Evidence map›Paper›PMID 28330205›Full record

Article3 Biotech2016

DNA record of some traditional small millet landraces in India and Nepal.

Subramanyam Ragupathy, Shanmughanandhan Dhivya, Kirit Patel, Abiran Sritharan, Kathirvelu Sambandan, Hom Gartaula, Ramalingam Sathishkumar, Kamal Khadka, Balasubramanian C Nirmala, A Nirmala Kumari and 1 more

Open access · hybridAbstract read
In one paragraph

Article in 3 Biotech, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
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

11 authors at 8 institutions in 3 countries.

Subramanyam RagupathyCentre for Biodiversity Genomics, University of Guelph, Guelph, ON, N1G 2W1, Canada. ragu@uoguelph.ca.
Shanmughanandhan DhivyaCentre for Biodiversity Genomics, University of Guelph, Guelph, ON, N1G 2W1, Canada.
Kirit PatelInternational Development Studies Program, Menno Simons College, Canadian Mennonite University, Winnipeg, MB, R3C 0G2, Canada.
Abiran SritharanCentre for Biodiversity Genomics, University of Guelph, Guelph, ON, N1G 2W1, Canada.
Kathirvelu SambandanPost Graduate Department of Plant Science, Avyaiyar Government College for Women, Karaikal, 609 602, U.T. of Puducherry, India.
Hom GartaulaDepartment of Anthropology, University of Manitoba, Winnipeg, R3T 2N2, Canada.
Ramalingam SathishkumarPlant Genetic Engineering Laboratory, Department of Biotechnology, Bharathiar University, Coimbatore, Tamil Nadu, India.
Kamal KhadkaLocal Initiatives for Biodiversity, Research and Development (LI-BIRD), P.O. Box 324, Pokhara, Kaski, Nepal.
Balasubramanian C NirmalaDepartment of Plant Biology and Plant Biotechnology, S.D.N.B. Vaishnav College for Women, Chromepet, Chennai, Tamil Nadu, 600 044, India.
A Nirmala KumariCentre for Excellence in Millets, Tamil Nadu Agricultural University, Atthiyandal, Thiruvannamalai District, Thiruvannamalai, Tamil Nadu, 606 603, India.
Steven G NewmasterCentre for Biodiversity Genomics, University of Guelph, Guelph, ON, N1G 2W1, Canada. snewmast@uoguleph.ca.
University of Guelph · CAAditya Birla (India) · INArunai Engineering College · INBharathiar University · INCanadian Mennonite University · CAGovernment Medical College · INPokhara University · NPUniversity of Manitoba · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the extensive use of small millet landraces as an important source of nutrition for people living in semi-arid regions, they are presently marginalized and their diversity and distribution are threatened at a global scale. Local farmers have developed ancient breeding programs entrenched in traditional knowledge (TK) that has sustained rural cultures for thousands of years. The convention on biological diversity seeks fair and equitable sharing of genetic resources arising from local knowledge and requires signatory nations to provide appropriate policy and legal framework to farmers' rights over plant genetic resources and associated TK. DNA barcoding employed in this study is proposed as a model for conservation of genetic diversity and an essential step towards documenting and protecting farmers' rights and TK. Our study focuses on 32 landraces of small millets that are still used by indigenous farmers located in the rain fed areas of rural India and Nepal. Traditional knowledge of traits and utility was gathered using participatory methods and semi-structured interviews with key informants. DNA was extracted and sequenced (rbcL, trnH-psbA and ITS2) from 160 samples. Both multivariate analysis of traits and phylogenetic analyses were used to assess diversity among small millet landraces. Our research revealed considerable variation in traits and DNA sequences among the 32 small millet landraces. We utilized a tiered approach using ITS2 DNA barcode to make 100 % accurate landrace (32 landraces) and species (six species) assignments for all 160 blind samples in our study. We have also recorded precious TK of nutritional value, ecological and agricultural traits used by local farmers for each of these traditional landraces. This research demonstrates the potential of DNA barcoding as a reliable identification tool and for use in evaluating and conserving genetic diversity of small millets. We suggest ways in which DNA barcodes could be used in the Protection of Plant Varieties and Farmers' Rights in India and Nepal.

Indexed as

DNA barcodingPPVFRSmall milletsTiered approachTraditional knowledge

Identifiers

PMID28330205
PMCPMC4903100
OpenAlexW2413069601

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.