Evidence map›Paper›PMID 11514457›Full record

ArticleGenetics2001

Bacterial artificial chromosome-based physical map of the rice genome constructed by restriction fingerprint analysis.

Q Tao, Y L Chang, J Wang, H Chen, M N Islam-Faridi, C Scheuring, B Wang, D M Stelly, H B Zhang

Abstract read
In one paragraph

Article in Genetics, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

  1. Article
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  9. A Comparative BAC map for the gilthead sea bream (Sparus aurata L.).Journal of biomedicine & biotechnology · 2011
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  19. Recent advances in cotton genomics.International journal of plant genomics · 2008
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Q TaoDepartment of Soil and Crop Sciences and Crop Biotechnology Center, Texas A&M University, College Station, TX 77843-2123, USA.
Y L Chang
J Wang
H Chen
M N Islam-Faridi
C Scheuring
B Wang
D M Stelly
H B Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide physical mapping with bacteria-based large-insert clones (e.g., BACs, PACs, and PBCs) promises to revolutionize genomics of large, complex genomes. To accelerate rice and other grass species genome research, we developed a genome-wide BAC-based map of the rice genome. The map consists of 298 BAC contigs and covers 419 Mb of the 430-Mb rice genome. Subsequent analysis indicated that the contigs constituting the map are accurate and reliable. Particularly important to proficiency were (1) a high-resolution, high-throughput DNA sequencing gel-based electrophoretic method for BAC fingerprinting, (2) the use of several complementary large-insert BAC libraries, and (3) computer-aided contig assembly. It has been demonstrated that the fingerprinting method is not significantly influenced by repeated sequences, genome size, and genome complexity. Use of several complementary libraries developed with different restriction enzymes minimized the "gaps" in the physical map. In contrast to previous estimates, a clonal coverage of 6.0-8.0 genome equivalents seems to be sufficient for development of a genome-wide physical map of approximately 95% genome coverage. This study indicates that genome-wide BAC-based physical maps can be developed quickly and economically for a variety of plant and animal species by restriction fingerprint analysis via DNA sequencing gel-based electrophoresis.

Indexed as

Genome, PlantPhysical Chromosome MappingRestriction MappingChromosomes, Artificial, BacterialContig MappingDNAGene LibraryGenetic MarkersModels, GeneticOryzaDNAGenetic Markers

Identifiers

PMID11514457
PMCPMC1461754

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.