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Plant Genomics

Overview of attention for book
Cover of 'Plant Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 CRISPR/Cas-Mediated In Planta Gene Targeting
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    Chapter 2 User Guide for the LORE1 Insertion Mutant Resource
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    Chapter 3 Enabling Reverse Genetics in Medicago truncatula Using High-Throughput Sequencing for Tnt1 Flanking Sequence Recovery
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    Chapter 4 The Generation of Doubled Haploid Lines for QTL Mapping
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    Chapter 5 Assessing Distribution and Variation of Genome-Wide DNA Methylation Using Short-Read Sequencing
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    Chapter 6 Circular Chromosome Conformation Capture in Plants
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    Chapter 7 Genome-Wide Profiling of Histone Modifications and Histone Variants in Arabidopsis thaliana and Marchantia polymorpha
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    Chapter 8 Tissue-Specific Transcriptome Profiling in Arabidopsis Roots
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    Chapter 9 Sample Preparation Protocols for Protein Abundance, Acetylome, and Phosphoproteome Profiling of Plant Tissues
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    Chapter 10 Automated High-Throughput Root Phenotyping of Arabidopsis thaliana Under Nutrient Deficiency Conditions
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    Chapter 11 Large-Scale Phenotyping of Root Traits in the Model Legume Lotus japonicus
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    Chapter 12 Long-Term Confocal Imaging of Arabidopsis thaliana Roots for Simultaneous Quantification of Root Growth and Fluorescent Signals
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    Chapter 13 Identification of Protein–DNA Interactions Using Enhanced Yeast One-Hybrid Assays and a Semiautomated Approach
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    Chapter 14 Mapping Protein-Protein Interaction Using High-Throughput Yeast 2-Hybrid
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    Chapter 15 Mapping Protein–Protein Interactions Using Affinity Purification and Mass Spectrometry
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    Chapter 16 Measuring Protein Movement, Oligomerization State, and Protein-Protein Interaction in Arabidopsis Roots Using Scanning Fluorescence Correlation Spe..
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    Chapter 17 Studying Protein–Protein Interactions In Planta Using Advanced Fluorescence Microscopy
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    Chapter 18 Chemiluminescence-Based Detection of Peptide Activity and Peptide-Receptor Binding in Plants
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    Chapter 19 Application of Chemical Genomics to Plant–Bacteria Communication: A High-Throughput System to Identify Novel Molecules Modulating the Induction of Bacterial Virulence Genes by Plant Signals
Attention for Chapter 3: Enabling Reverse Genetics in Medicago truncatula Using High-Throughput Sequencing for Tnt1 Flanking Sequence Recovery
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Chapter title
Enabling Reverse Genetics in Medicago truncatula Using High-Throughput Sequencing for Tnt1 Flanking Sequence Recovery
Chapter number 3
Book title
Plant Genomics
Published in
Methods in molecular biology, April 2017
DOI 10.1007/978-1-4939-7003-2_3
Pubmed ID
Book ISBNs
978-1-4939-7001-8, 978-1-4939-7003-2
Authors

Cheng, Xiaofei, Krom, Nick, Zhang, Shulan, Mysore, Kirankumar S., Udvardi, Michael, Wen, Jiangqi, Xiaofei Cheng, Nick Krom, Shulan Zhang, Kirankumar S. Mysore, Michael Udvardi, Jiangqi Wen

Editors

Wolfgang Busch

Abstract

The genome sequence of Medicago truncatula was published and released in 2011. A Tnt1 insertional mutant population with 21,700 independently regenerated lines was completed in 2012 at The Samuel Roberts Noble Foundation. With an estimated 25 insertions per line, the Tnt1 mutant population harbors more than 500,000 insertions in the M. truncatula genome. Based on the genome size, average gene length, and random insertion of Tnt1into the genome, the mutant population affects about 90% of genes in the M. truncatula genome. Therefore, the mutant population enables functional characterization of most genes in the M. truncatula genome. From 2006 to 2011, we sequenced about 33,000 flanking sequence tags (FSTs) from 2600 Tnt1 lines using TAIL-PCR followed by TA cloning, plasmid isolation, and traditional Sanger sequencing. To accelerate FST sequencing, we developed a two-dimensional DNA pooling strategy coupled with next-generation sequencing and produced about 380,000 FSTs from all 21,700 lines in a relatively short time. All FSTs are BLAST searchable in a web-based database. One can quickly search the database to find M. truncatula mutant lines with Tnt1 insertions in most genes of interest.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Ph. D. Student 1 14%
Lecturer 1 14%
Other 1 14%
Unknown 2 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 57%
Biochemistry, Genetics and Molecular Biology 1 14%
Unknown 2 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 April 2017.
All research outputs
#9,774,348
of 12,755,215 outputs
Outputs from Methods in molecular biology
#3,754
of 8,372 outputs
Outputs of similar age
#172,127
of 259,792 outputs
Outputs of similar age from Methods in molecular biology
#11
of 36 outputs
Altmetric has tracked 12,755,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,372 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.