Plant Genome Research Research Articles

Research challenges during the COVID-19 pandemic: The experience of a functional genomics laboratory

<p>Measures to mitigate and prevent COVID-19 infections included closing universities around the world for an indefinite time and transferring their educational activities to online platforms. Universities were not prepared for such a transition and the online teaching-learning process evolved gradually. Fortunately, there have been many advances in educational technology in recent decades which proved useful during this pandemic. I am proud that the National School of Higher Studies (Escuela Nacional de Estudios Superiores, ENES), Unidad León, of the National Autonomous University of Mexico (UNAM), was one of the institutions that was able to make this digital transition. Basic research has faced its own challenges during the current pandemic. My laboratory does functional genomics research in plants with undergraduate and master’s students. The experiments of the students were at different stages when the pandemic began and could not stop going to the laboratory due to the need to care for experimental plants and cell cultures. Different strategies were developed to maintain research activities, such as: 1) Scheduling research shifts to promote social distancing, 2) Postponing non-essential experiments, 3) Rationing research supplies that were in short supply during the pandemic. Personally, I consider that the use of digital platforms has also generated unexpected opportunities such as new types of scientific collaboration. I had enough free time to edit student theses, write and publish research articles. Interestingly, the students in my work team have participated in virtual international scientific conferences, the only format that evolved during this pandemic. Digital platforms allowed tutors to be in constant contact with students to advise and support them emotionally. The students in my laboratory have been through difficult times. I asked them to tell their story in their own words (These can be read in the student’s section. Editor’s Note).</p>

Populus trichocarpa (Black Cottonwood) As a Model for Plant Genomic Studies: A Review

Numerous plants have been the subject of recent research in the pharmacological, cosmetic, and agro-alimentary domains due to their chemical composition and multiple therapeutic capabilities. Populus trichocarpa is one of the most common trees found in deciduous forests (Salicaceae family). The current study examines Populus trichocarpa as a model plant for plant genomics research, as well as the most recent findings on phytochemical composition and medicinal potential. More than 45,000 potential protein-coding genes were discovered. In the Populus genome, a whole-genome duplication event was discovered, with approximately 8,000 pairs of duplicated genes surviving. Furthermore, the reproductive biology of Populus provides new opportunities and challenges in the study and analysis of natural genetic and phenotypic variation. In the present review, we endeavour to describe and compile the available knowledge on Populus trichocarpa as a model plant for genomic investigations and to bring that material up to date of Populus trichocarpa's phytochemical and medicinal properties.

Plant genomics in Africa: present and prospects.

Plants are the world's most consumed goods. They are of high economic value and bring many health benefits. In most countries in Africa, the supply and quality of food will rise to meet the growing population's increasing demand. Genomics and other biotechnology tools offer the opportunity to improve subsistence crops and medicinal herbs in the continent. Significant advances have been made in plant genomics, which have enhanced our knowledge of the molecular processes underlying both plant quality and yield. The sequencing of complex genomes of African plant species, facilitated by the continuously evolving next-generation sequencing technologies and advanced bioinformatics approaches, has provided new opportunities for crop improvement. This review summarizes the achievements of genome sequencing projects of endemic African plants in the last two decades. We also present perspectives and challenges for future plant genomic studies that will accelerate important plant breeding programs for African communities. These challenges include a lack of basic facilities, a lack of sequencing and bioinformatics facilities, and a lack of skills to design genomics studies. However, it is imperative to state that African countries have become key players in the plant genome revolution and genome derived-biotechnology. Therefore, African governments should invest in public plant genomics research and applications, establish bioinformatics platforms and training programs, and stimulate university and industry partnerships to fully deploy plant genomics, particularly in the fields of agriculture and medicine.

Advancing crop genomics from lab to field.

Crop genomics remains a key element in ensuring scientific progress to secure global food security. It has been two decades since the sequence of the first plant genome, that of Arabidopsis thaliana, was released, and soon after that the draft sequencing of the rice genome was completed. Since then, the genomes of more than 100 crops have been sequenced, plant genome research has expanded across multiple fronts and the next few years promise to bring further advances spurred by the advent of new technologies and approaches. We are likely to see continued innovations in crop genome sequencing, genetic mapping and the acquisition of multiple levels of biological data. There will be exciting opportunities to integrate genome-scale information across multiple scales of biological organization, leading to advances in our mechanistic understanding of crop biological processes, which will, in turn, provide greater impetus for translation of laboratory results to the field.

Jagadis Gupta Kapuganti

Jagadis Gupta Kapuganti

Anno genominis XX: 20 years of Arabidopsis genomics.

Twenty years ago, the Arabidopsis thaliana genome sequence was published. This was an important moment as it was the first sequenced plant genome and explicitly brought plant science into the genomics era. At the time, this was not only an outstanding technological achievement, but it was characterized by a superb global collaboration. The Arabidopsis genome was the seed for plant genomic research. Here, we review the development of numerous resources based on the genome that have enabled discoveries across plant species, which has enhanced our understanding of how plants function and interact with their environments.

Application of Genomic Big Data in Plant Breeding:Past, Present, and Future.

Plant breeding has a long history of developing new varieties that have ensured the food security of the human population. During this long journey together with humanity, plant breeders have successfully integrated the latest innovations in science and technologies to accelerate the increase in crop production and quality. For the past two decades, since the completion of human genome sequencing, genomic tools and sequencing technologies have advanced remarkably, and adopting these innovations has enabled us to cost down and/or speed up the plant breeding process. Currently, with the growing mass of genomic data and digitalized biological data, interdisciplinary approaches using new technologies could lead to a new paradigm of plant breeding. In this review, we summarize the overall history and advances of plant breeding, which have been aided by plant genomic research. We highlight the key advances in the field of plant genomics that have impacted plant breeding over the past decades and introduce the current status of innovative approaches such as genomic selection, which could overcome limitations of conventional breeding and enhance the rate of genetic gain.

The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition.

BackgroundThe FAIR data principle as a commitment to support long-term research data management is widely accepted in the scientific community. Although the ELIXIR Core Data Resources and other established infrastructures provide comprehensive and long-term stable services and platforms for FAIR data management, a large quantity of research data is still hidden or at risk of getting lost. Currently, high-throughput plant genomics and phenomics technologies are producing research data in abundance, the storage of which is not covered by established core databases. This concerns the data volume, e.g., time series of images or high-resolution hyper-spectral data; the quality of data formatting and annotation, e.g., with regard to structure and annotation specifications of core databases; uncovered data domains; or organizational constraints prohibiting primary data storage outside institional boundaries.ResultsTo share these potentially dark data in a FAIR way and master these challenges the ELIXIR Germany/de.NBI service Plant Genomic and Phenomics Research Data Repository (PGP) implements a “bring the infrastructure to the data” approach, which allows research data to be kept in place and wrapped in a FAIR-aware software infrastructure. This article presents new features of the e!DAL infrastructure software and the PGP repository as a best practice on how to easily set up FAIR-compliant and intuitive research data services. Furthermore, the integration of the ELIXIR Authentication and Authorization Infrastructure (AAI) and data discovery services are introduced as means to lower technical barriers and to increase the visibility of research data.ConclusionThe e!DAL software matured to a powerful and FAIR-compliant infrastructure, while keeping the focus on flexible setup and integration into existing infrastructures and into the daily research process.

TIAs pathway genes and associated miRNA identification in Vinca minor: supporting aspidosperma and eburnamine alkaloids linkage via transcriptomic analysis.

V. minor contains monomeric eburnamine-type of indole alkaloids having utilization as a neuro-medicinal plant. The biosynthetic pathway studies using miRNAs has been the focal point for plant genomic research in recent years and this technique is utilized to get an insight into a possible pathway level study in V. minor as understanding of genes in this prized medicinal plant is meagrely understood. The de novo transcriptomic analysis using Illumina Next gen sequencing has been performed in glasshouse shifted plant and transformed roots to elucidate the possible non confirmed steps of terpenoid indole alkaloids (TIAs) pathway in V. minor. A putative TIA pathway is elucidated in the study including twelve possible TIAs biosynthetic genes. The specific miRNA associated with TIAs pathway were identified and their roles were discussed for the first time in V. minor. The comparative analysis of transcriptomic data of glasshouse shifted plant and transformed roots showed that the raw reads of transformed roots were higher (83,740,316) compared to glasshouse shifted plant (67,733,538). The EST-SSR prediction showed the maximum common repeats among glasshouse shifted plant and transformed roots, although small variation was found in trinucleotide repeats restricted to glasshouse shifted plant. The study reveals overall 37 miRNAs which were observed to be true and can have a role in pathway as they can regulate the growth and alkaloid production. The identification of putative pathway genes plays an important role in establishing linkage between Aspidosperma and Eburnamine alkaloids.

Ancient Plant Genomics in Archaeology, Herbaria, and the Environment.

The ancient DNA revolution of the past 35 years has driven an explosion in the breadth, nuance, and diversity of questions that are approachable using ancient biomolecules, and plant research has been a constant, indispensable facet of these developments. Using archaeological, paleontological, and herbarium plant tissues, researchers have probed plant domestication and dispersal, plant evolution and ecology, paleoenvironmental composition and dynamics, and other topics across related disciplines. Here, we review the development of the ancient DNA discipline and the role of plant research in its progress and refinement. We summarize our understanding of long-term plant DNA preservation and the characteristics of degraded DNA. In addition, we discuss challenges in ancient DNA recovery and analysis and the laboratory and bioinformatic strategies used to mitigate them. Finally, we review recent applications of ancient plant genomic research.

CRISPR/Cas9-mediated targeted mutagenesis for functional genomics research of crassulacean acid metabolism plants.

Crassulacean acid metabolism (CAM) is an important photosynthetic pathway in diverse lineages of plants featuring high water-use efficiency and drought tolerance. A big challenge facing the CAM research community is to understand the function of the annotated genes in CAM plant genomes. Recently, a new genome editing technology using CRISPR/Cas9 has become a more precise and powerful tool than traditional approaches for functional genomics research in C3 and C4 plants. In this study, we explore the potential of CRISPR/Cas9 to characterize the function of CAM-related genes in the model CAM species Kalanchoë fedtschenkoi. We demonstrate that CRISPR/Cas9 is effective in creating biallelic indel mutagenesis to reveal previously unknown roles of blue light receptor phototropin 2 (KfePHOT2) in the CAM pathway. Knocking out KfePHOT2 reduced stomatal conductance and CO2 fixation in late afternoon and increased stomatal conductance and CO2 fixation during the night, indicating that blue light signaling plays an important role in the CAM pathway. Lastly, we provide a genome-wide guide RNA database targeting 45 183 protein-coding transcripts annotated in the K. fedtschenkoi genome.

Genetic Mapping of Prince Rupprecht's Larch (Larix principis-rupprechtii Mayr) by Specific-Locus Amplified Fragment Sequencing.

A high-density genetic linkage map is essential for plant genetics and genomics research. However, due to the deficiency of genomic data and high-quality molecular markers, no genetic map has been published for Prince Rupprecht’s larch (Larix principis-rupprechtii Mayr), a conifer species with high ecological and commercial value in northern China. In this study, 145 F1 progeny individuals from an intraspecific cross between two elite clones of L. principis-rupprechtii and their parents were employed to construct the first genetic map in this important tree species using specific-locus amplified fragment sequencing (SLAF-seq). After preprocessing, the procedure yielded 300.20 Gb of raw data containing 1501.22 M pair-end reads. A total of 324,352 SNP markers were detected and 122,785 of them were polymorphic, with a polymorphism rate of 37.86%. Ultimately, 6099 SNPs were organized into a genetic map containing 12 linkage groups, consistent with the haploid chromosome number of larch and most other species in the Pinaceae family. The linkage map spanned 2415.58 cM and covered 99.6% of the L. principis-rupprechtii genome with an average of 0.4 cM between adjacent markers. To the best of our knowledge, this map is the first reference map for L. principis-rupprechtii, as well as the densest one obtained in larch species thus far. The genome-wide SNPs and the high-resolution genetic map will provide a foundation for future quantitative trait loci mapping, map-based cloning, marker-assisted selection, comparative genomics, and genome sequence assembly for larch trees.

Molecular digitization of a botanical garden: high-depth whole-genome sequencing of 689 vascular plant species from the Ruili Botanical Garden.

BackgroundGenome sequencing has been widely used in plant research to construct reference genomes and provide evolutionary insights. However, few plant species have had their whole genome sequenced, thus restraining the utility of these data. We collected 1,093 samples of vascular plant species growing in the Ruili Botanical Garden, located in southwest China. Of these, we sequenced 761 samples and collected voucher specimens stored in the Herbarium of China National GeneBank.ResultsThe 761 sequenced samples represented 689 vascular plant species from 137 families belonging to 49 orders. Of these, 257 samples were identified to the species level and 504 to the family level, using specimen and chloroplast sequences. In total, we generated 54 Tb of sequencing data, with an average sequencing depth of 60X per species, as estimated from genome sizes. A reference phylogeny was reconstructed with 78 chloroplast genes for molecular identification and other possible applications.ConclusionsThe large dataset of vascular plant genomes generated in this study, which includes both high-depth whole-genome sequencing data and associated voucher specimens, is valuable for plant genome research and other applications. This project also provides insight into the feasibility and technical requirements for “planetary-scale” projects such as the 10,000 Plant Genomes Project and the Earth BioGenome Project.

BiBAC Modification and Stable Transfer into Maize (Zea mays) Hi-II Immature Embryos via Agrobacterium-Mediated Transformation.

Binary Bacterial Artificial Chromosomes (BiBAC) are large insert cloning vectors that contain the necessary features required for Agrobacterium-mediated transformation. However, the large size of BiBACs and low-copy number in Escherichia coli (DH10B) and Agrobacterium tumefaciens make cloning experiments more difficult than other available binary vector systems. Therefore, a protocol that outlines preparation, modification, and transformation of high-molecular weight (HMW) constructs is advantageous for researchers looking to use BiBACs in plant genomics research. This unit does not cover the cloning of HMW DNA into BiBAC vectors. Researchers looking to clone HMW DNA into BiBACs can refer to Zhang etal. (2012; doi: 10.1038/nprot.2011.456). © 2017 by John Wiley & Sons, Inc.

Cataloging Plant Genome Structural Variations.

Structural variation (SV) is a type of genetic variation identified through the comparison of genome structures which often have direct and significant associations with phenotypic variations. Building on the next generation sequencing (NGS) technologies, research on plant structural variations are gaining momentum and have revolutionized our view on the functional impact of the 'hidden' diversity that were largely understudied before. Herein, we first describe the current state of plant genomic SV research based on NGS and in particular focus on the biological insights gained from the large-scale identification of various types of plant SVs. Specific examples are chosen to demonstrate the genetic basis for phenotype diversity in model plant and major agricultural crops. Additionally, development of new genomic mapping technologies, including optical mapping and long read sequencing, as well as improved computational algorithms associated with these technologies have helped to pinpoint the exact nature and location of genomic SVs with much better resolution and precision. Future direction of plant research on SVs should focus on the population level to build a comprehensive catalog of SVs, leading to full assessment of their impact on biological diversity.

Decoded Rice Genome for Decipherment of Origin, Domestication and Functional Attributes of Rice

Rice is inseparable part of Indian culture and life. It is also a staple not only for India but for major world population, especially in developing nations. Out of about 450 million tons of milled rice produced world-wide in 2015, more than 100 million tons has been produced in India. The sequence of its 12 chromosomes was decoded under the auspices of an International Rice Genome Sequencing Project (IRGSP), involving ten nations including India. Indian Initiative on Rice Genome Sequencing (IIRGS) supported by the Government of India related to chromosome 11 and was the first Indian effort on high-throughput genome-wide sequencing. The present day rice genome of about 400 Mb has resulted from whole genome, segmental and tandem duplications. Non-shattering seeds and white seed are some of the traits distinguishing domesticated from wild rice. Interestingly, these traits are due to the presence of certain alleles most likely selected by human beings long ago. Rice cultivation possibly began in South-central China near Yangtze river several thousands years ago. Other evidences suggest Ganges river valley as origin of rice cultivation. Some genetic evidences also suggest possibility of hybridization between Japonica and native wild rice. While global occurrence of certain alleles for domestication traits (shattering and pericarp colour) reflects on single domestication event, recent genome-wide analysis indicates multiple domestication events. Decoded rice genome has served as an invaluable resource for structural and functional annotation of about 32,000 genes in rice and, so far, function of over 2,000 genes has been unraveled by forward and reverse genetics approaches. By deploying, microarray-based transcriptome profiling, over-expression and knock-down transgenics, association and molecular mapping, and haplotyping approaches, we have defined evolution, phylogenetic relationship and composition of over 25 gene families along with biological function of several selected genes and regulatory elements related to seed development, male-sterility, hybrid vigour and stress tolerance. This is expected to help genetic enhancement of rice. The Rice Genome representation included here is prepared by Dr. S. Parida, NIPGR. * National Institute of Plant Genome Research, New Delhi 110067; Email: akhilesh@genomeindia.org Indian Journal of History of Science, 51.2.2 (2016) 354 DOI: 10.16943/ijhs/2016/v51i2.2/48448 DECODING RICE GENOME

Bioinformatics Approach in Plant Genomic Research.

The advance in genomics technology leads to the dramatic change in plant biology research. Plant biologists now easily access to enormous genomic data to deeply study plant high-density genetic variation at molecular level. Therefore, fully understanding and well manipulating bioinformatics tools to manage and analyze these data are essential in current plant genome research. Many plant genome databases have been established and continued expanding recently. Meanwhile, analytical methods based on bioinformatics are also well developed in many aspects of plant genomic research including comparative genomic analysis, phylogenomics and evolutionary analysis, and genome-wide association study. However, constantly upgrading in computational infrastructures, such as high capacity data storage and high performing analysis software, is the real challenge for plant genome research. This review paper focuses on challenges and opportunities which knowledge and skills in bioinformatics can bring to plant scientists in present plant genomics era as well as future aspects in critical need for effective tools to facilitate the translation of knowledge from new sequencing data to enhancement of plant productivity.

Global Trends in Plant Genomics Research to Improve Crop Productivity at PAG XXIV Conference

Other SectionsAbstractINTRODUCTIONFLOWERING TIME VS. BIOMASSGRAIN YIELDPHOTOSYNTHESIS VS. BIOMASSLIGNIFICATION AND BIOMASSPLANT-ASSOCIATED MICROBESBIOTIC AND ABIOTIC STRESSESDROUGHT STRESSCADMIUMELEVATED OZONE CONCENTRATIONFigureTableReference

Global Trends in Plant Genomics Research to Improve Crop Productivity at PAG XXIV Conference

Other SectionsAbstractINTRODUCTIONFLOWERING TIME VS. BIOMASSGRAIN YIELDPHOTOSYNTHESIS VS. BIOMASSLIGNIFICATION AND BIOMASSPLANT-ASSOCIATED MICROBESBIOTIC AND ABIOTIC STRESSESDROUGHT STRESSCADMIUMELEVATED OZONE CONCENTRATIONFigureTableReference

PGP repository: a plant phenomics and genomics data publication infrastructure.

Plant genomics and phenomics represents the most promising tools for accelerating yield gains and overcoming emerging crop productivity bottlenecks. However, accessing this wealth of plant diversity requires the characterization of this material using state-of-the-art genomic, phenomic and molecular technologies and the release of subsequent research data via a long-term stable, open-access portal. Although several international consortia and public resource centres offer services for plant research data management, valuable digital assets remains unpublished and thus inaccessible to the scientific community. Recently, the Leibniz Institute of Plant Genetics and Crop Plant Research and the German Plant Phenotyping Network have jointly initiated the Plant Genomics and Phenomics Research Data Repository (PGP) as infrastructure to comprehensively publish plant research data. This covers in particular cross-domain datasets that are not being published in central repositories because of its volume or unsupported data scope, like image collections from plant phenotyping and microscopy, unfinished genomes, genotyping data, visualizations of morphological plant models, data from mass spectrometry as well as software and documents.The repository is hosted at Leibniz Institute of Plant Genetics and Crop Plant Research using e!DAL as software infrastructure and a Hierarchical Storage Management System as data archival backend. A novel developed data submission tool was made available for the consortium that features a high level of automation to lower the barriers of data publication. After an internal review process, data are published as citable digital object identifiers and a core set of technical metadata is registered at DataCite. The used e!DAL-embedded Web frontend generates for each dataset a landing page and supports an interactive exploration. PGP is registered as research data repository at BioSharing.org, re3data.org and OpenAIRE as valid EU Horizon 2020 open data archive. Above features, the programmatic interface and the support of standard metadata formats, enable PGP to fulfil the FAIR data principles—findable, accessible, interoperable, reusable.Database URL: http://edal.ipk-gatersleben.de/repos/pgp/