Evidence map›Paper›PMID 25303854›Full record

ArticleProtoplasma2015

Heterochromatin characterization through differential fluorophore binding pattern in some species of Vigna Savi.

Anju Shamurailatpam, Latha Madhavan, Shrirang Ramachandra Yadav, Kangila Venkatraman Bhat, Satyawada Rama Rao

Abstract read
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In one paragraph

Article in Protoplasma, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 19% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Anju ShamurailatpamDepartment of Biotechnology and Bioinformatics, North Eastern Hill University, Shillong, 793022, India.
Latha Madhavan
Shrirang Ramachandra Yadav
Kangila Venkatraman Bhat
Satyawada Rama Rao
National Bureau of Plant Genetic Resources · INNorth Eastern Hill University · INShivaji University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterochromatin regions are the most intensively studied and best known chromosome markers in plants. In Vigna species, blocks of constitutive heterochromatin were found either in the terminal or interstitial region of the chromosomes. The number and distribution of CMA(+) and DAPI(+) binding sites exhibit high chromosomal variability with characteristic unique banding patterns in all the eight taxa. A predominant feature was observed, i.e., most of the CMA(+) binding sites were in the terminal region of the short arm of some chromosomes while DAPI(+) binding sites were found mostly in the intercalary region of the chromosomes. The higher divergence in the heterochromatin blocks, as revealed by chromomycin A3 (CMA) binding pattern, in a few taxa, viz. Vigna glabrescens, Vigna khandalensis, and Vigna mungo, suggests that the processes of divergent evolution of repetitive sequences in genomic DNA involve a guanine-cytosine (GC)-rich region. On the contrary, Vigna dalzelliana had shown a prominent adenine-thymine (AT)-rich repetitive DNA sequence in terminal regions in the short arm of chromosomes while Vigna umbellata had shown in interstitial regions. The presence of prominent heterochromatic-rich regions, either GC- or AT-rich regions, does facilitate the rate of chromosomal rearrangements leading to restructuring of the karyotypes and thereby helping the species to attempt structural alterations as means of speciation.

Indexed as

Chromosomes, PlantFabaceaeFluorescent DyesHeterochromatinIndolesKaryotypeKaryotypingDAPIFluorescent DyesHeterochromatinIndoles

Identifiers

PMID25303854
OpenAlexW2010321642

What OpenQuestion holds

Textmetadata
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.