These primer sets were discontinued. Combinations of successful primers were trialed together in multiplex PCRs to look for repeatable and clean assays. Successful combinations of primers as multiplex PCRs, which were subsequently used for all further genotyping, are presented in Table 2.

Table 2.

Multiplex PCR combinations achieved and fluorescent dyes used. https://download-desert.mystrikingly.com/blog/image-vectorizer-v1-3-download-free. Primers listed in Table 1 but absent here were not successfully multiplexed.

Following our initial screening of loci described above, we preceded to genotype plants from two New South Wales populations of each species (A. melvillei: AMEL1, AMEL2; A. ligulata: ALIG1, ALIG2; A. pendula: APEN1, APEN2; Appendix 1) using 10 of the primer pairs developed for each plant species (Tables 3–5). All loci amplified consistently in duplicate PCR assays and were polymorphic with between three and 17 alleles per locus.

Tagr 5 1 0 Mm Ring Scale

Table 3.

Levels of genetic diversity and expected genotypic diversity for a nonclonal population of Acaciamelvillei.

Note: A = number of alleles per locus; F_IS = inbreeding within populations; H_e = expected heterozygosity; N = number of individuals sampled.

Table 5.

Levels of genetic diversity and expected genotypic diversity for two nonclonal populations of Acacia pendula.

Note: A = number of alleles per locus; F_IS = inbreeding within populations; H_e = expected heterozygosity; N = number of individuals sampled; NS = not significant.

Table 4.

Levels of genetic diversity and expected genotypic diversity for two nonclonal populations of Acacia ligulata.

Note: A = number of alleles per locus; F_IS = inbreeding within populations; H_e = expected heterozygosity; N = number of individuals sampled.

Because A. melvillei reproduces both sexually and asexually, we used GenClone to estimate the probability that n (where n = 1, 2, 3…i) copies of a multilocus genotype were produced by distinct episodes of sexual reproduction, P_sex (Arnaud-Haond and Belkhir, 2007). Where P_sex is less than 0.05, it is improbable that n multilocus genotype copies were derived by sex alone.

All 30 plants in AMEL1 were identical, which far exceeds the maximum number of replicates of that genotype (n = 7) that is expected to result from sexual reproduction (P_sex= 0.073) with all replicates of n > 7 identical genotypes associated with P_sex values less than 0.05. In contrast, we detected 26 distinct genets in AMEL2, and it was improbable that the n = 4 replicated genotypes were produced by independent episodes of sexual reproduction (P_sex < 0.001), implying that while the vast majority of distinct genotypes in this stand were founded sexually, the replicate genotypes were produced by asexual reproduction. All A. pendula and A. ligulata plants were genetically distinct, with the exception of one pair in ALIG2. Levels of genetic diversity and expected genotypic diversity expressed as the average number of alleles per locus (A) and expected heterozygosity (H_e), respectively, were generally high for AMEL2, APEN1, APEN2, ALIG1, and ALIG2 (Table 2). However, average inbreeding within populations (F_IS) scores across all loci indicated significant deficits of heterozygotes in all five populations, suggesting inbreeding is a common phenomenon in these species (Tables 3–5). None of the pairwise tests for linkage equilibrium revealed significant associations between loci (P > 0.05).

CONCLUSIONS

These polymorphic markers have proved effective in estimating levels of genetic diversity within populations of these three acacias (A. pendula, A. ligulata, and A. melvillei) and partitioning of variation within and among populations. Moreover, these primer sets can be used to compare levels of genetic diversity and structure within species as part of the process of investigating reproductive failure in A. melvillei and A. pendula. The amplification of DNA extracted from adult leaf material and the embryo of seeds enables estimation of mating system parameters and the assessment of the relative past contributions of sexual and asexual reproduction within and among populations and species. In this initial study, we found evidence of inbreeding in all three species, suggesting a history of isolation. We also identified a high degree of clonality in one population of A. melvillei, a phenomenon which, if widespread, may influence the choice of conservation actions. For the threatened A. melvillei, further landscape-level assessment of genetic diversity and structure, across a wider range of populations, will allow us to estimate historic levels of connectivity, identify populations containing novel genotypes, and assess the suitability of strategies such as genetic rescue. Ultimately, such strategies will inform management via translocation or augmentation. Our success in cross-amplifying markers among Acacia species implies that at least some of these primers will be transferable to other acacias. This study represents the first attempt to characterize the genetic structure of these three important overstory Acacia species.

Appendix 1.

Voucher and location information for Acacia spp. Audio assault bulldozer 1 2 download free. populations used in this study. All vouchers were deposited in the Janet Cosh Herbarium at the University of Wollongong, Australia.

Tagr 5 1 0 Mm Equals

LITERATURE CITED

• Arnaud-Haond S., Belkhir K.2007. GENCLONE: A computer program to analyse genotypic data, test for clonality and describe spatial clonal organization. Molecular Ecology Notes7: 15–17. [Google Scholar]
• Batty A., Parsons R.1992. Regeneration of Acacia melvillei in part of semi-arid south-eastern Australia. Proceedings of the Royal Society of Victoria104: 89–97. [Google Scholar]
• Bell S., Peake T., Driscoll C.2007. Dealing with taxonomic uncertainty in Weeping Myall Acacia pendula from the Hunter catchment, New South Wales. Australasian Plant Conservation16: 14–15. [Google Scholar]
• Doyle J. J., Doyle J. L.1987. A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemistry Bulletin19: 11–15. [Google Scholar]
• Faircloth B.2008. MSATCOMMANDER: Detection of microsatellite repeat arrays and automated, locus-specific primer design. Molecular Ecology Resources8: 92–94. [PubMed] [Google Scholar]
• Hayden M. J., Nguyen T. M., Waterman A., Chalmers K. J.2008. Multiplex-Ready PCR: A new method for multiplexed SSR and SNP genotyping. BMC Genomics9: 80. [PMC free article] [PubMed] [Google Scholar]
• Morton S., Stafford Smith D., Friedel M., Griffin G., Pickup G.1995. The stewardship of arid Australia: Ecology and landscape management. Journal of Environmental Management43: 195–217. [Google Scholar]
• NSW Scientific Committee. 2008. Final Determination: Acacia melvillei Shrubland in the Riverina and Murray-Darling Depression bioregions–endangered ecological community. Website http://www.environment.nsw.gov.au/determinations/acacamelvilleiFD.htm [accessed 13 December 2013].
• Roberts D. G., Forrest C. N., Denham A. J., Ayre D. J.2013. Microsatellite markers for vulnerable Australian aridzone Acacias. Conservation Genetics Resources5: 199–201. [Google Scholar]

5 1 Height Cm