Beckman Coulter

Data Quality at the Core

Seamless solutions from sample prep to data acquisition for plant and animal genomics

Our advanced lab automation solutions and high-quality reagents are designed to ensure that the data generated is reproducible and reliable for plant and animal genomics research. With our solutions, researchers can make significant strides in:

	Enhancing breeding programs
	Improving crop yield and quality
	Increasing resistance to diseases and pests
	Promoting sustainable farming practices

In this era of machine learning (ML) and artificial intelligence (AI), lab automation solutions and high-quality reagents play a paramount role in plant and animal genomics. AI and ML models require high-quality, well characterized datasets for accurate predictions and training. By combining our robust lab automation and reagent solutions, researchers can generate the high-quality reproducible data needed for these training sets. With these models unlocked, researchers can accelerate breeding programs and crop improvements and drive toward sustainable agriculture.

Advanced Automation. High-Performance Chemistry. One Trusted Supplier.

The Span-8 pipettor on Biomek Automated Workstations enables low-volume transfers of 0.5 µL with inaccuracy of less than 0.12% and CV* less than 4.58%, and high-volume transfers of 900 µL with inaccuracy of less than 0.102 % and CV* less than 0.392%.
For the low-volume transfer of 0.5 µL using the 384 Multichannel Head, the mean transfer volume for each individual head was less than 0.38% for inaccuracy and CV* was less than 5.06%. The 96 Multichannel Head transferred a high volume of 950 µL with inaccuracy of 0.1% and CV* less than 0.28%.
Echo Acoustic Liquid Handler allows for precise, contact-free acoustic transfers in volumes as small as 2.5 nL.
The Echo 650 Series can lower assay replicate requirements through increased assay precision.

Large deck capacity and on-deck device utilization
Selective tip feature of the multichannel head provides flexibility for both low- and high-throughput applications
Echo Acoustic Liquid Handler allows for fast any-well-to-any-well transfers, enabling previously hours-long DNA/RNA normalization, barcoding, and pooling of libraries down to minutes-scale.

Our experts have integrated 300+ different third-party devices from over 60 manufacturers to transform our liquid handlers into advanced lab automation solutions.

Demonstrated methods available for our lab automation solutions for nucleic acid extraction and purification for various throughput needs

Ideal for nucleic acid extraction, DNA/ RNA from cells, tissue, blood and even challenging formalin-fixed, paraffin-embedded (FFPE) samples.
SPRI technology enables our chemistries to deliver high-performance isolation, purification and cleanup protocols supporting workflows such as Genotyping by Sequencing (GBS), next-generation sequencing (NGS), transcriptome sequencing, nucleic acid quantification and QC, and quantitative PCR to name a few.

Researchers have had successful extractions from small to large (HMW) nucleic acids from various sources as well as from a variety of different organisms, extracting both DNA and RNA from a single sample.
You can use our chemistries with manual and/or fully automated methods on your choice of platforms, for optimum performance, flexibility and scalability.

Automating Plant and Animal Genomics Research Workflows

Solutions That Make It Happen

Driving Data Quality with Sustainability

Echo Acoustic Liquid Handler

Decrease plasticware costs by 75% per year through reduced reaction volumes
Dramatically reduce dependency on single-use plastic pipette tips
Reuse of Echo-qualified plates helps minimize plastic waste

Biomek Automated Workstation

Biomek Software enables tip reuse for reduced plastic tip usage
Biomek tips and consumables are recyclable polypropylene code #5
Eligible for recycling through trade-up programs

Genomic Reagents

Renewable, recyclable paper is used for void fill in packaging

Partnership with Polycarbin

Drive sustainability through closed-loop recycling solutions and low-carbon lab products**

Resources

Access Poster

Miniaturized, fully automated NEBNext Direct® Genotyping Solution using the Biomek i7 Hybrid Automated Workstation in conjunction with the Echo 525 Acoustic Liquid Handler for marker-assisted breeding in plant and animal applications

Download Case Study

NanoGBS: A Miniaturized Procedure for High-Throughput Plant Genotyping-by-Sequencing Library Preparation

Read App Note

A Robust and Efficient Approach for High-Throughput DNA Extraction and Genotyping Across Various Animal Sample Types on Biomek i7 Automated Workstation

View Brochure

Data Quality at the Core: Seamless Solutions from Sample Prep to Data Acquisition for Plant Genomics Workflows

View Brochure

Data Quality at the Core: Seamless Solutions from Sample Prep to Data Acquisition for Animal Genomics Workflows

View Spotlight

Research institute INRAE relies on a unique ‘breed’ of automation technologies and reagents to advance plant and animal genomic science

Citations

Güimil S, Chang HS, Zhu T, Sesma A, Osbourn A, Roux C, Ioannidis V, Oakeley EJ, Docquier M, Descombes P, Briggs SP, Paszkowski U. Comparative transcriptomics of rice reveals an ancient pattern of response to microbial colonization. Proc Natl Acad Sci U S A. 2005 May 31;102(22):8066-70. PMID: 15905328.
Wang H, Bernardo A, St Amand P, Bai G, Bowden RL, Guttieri MJ, Jordan KW. Skim exome capture genotyping in wheat. Plant Genome. 2023 Dec;16(4):e20381. PMID: 37604795.
Li H, Zhu L, Fan R, Li Z, Liu Y, Shaheen A, Nie F, Li C, Liu X, Li Y, Liu W, Yang Y, Guo T, Zhu Y, Bu M, Li C, Liang H, Bai S, Ma F, Guo G, Zhang Z, Huang J, Zhou Y, Song CP. A platform for whole-genome speed introgression from Aegilops tauschii to wheat for breeding future crops. Nat Protoc. 2024 Feb;19(2):281-312. PMID: 38017137.
Schiessl SV, Quezada-Martinez D, Orantes-Bonilla M, Snowdon RJ. Transcriptomics reveal high regulatory diversity of drought tolerance strategies in a biennial oil crop. Plant Sci. 2020 Aug;297:110515. PMID: 32563455.

Eyras E, Reymond A, Castelo R, Bye JM, Camara F, Flicek P, Huckle EJ, Parra G, Shteynberg DD, Wyss C, Rogers J, Antonarakis SE, Birney E, Guigo R, Brent MR. Gene finding in the chicken genome. BMC Bioinformatics. 2005 May 30;6:131. PMID: 15924626.
Ericsen AJ, Starrett GJ, Greene JM, Lauck M, Raveendran M, Deiros DR, Mohns MS, Vince N, Cain BT, Pham NH, Weinfurter JT, Bailey AL, Budde ML, Wiseman RW, Gibbs R, Muzny D, Friedrich TC, Rogers J, O'Connor DH. Whole genome sequencing of SIV-infected macaques identifies candidate loci that may contribute to host control of virus replication. Genome Biol. 2014 Nov 7;15(11):478. PMID: 25418588.
Zemke NR, Armand EJ, Wang W, Lee S, Zhou J, Li YE, Liu H, Tian W, Nery JR, Castanon RG, Bartlett A, Osteen JK, Li D, Zhuo X, Xu V, Miller M, Krienen FM, Zhang Q, Taskin N, Ting J, Feng G, McCarroll SA, Callaway EM, Wang T, Behrens MM, Lein ES, Ecker JR, Ren B. Comparative single cell epigenomic analysis of gene regulatory programs in the rodent and primate neocortex. bioRxiv [Preprint]. 2023 Apr 8:2023.04.08.536119. PMID: 37066152.
Zhu Y, Scheibinger M, Ellwanger DC, Krey JF, Choi D, Kelly RT, Heller S, Barr-Gillespie PG. Single-cell proteomics reveals changes in expression during hair-cell development. Elife. 2019 Nov 4;8:e50777. PMID: 31682227
Chaka H, Goutard F, Gil P, Abolnik C, Servan de Almeida R, Bisschop S, Thompson PN. Serological and molecular investigation of Newcastle disease in household chicken flocks and associated markets in Eastern Shewa zone, Ethiopia. Trop Anim Health Prod. 2013 Mar;45(3):705-14. PMID: 23054806.

Marques R, Darnaude AM, Crochemore S, Bouvier C, Bonnet D. Molecular approach indicates consumption of jellyfish by commercially important fish species in a coastal Mediterranean lagoon. Mar Environ Res. 2019 Dec;152:104787. PMID: 31522875.

Torkamaneh D, Boyle B, St-Cyr J, Légaré G, Pomerleau S, Belzile F. NanoGBS: A Miniaturized Procedure for GBS Library Preparation. Front Genet. 2020 Feb 18;11:67.PMID: 32133028
Mann DGJ, Bevan SA, Harvey AJ, Leffert-Sorenson RA. The Use of an Automated Platform to Assemble Multigenic Constructs for Plant Transformation. Methods Mol Biol. 2019;1864:19-35. PMID: 30415326.
Cole BJ, Feltcher ME, Waters RJ, Wetmore KM, Mucyn TS, Ryan EM, Wang G, Ul-Hasan S, McDonald M, Yoshikuni Y, Malmstrom RR, Deutschbauer AM, Dangl JL, Visel A. Genome-wide identification of bacterial plant colonization genes. PLoS Biol. 2017 Sep 22;15(9):e2002860. PMID: 28938018.

Minich JJ, Petrus S, Michael JD, Michael TP, Knight R, Allen EE. Temporal, Environmental, and Biological Drivers of the Mucosal Microbiome in a Wild Marine Fish, Scomber japonicus. mSphere. 2020 May 20;5(3):e00401-20. PMID: 32434844.

AMPure XP

Duressa D, Rauscher G, Koike ST, Mou B, Hayes RJ, Maruthachalam K, Subbarao KV, Klosterman SJ. A real-time PCR assay for detection and quantification of Verticillium dahliae in spinach seed. Phytopathology. 2012 Apr;102(4):443-51. PMID: 22236050.
Puchta M, Boczkowska M, Groszyk J. Low RIN Value for RNA-Seq Library Construction from Long-Term Stored Seeds: A Case Study of Barley Seeds. Genes (Basel). 2020 Oct 13;11(10):1190. PMID: 33066221

Prakash MA, Kumaresan A, Sinha MK, Kamaraj E, Mohanty TK, Datta TK, Morrell JM. RNA-Seq analysis reveals functionally relevant coding and non-coding RNAs in crossbred bull spermatozoa. Anim Reprod Sci. 2020 Nov;222:106621. PMID: 33069132.
Dhorne-Pollet S, Barrey E, Pollet N. A new method for long-read sequencing of animal mitochondrial genomes: application to the identification of equine mitochondrial DNA variants. BMC Genomics. 2020 Nov 11;21(1):785. PMID: 33176683.
Foissac S, Djebali S, Munyard K, Vialaneix N, Rau A, Muret K, Esquerré D, Zytnicki M, Derrien T, Bardou P, Blanc F, Cabau C, Crisci E, Dhorne-Pollet S, Drouet F, Faraut T, Gonzalez I, Goubil A, Lacroix-Lamandé S, Laurent F, Marthey S, Marti-Marimon M, Momal-Leisenring R, Mompart F, Quéré P, Robelin D, Cristobal MS, Tosser-Klopp G, Vincent-Naulleau S, Fabre S, Pinard-Van der Laan MH, Klopp C, Tixier-Boichard M, Acloque H, Lagarrigue S, Giuffra E. Multi-species annotation of transcriptome and chromatin structure in domesticated animals. BMC Biol. 2019 Dec 30;17(1):108. PMID: 31884969.

SPRIselect

Archacki R. Finding a good balance: two distinct chromatin factors fine-tune stress response in Arabidopsis seedlings. New Phytol. 2024 Jan;241(1):7-9. PMID: 37919230.
Ibañez VN, van Antro M, Peña-Ponton C, Milanovic-Ivanovic S, Wagemaker CAM, Gawehns F, Verhoeven KJF. Environmental and genealogical effects on DNA methylation in a widespread apomictic dandelion lineage. J Evol Biol. 2023 Apr;36(4):663-674.PMID: 36810811.

CosMCPrep and RNAClean XP

Saski CA, Scheffler BE, Hulse-Kemp AM, Liu B, Song Q, Ando A, Stelly DM, Scheffler JA, Grimwood J, Jones DC, Peterson DG, Schmutz J, Chen ZJ. Sub genome anchored physical frameworks of the allotetraploid Upland cotton (Gossypium hirsutum L.) genome, and an approach toward reference-grade assemblies of polyploids. Sci Rep. 2017 Nov 10;7(1):15274. PMID: 29127298

Fujimoto S, Yamanaka K, Tanegashima C, Nishimura O, Kuraku S, Kuratani S, Irie N. Measuring potential effects of the developmental burden associated with the vertebrate notochord. J Exp Zool B Mol Dev Evol. 2022 Jan;338(1-2):129-136. PMID: 33689235

DNAdvance

Yao Z, You FM, N'Diaye A, Knox RE, McCartney C, Hiebert CW, Pozniak C, Xu W. Evaluation of variant calling tools for large plant genome re-sequencing. BMC Bioinformatics. 2020 Aug 17;21(1):360. PMID: 32807073
Zhao H, Li Y, Petkowski J, Kant S, Hayden MJ, Daetwyler HD. Genomic prediction and genomic heritability of grain yield and its related traits in a safflower genebank collection. Plant Genome. 2021 Mar;14(1):e20064. PMID: 33140563.
He F, Pasam R, Shi F, Kant S, Keeble-Gagnere G, Kay P, Forrest K, Fritz A, Hucl P, Wiebe K, Knox R, Cuthbert R, Pozniak C, Akhunova A, Morrell PL, Davies JP, Webb SR, Spangenberg G, Hayes B, Daetwyler H, Tibbits J, Hayden M, Akhunov E. Publisher Correction: Exome sequencing highlights the role of wild-relative introgression in shaping the adaptive landscape of the wheat genome. Nat Genet. 2019 Jul;51(7):1194. PMID: 31197271.
Bittleston LS, Gralka M, Leventhal GE, Mizrahi I, Cordero OX. Context-dependent dynamics lead to the assembly of functionally distinct microbial communities. Nat Commun. 2020 Mar 18;11(1):1440. PMID: 32188849

RNAdvance

Weissenböck H, Ebinger A, Gager AM, Thaller D, Höper D, Lichtmannsperger K, Weissenbacher-Lang C, Matt J, Beer M. A novel enterovirus in lambs with poliomyelitis and brain stem encephalitis. Transbound Emerg Dis. 2022 Mar;69(2):227-234. PMID: 34874614.

Data Quality at the Core. Scale and grow your lab with our automated liquid handling solutions and genomic reagent kits.

*The Artel Multichannel Verification System (MVS®) is routinely used to verify accuracy and precision in volume transfers across liquid handlers. It is a NIST (National Institute of Standards and Technology) traceable system. The Artel company has successfully shown low-volume pipetting with calibrating techniques by adjusting offsets and slopes.

**This partnership is ONLY available in North America

These products are not intended or validated for use in the diagnosis of disease or other conditions.

© 2024 Beckman Coulter, Inc. All rights reserved. Beckman Coulter, the stylized logo, and the Beckman Coulter product and service marks mentioned herein, including Biomek, are trademarks or registered trademarks of Beckman Coulter, Inc. in the United States and other countries. Echo and Access are trademarks or registered trademarks of Labcyte Inc. in the United States and other countries. Labcyte is a Beckman Coulter company. All other trademarks are the property of their respective owners.